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COURSES |
- Divisions
- Epidemiology Courses
Biostatistics Courses
Genetic and Molecular Epidemiology Courses
Health Services Research Courses
Computing Courses
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EPBI 410 - Principles
of Biomedicine for Epidemiology and Biostatistics (3)
-
Basic principles of human
biology, biochemistry and immunology necessary for understanding
the biomedical issues in epidemiology and biostatistics.
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EPBI 411 - Introduction
to Behavioral Medicine (3)
-
Using a biopsychosocial
perspective, an overview of the measurement and modeling of
behavioral, social, psychological, and environmental factors
related to disease prevention, disease management, and health
promotion is provided. Instructor: Scott Frank, M.D.
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EPBI 433 - Community
Interventions and Program Evaluation (3) (Also listed as MPHP
433)
-
This course prepares
students to design, conduct, and assess community-based health
interventions and program evaluation. Topics include assessment
of need, evaluator/stakeholder relationship, process vs. outcome-based
objectives, data collection, assessment of program objective
achievement based on process and impact, cost-benefit analyses,
and preparing the evaluation report to stakeholders.
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Issues in the design,
organization and operation of randomized controlled clinical
trials and intervention studies. Topics covered will include:
legal and ethical issues in the design; application of concepts
of controls, masking and randomization; steps required for quality
data collection; monitoring for evidence of adverse or beneficial
treatment effects; elements of organizational structure; sample
size calculations and data analysis procedures; common mistakes.
Prerequisites: Basic epidemiology and biostatistics.
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EPBI 486 - Epidemiology
of Violent Behavior (2)
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Consideration of the
epidemiology of injuries caused by violent behavior. The course
will be based on analyses of current literature and emphasize
the use of epidemiologic tools in studying fatal and non-fatal
injuries due to interpersonal and intrapersonal violence. It
will consider 1) methods of surveillance of injuries to monitor
changing rates and define high-risk groups; 2) epidemiologic
analytic to define risk factors and to suggest possible intervention
strategies; and 3) the development and evaluation of specific
interventions. Students will be exposed to national and local
databases. They will be expected to make oral and written presentations
from analyses of these databases or of current literature. Presentations
of efforts in violence reduction by workers in the field will
be included.
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EPBI 487 - Pharmacoepidemiology
(3)
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Basic principles underlying
pharmacoepidemiology, including study design and sample size;
ethical issues in drug testing and approval; the use of large
databases for research; and pharmacoeconomics.
Prerequisite: EPBI 490, EPBI 491.
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Epidemiologic principles
and methods needed to understand population-based statements
of illness and health. Descriptive epidemiology, analytic epidemiology
and epidemiologic inference. Classification, morbidity and mortality
rates, sampling, screening, epidemiologic models, field trials,
controlled epidemiologic surveys, sources of bias and causal
models. Instructor: Christopher C. Whalen, M.D.
Prerequisite: STAT 201, STAT 207, STAT 312 or consent of instructor.
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EPBI 491 - Epidemiology:
Case-control Studies (3)
-
This course will cover
the methods used in the conduct of epidemiologic research. Topics
include: case control studies, cohort studies, clinical trials,
cross-section studies, exposure measurement, subject selection,
validity, reliability, sample size and power, effect modification,
confounding, bias, chance, risk assessment, frequency matching,
matching, meta-analysis. Analysis of data sets will be given
as well. Instructor: Daniel Tisch, Ph.D.
Prerequisite: EPBI 431, EPBI 490
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EPBI 492 - Epidemiology:
Cohort Study Design and Analysis (3)
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The course focuses on
strategies for model building. Topics include the analysis of
cohort and case-control studies where the emphasis is on risk
estimation. Students are expected to analyze a database obtained
from a cohort study of the effects of maternal alcohol drinking
on outcomes of pregnancy and from a related nested case-control
study. The analysis of survival data focuses on parametric and
non-parametric techniques and utilizes data from an ongoing
study of quality of life of patients on kidney dialysis. In
addition to regular class assignments, students are expected
to write a report on each of the databases and present results
to the class. Instructor: Ajay Sethi, Ph.D.
Prerequisite: EPBI 432, EPBI 491 or consent of instructor.
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EPBI 493 - The Epidemiology
of Cardiovascular Disease (3)
-
This course will familiarize
students with the known factors contributing to various forms
of cardiovascular disease in industrialized nations. It will
also introduce the concept of prevention and the influence of
behavior modification upon patient's health.
Prerequisite: EPBI 490 or equivalent.
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The epidemiology, prevention
and control of representative infectious disease models. Emphasis
on the triad of agent, host and environment and the molecular
and genetic basis of agent and host interaction in the population.
Instructor: Christopher C. Whalen, M.D.
Prerequisite: EPBI 490 and a microbiology course or consent
of instructor.
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EPBI 497 - Epidemiologic
Studies of Cancer Etiology and Prevention (3)
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Provides descriptive
epidemiology of most major types of cancer. Examines current
knowledge of the role that host factor, lifestyle, chemicals,
radiation, viruses, familial factors and benign diseases play
in the etiology of various cancers, as determined from studies
of human populations. Applications of epidemiologic principles
to programs of primary, and secondary cancer prevention.
Prerequisite: EPBI 490
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EPBI 498 - Cancer
Epidemiologic Analyses of National Data (3)
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Practical experience
in analysis of cancer data including: defining a hypothesis,
conducting a literature search, designing appropriate analyses,
analyzing the data, and reporting the findings. Students analyze
cancer data sets currently on file, such as National Cancer
Institute's Surveillance, Epidemiology, and End Results.
Prerequisites: EPBI 432 and EPBI 491
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EPBI 501 - Student
Seminar (0)
-
Students and faculty
have the opportunity to meet on a weekly basis to discuss papers
in the literature. Each week a paper is reviewed in detail by
a graduate student in a formal presentation. Discussion of the
strengths and weaknesses of the work gives insights into the
complexities of investigations in the Public Health arena. Instructor:
Alfred A. Rimm, Ph.D.
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EPBI 508 - Ethics,
Law, and Epidemiology (3)
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This course is designed
to provide epidemiology students with basic knowledge about
the legal system and its impact on the work that they will be
doing as epidemiologists. Subject areas include an overview
of the legal system, designing the conducting a study, appearance
as an expert witness, and the drafting of rules and legislation.
Students should have a basic knowledge of study design and analytic
techniques. Instructor: Sana Loue, Ph.D.
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EPBI 592 - Special
Topics in Epidemiology (3)
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Vaccine development,
epidemic models; nutritional epidemiology, genetic epidemiology;
opportunistic infections; nosocomial infections; prevention
strategies.
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EPBI 601 - Masters
Project Research (credit as arranged)
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EPBI 651 - Thesis
M.S. (credit as arranged)
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EPBI 701 - Dissertation
Ph.D. (credit as arranged)
-
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This course is designed to introduce students to the use of computers for
development of statistical investigation and provide familiarity with different types of statistical
applications and software. Topics include an overview of the UNIX operating system, SAS, and
SPSS software packages. Using SAS in the UNIX and Windows environment will be covered in detail.
The main focus of this course is to develop skills in data entry, import and export, data manipulation and
management, presenting descriptive statistical results and basic data analysis. Familiarity with basic statistics
is not required but is useful. Extra topics introducing SAS programming code for advanced statistical analyses
will be provided but not included in homework and exams. Instructor: David Bruckman, MS, MT(ASCP)
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EPBI 430 - Mathematics
for Biomedical Sciences (0)
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This tutorial course
is divided into three sections of equal length. 1) Review of
the basic concepts of Algebra including quadratic equations,
line and linear relations, exponential, logarithmic, trigonometric,
and other relevant functions. 2) Integration techniques including
integration, definite integrals, multiple integrals with change
of variables, linear approximation, and series. 3) The numerical
and geometric presentation of vectors and matrices. Additional
topics will include: elementary matrix operations, determinants,
rank, linear dependence, eigenvalues and eigenvectors and matrix
inversion.
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(Also listed as ANAT
431, ANES 431 and BIOL 431)
Application of statistical techniques with particular emphasis
on problems in the biomedical sciences. Basic probability theory,
random variables, and distribution functions. Point and interval
estimation, regression, correlation, and analysis of variance.
Problems whose solution involves using packaged statistical
programs. Instructor: Stephen Ganocy, Ph.D.
Prerequisite: Two semesters of calculus or consent of instructor.
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EPBI 432 - Statistical
Methods in Biological and Medical Sciences II (3)
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(Also listed as ANAT
432, ANES 432 and BIOL 432)
Methods of analysis of variance, regression and analysis of
quantitative data. Emphasis on computer solution of problems
drawn from the biomedical sciences. Design of experiments, power
of tests, and adequacy of models. Instructor: Mireya Diaz-Insua,
Ph.D.
Prerequisite: EPBI 431 or consent of instructor.
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EPBI 435 - Survival
Data Analysis (3)
-
This course will discuss
the basic concepts of survival analysis including hazard function,
survival function, types of censoring, Kaplan-Meier estimates,
log-rank tests, and the generalized Wilcoxon tests. Parametric
inference will include exponential and Weibull distributions
with and without censoring. The proportional hazard and other
methods of handling covariates will be discussed. Instructor:
Pingfu Fu, Ph.D.
Prerequisite: EPBI 432, 481 or equivalent.
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EPBI 441 - Biostatistics
I (Generalized Linear Models) (3)
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Selected topics in linear
and logistic models. Model fitting, estimation, and measures
of goodness of fit for continuous and binary data. Special problems
encountered in selection of models. Instructor: Paul K. Jones,
Ph.D.
Prerequisites: EPBI 432 and EPBI 481.
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EPBI 442 - Biostatistics
II (Nonparametric Statistics) (3)
-
This course deals with
the basic concepts and applications of nonparametric statistics.
Topics will include distribution-free statistics, one sample
rank test, the Mann-Whitney and Kruskal Wallis tests, one sample
and two sample U-statistics, asymptotic relative efficiency
of tests, distribution-free confidence intervals, point estimation
and linear rank statistics. Instructor: Paul K. Jones, Ph.D.
Prerequisite: EPBI 432 or equivalent.
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EPBI 443 - Applied
Multivariate Analysis (3)
-
This course will start
with review of matrix algebra as it pertains to multivariate
statistics, then proceeds to study inference about multivariate
means: Hotelling's T2, MANOVA, MANCOVA, growth curves, and other
linear models such as simultaneous confidence interval, multivariate
multiple regression, principal components, factor analysis,
cluster analysis, linear discriminant analysis and its relationship
to logistic model. Instructor: J. Sunil Rao, Ph.D.
Prerequisite: EPBI 432, EPBI 481 or STAT 381 or equivalent.
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EPBI 446 - Experimental
Design for Biomedical Sciences (3)
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This course deals with
basic problems of experimental design. Topics will include completely
randomized and balanced incomplete block designs, parallel group
designs, Youden and Latin squares, repeated measurement studies,
factorial experiments and designs for bioassays and response
surfaces.
Prerequisite: EPBI 432 or consent of instructor.
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EPBI 447 - Survey
Sampling Methods in Health Sciences (3)
-
This course will discuss
the basic concepts of sampling theory including simple random
and systematic sampling, ratio and regression methods of estimation,
stratified and cluster sampling, randomized response survey
and their applications in health sciences.
Prerequisite: EPBI 432 or consent of instructor.
-
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Issues in the design,
organization and operation of randomized controlled clinical
trials and intervention studies. Topics covered will include:
legal and ethical issues in the design; application of concepts
of controls, masking and randomization; steps required for quality
data collection; monitoring for evidence of adverse or beneficial
treatment effects; elements of organizational structure; sample
size calculations and data analysis procedures; common mistakes.
Instructor: Alfred A. Rimm, Ph.D.
Prerequisites: Basic epidemiology and biostatistics.
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EPBI 453 - Categorical
Data Analysis (3)
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Descriptive and inferential
methods for categorical data with applications: bivariate data;
models for binary and multinomial response variables, with emphasis
on logit models; loglinear models for multivariate data; model
fitting using the maximum likelihood approach; model selection
and diagnostics; and sample size and power considerations. Topics
in repeated response data as time allows. Instructor: Paul
K. Jones, Ph.D.
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EPBI 458 - Statistical
Methods for Clinical Trials (3).
-
This course will focus
on special statistical methods and philosophical issues in the
design and analysis of clinical trials. The emphasis will be
on practically important issues that are typically not covered
in standard Biostatistics courses. Topics will include: randomization
techniques, intent-to-treat analysis, analysis of compliance
data, equivalency testing, surrogate endpoints, multiple comparisons,
sequential testing, and Bayesian methods. Instructor: Jeffrey
M. Albert, Ph.D.
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EPBI 459 - Longitudinal
Data Analysis (3).
-
This course will cover
statistical methods for the analysis of longitudinal data with
an emphasis on applications in biological and health research.
Topics include: exploratory data analysis, response feature
analysis, growth curve models, mixed-effect models, generalized
estimating equations, and missing data. Instructor: Jeffrey
M. Albert, Ph.D.
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EPBI 471 - Special
Topics in Biostatistics (3)
-
Each year, different
special topics are covered, such as: sampling methods, bioassay,
statistical genetics, multivariate analysis, sequential analysis,
stochastic models. Instructor: J. Sunil Rao, Ph.D.
Prerequisite: EPBI 442.
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EPBI 480 - Introduction
to Mathematical Statistics (3)
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An introduction to statistical
inference at an intermediate mathematical level. The concepts
of random variables and distributions, discrete and continuous,
are reviewed. Topics covered at an intermediate level include:
expectations, variance, moments, the moment generating function;
overview of some fundamental probability distributions; the
central limit theorem; Bayes estimation, maximum likelihood
estimators, unbiased estimators, sufficient statistics; confidence
intervals, Fisher information; hypothesis testing, uniformly
most powerful tests and multi-decision problems. Instructor:
Courtney Gray-Mcguire, Ph.D.
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EPBI 481 - Theoretical
Statistics I (3)
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Basic probability theory.
Estimation techniques for the parameters of the basic distributions:
maximum likelihood, method of moments, unbiased estimates, confidence
intervals, sufficient statistics, Cramer- Rao inequality. Transformations
of random variables. F and t distributions. Order statistics.
Instructor: R. Pilla
Prerequisite: Math 223.
Corequisites: EPBI 431. STAT 286 or STAT 385 or consent of instructor.
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EPBI 482 - Theoretical
Statistics II (3)
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Hypothesis testing: Neyman-Pearson
Lemma, - uniformly most powerful test, likelihood ratio tests,
sequential tests. Exponential families. Rao Blackwell theorem.
Linear models. Nonparametric methods. Multivariate normal distributions.
Likelihood, repeated sampling, conditionality and other basic
principles. Instructor: R. Pilla
Prerequisite: EPBI 481.
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EPBI 496 - Mathematical
Models of Disease (3)
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This course covers introductory
concepts of stochastic processes, with particular emphasis on
Poisson, renewal and Markov processes. Examples highlight the
art of modeling, focusing on models of chronic and infectious
disease progression and infectious disease transmission. Simulation
methods are used to obtain solutions.
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EPBI 501 - Student
Seminar (0)
-
Students and faculty
have the opportunity to meet on a weekly basis to discuss papers
in the literature. Each week a paper is reviewed in detail by
a graduate student in a formal presentation. Discussion of the
strengths and weaknesses of the work gives insights into the
complexities of investigations in the Public Health arena. Instructor:
Alfred A. Rimm, Ph.D.
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EPBI 503 - Seminar
in Biostatistics (0)
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Presentation of original
research or recent publications by faculty and students in the
area of Biostatistics. Instructor: Jeffrey M. Albert, Ph.D.
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EPBI 514 - Advanced
Statistical Computing (3)
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Computational aspects
of statistics and statistical modeling, including both graphical
and analytic methods. The S programming language. The use of
S and other computational tools to explore and analyze data
in ways that are difficult to accomplish with standard statistical
packages.
Prerequisites: EPBI 414.
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EPBI 535 - Topics
in Advanced Survival Analysis (3)
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Topics of current research
interest in survival analysis. Topics may change from year to
year.
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EPBI 563 - Pattern
Recognition Techniques in Biomedical Research (3)
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Overview of pattern recognition.
Supervised learning using parametric and nonparametic statistics,
linear discriminant functions, discrete and binary classification
problems. Overview of syntactic methods. Introduction to neural
networks. Neural approaches to supervised and unsupervised learning.
Neural pattern associators and matrix approaches. Applications
relevant to biomedical research.
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EPBI 601 - Masters
Project Research (credit as arranged)
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EPBI 602 - Practicum (credit as arranged)
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EPBI 651 - Thesis
M.S. (credit as arranged)
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EPBI 701 - Dissertation
Ph.D. (credit as arranged)
Genetic
and Molecular Epidemiology Courses
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EPBI 448 - Genetic
Analysis Programs (3)
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Theory underlying software
developed specifically for the genetic analysis of family data.
The course will focus mainly on the programs in the S.A.G.E.
(Statistical Analysis for Genetic Epidemiology) program package,
but will also cover other programs that are available. Use of
these programs determine genetic components of complex traits
and writing up reports summarizing the results. Instructor:
Robert C. Elston, Ph.D.
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EPBI 451 - Principles
of Genetic Epidemiology (3)
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A survey of the basic
principles, concepts and methods of the discipline of genetic
epidemiology, which focuses on the role of genetic factors in
human disease and their interaction with environmental and cultural
factors. Many important human disorders appear to exhibit genetic
components; hence the integrated approaches of genetic epidemiology
bring together epidemiologic and human genetic perspectives
in order to answer critical questions about human disease. Methods
of inference based upon data from individuals, pairs of relatives,
and pedigrees will be considered. Instructor: Sudha Iyengar,
Ph.D. and Robert C. Elston, Ph.D.
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EPBI 452 - Statistical
Method in Human Genetics (3)
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Analytical methods for
evaluating the role of genetic factors in human disease, and
their interactions with environmental factors. Statistical methods
for the estimation of genetic parameters and testing of genetic
hypotheses, emphasizing maximum likelihood methods. Models to
be considered will include such components as genetic loci of
major effect, polygenic inheritance, and environmental, cultural
and developmental effects. Topics will include familial aggregation,
segregation and linkage analysis, ascertainment, linkage disequilibrium,
disease marker association studies, population comparison and
twin studies. Instructor: Robert C. Elston, Ph.D. and Rob Igo, Ph.D.
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EPBI 454 - Population
Genetics for Genetic Epidemiology (3)
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This course will cover
basics of population genetics (mutation, migration, natural
selection) as well as topics such as random mating populations
and inbred populations. Emphasis will be placed on migration
studies and on linkage disequilibrium mapping. Measures of linkage
disequilibrium, methods for linkage disequilibrium mapping of
disease genes and the uses of isolated versus outbred populations
in linkage disequilibrium mapping will be discussed. Instructor:
Xiaofeng Zhu, Ph.D. and Yuqun Luo, Ph.D.
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EPBI 455 - Genetic
Epidemiology of Common Diseases (3)
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Causation and causal
inference. Evaluation of genetic epidemiologic study designs.
Detailed investigation of the genetic epidemiology of common
disorders, such as hypertension, asthma, rheumatoid arthritis,
Alzheimer's, schizophrenia, and carcinogenesis.
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EPBI 457 - Genetic
Linkage Analysis (3).
-
Methods of analyzing
human data to detect genetic linkage between disease traits,
discrete and continuous, and polymorphic markers. Both model-based
maximum likelihood (Lod score) and model-free robust methods
will be discussed. Additional topics covered will include measures
of informativeness, multipoint analysis, numerical methods and
Mod score analysis. Instructor: Catherine Stein, Ph.D.
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EPBI 462 - Computation
Methods in Genetic Epidemiology (3)
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Methods for computing
genetic likelihoods and estimating genetic parameters; Elston-Stewart
algorithm, IBD computation; Markov Chain Monte Carlo methods;
Newton-Raphson; E-M Algorithm. Instructor: Yuqun Luo, Ph.D.
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EPBI 472 - Special
Topics in Statistical Genetics (1-4)
-
Various topics in statistical
genetics will be discussed, depending on student interest and
needs. Examples of topics are paternity and zygosity testing,
path analysis for genetic epidemiology, the analysis of racial
admixture and modeling such phenomena as imprinting and anticipation.
The course will consist of four modules. A student may, in consultation
with the instructor, elect to take 1 - 4 modules for the corresponding
amount of credit. Instructor: Various Faculty
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EPBI 501 - Student
Seminar (0)
-
Students and faculty
have the opportunity to meet on a weekly basis to discuss papers
in the literature. Each week a paper is reviewed in detail by
a graduate student in a formal presentation. Discussion of the
strengths and weaknesses of the work gives insights into the
complexities of investigations in the Public Health arena. Instructor:
Alfred A. Rimm, Ph.D.
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EPBI 502 - Seminar
in Genetic Epidemiology (0)
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Presentation of original
research or recent journal publications in the field of genetic
epidemiology by faculty and students. Instructor: Catherine Stein, Ph.D.
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EPBI 601 - Masters
Project Research (credit as arranged)
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EPBI 651 - Thesis
M.S. (Credit as arranged)
-
EPBI 701 - Dissertation
Ph.D. (credit as arranged)
Health Services Research Courses
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EPBI 408 - Public
Policy and Aging (3)
-
Overview of aging and
the aged. Concepts in the study of public policy. Policies on
aging and conditions that they address. The politics of policies
on aging. Emergent trends and issues. Instructor: Robert
Binstock, Ph.D.
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EPBI 440 - Seminar
in Health Policy (3)
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This seminar course provides
an overview of the history of the American health care system,
current issues facing the health care industry (such as access,
cost, and quality), and potential health policy solutions. Discussions
will be lead by local experts in the field of health policy
and research. The goal of the course is to provide students
with a thought-provoking overview of health services delivery
which will serve as a foundation for future courses and research.
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EPBI 460 - Health
Research Methods I (3)
-
This is a course in research
methods which focuses on practical issues in the conduct of
epidemiological and health services research studies with an
emphasis on survey research methods. Topics include: the interrelationship
between theory and research; identifying and formulating epidemiological
and health services research questions and hypotheses; research
design; sampling strategies; measurement and operationalization;
questionnaire design; interviewing, codebook construction; data
editing and coding; secondary analysis; issues in the selection
of database management and statistical analysis software; and
political and ethical influences on research. Instructor:
Kathleen A. Smyth, Ph.D.
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This course covers the
measurement of baseline health status and the processes and
outcomes of medical care. Specific methods for describing severity
of illness, resource use, appropriateness of care, quality of
care, and patient satisfaction are presented. Examples are drawn
from hospital care (for example, Diagnosis-Related Groups [DRG's],
MEDISGROUPS, and APACHE, and the Appropriateness Evaluation
Protocol [AEP]). The focus is on acute-care; issues involved
in measuring long-term care and ambulatory care are discussed.
Students will gain a conceptual understanding of the systems
and practical guidance in selecting, implementing, and evaluating
systems. Instructor: E.L. (Mendel) Singer, Ph.D.
Prerequisite: EPBI 460 or consent of instructor.
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EPBI 463 - Survey
Design and Data Collection (3)
-
The purpose for this
course is to provide hands on experience in designing and conducting
surveys in health research. The topics include sampling, types
of surveys (e.g. interviews, mail, telephone, medical records),
questionnaire design (i.e. multiple indicator models, index
and scale construction, assessing psychometrics properties),
field operations (i.e. data collection, editing and coding).
Instructor: Elaine A. Borawski, Ph.D.
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EPBI 464 - Decision
Support Systems (3)
-
Review of methods for
decision support in medicine. Review of existing methods for
aiding decisions including artificial intelligence and statistical
methods to enhance diagnostic accuracy (Bayesian methods, classical
multivariate analysis, etc.) Methods for improving the display
of information. Theoretical and empirical limitations of these
decision aids. Lab exercises include the use of expert system
and statistical software.
Prerequisite: MATH 491 or equivalent.
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EPBI 465 - Clinical
Decision Analysis (3)
-
This course covers the
application of decision trees to clinical problems, estimation
and revision of probabilities including Bayes Theorem, utility
analysis, cost benefit and cost effectiveness, sensitivity analysis,
ROC curves and microcomputer programs for clinical decision
analysis.
Prerequisite: Consent of the instructor.
-
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Evaluation of alternative
medical treatments and drug therapies. Topics include cost-benefit,
cost-effectiveness and cost-utility analysis. Measuring cost,
benefits and health outcomes. Quality of life and other measures
of effectiveness will also be addressed. Emphasis on case studies,
course project, and evaluation of publications. Some decision
analysis and policy implications will also be included. Instructor:
E.L. (Mendel) Singer, Ph.D.
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EPBI 468 - The Continual
Improvement of Healthcare: An Interdisciplinary Course (3)
-
The focus of this course
is on collaborative work for the benefit of patients and community.
Seminar classwork is combined with a field project, in which
interdisciplinary student teams apply what they have learned
to the improvement activities of a local health care organization.
Successful completion of the course depends on participation
in seminar sessions and completion of the interdisciplinary
student team project. Instructor: Duncan B. Neuhauser, Ph.D.
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EPBI 488 - Gender,
Ethnicity, and Health Research (3)
-
The course is designed
to acquaint students with the literature addressing the constructs
of race, ethnicity, gender and social class; to examine critically
the contexts in which these constructs are often applied; and
to assess the relationship between each of these constructs
and access to health care, quality of care, and health outcome.
Instructor: Sana Loue, Ph.D.
-
EPBI 489 - Biomedical
Perspectives on Women's Health (3)
-
This course explores
constructs of gender, women's access to health care, the quality
of women's health care, and women's participation in biomedical
research. These themes are examined in the context of various
substantive areas, including reproductive health, mental health
and illness, cancer, and cardiovascular disease. The course
also examines methodological issues in design that are related
to gender.
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EPBI 501 - Student
Seminar (0)
-
Students and faculty
have the opportunity to meet on a weekly basis to discuss papers
in the literature. Each week a paper is reviewed in detail by
a graduate student in a formal presentation. Discussion of the
strengths and weaknesses of the work gives insights into the
complexities of investigations in the Public Health arena. Instructor:
Alfred A. Rimm, Ph.D.
-
EPBI 505 - Seminar:
Ethical Issues in Research (0)
-
The twentieth-century
biomedical research revolution has produced a variety of ethical,
social, and legal controversies. In this course we will discuss
important issues related to contemporary research activities.
Topics to be addressed include: principles governing experimentation
on human beings; special issues raised by randomized clinical
trials, phase I trials, innovative therapies, and "rescue"
research (e.g., the artificial heart); research on children
and other vulnerable populations; gender and racial biases in
research; access to experimental treatments for HIV-infected
and other seriously ill persons; use of Nazi and other "tainted"
research data; and scientific misconduct.
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EPBI 515 - Secondary
Analysis of Large Health Care Data
-
Development of skills
in working with the large-scale secondary databases generated
for research, health care administration/billing, or other purposes.
Students will become familiar with the content, strength, and
limitations of several databases; with the logistics of obtaining
access to databases; the strengths and limitations of routinely
collected variables; basic techniques for preparing and analyzing
secondary databases and how to apply the techniques to initiate
and complete empirical analyses. Instructor: Siran Koroukian,
Ph.D.
Prerequisites: EPBI 414 or equivalent; EPBI 460 and EPBI 461
(for HSR students) or EPBI 495 (for EPI students).
-
EPBI 601 - Masters
Project Research (credit as arranged)
-
EPBI 651 - Thesis
M.S. (Credit as arranged)
-
EPBI 701 - Dissertation
Ph.D. (credit as arranged)
-
-
This course is designed to introduce students to the use of computers for development
of statistical investigation and provide familiarity with different types of statistical applications
and software. Topics include an overview of the UNIX operating system, SAS, and SPSS
software packages. Using SAS in the UNIX and Windows environment will be covered in
detail. The main focus of this course is to develop skills in data entry, import and export, data
manipulation and management, presenting descriptive statistical results and basic data analysis.
Familiarity with basic statistics is not required but is useful. Extra topics introducing SAS programming
code for advanced statistical analyses will be provided but not included in homework and exams.
Instructor: David Bruckman, MS, MT(ASCP)
-
EPBI 514 - Advanced
Statistical Computing (3)
-
Computational aspects
of statistics and statistical modeling, including both graphical
and analytic methods. The S programming language. The use of
S and other computational tools to explore and analyze data
in ways that are difficult to accomplish with standard statistical
packages.
Prerequisites: EPBI 414.
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