Ph.D. Core Course Descriptions
EPID 642 Staff
Advanced Epidemiological Protocol Design
Semester course; 3 lecture hours. 3 credits. Prerequisites:
EPID 571, EPID 606, BIOS 553 and BIOS 554 Develops skills needed
to design and describe in written format a valid and appropriate
epidemiology study to address specific hypotheses. Hypotheses
and possible design methods will be discussed in class and subsequently
students will present (both orally and in written form) a research
design to include a critical review of the literature and hypotheses
to be tested. The proposal must address sample size and power,
exposure definition, methods for accurate exposure assessment,
prevention of measurement errors, and statistical methods proposed
for analysis. Doctoral students only.
EPID 690 Staff
Journal Club
Semester course; 1 lecture hour. 1 credit. Talks given
by students and faculty describing and critiquing recent published
research or review articles. Graded as "S," "U" or "F." Doctoral
students only.
PPAD 723
Survey Research Methods
Semester course; 3 lecture hours. 3 credits. Overview
of survey research methods with an emphasis on hands-on training
in how to evaluate, conduct and analyze survey research.
STAT 623
Discrete Multivariate Analysis
Semester course; 3 lecture hours. 3 credits. Prerequisite:
STAT 543 or permission of instructor. Methods for the analysis
of contingency tables. Emphasis on social and biomedical applications
of the general log-linear model.
BIOS 553-554
Applied Statistics
Continuous courses; 3 lecture hours. 3-3 credits. Prerequisites:
MATH 200-201 or equivalent, one course in statistics and permission
of instructor. Introduces applied statistics of biostatistics
intended primarily for graduate students in the Department of
Biostatistics. Reviews elementary probability, theory and frequency
distributions, sampling theory, principles of inference, one and
two sample problems. ANOVA. Principles of experimental design.
Variance components. Multiple comparison procedures. Block designs
and Latin Squares. Nested ANOVA. Multiway ANOVA. Correlation and
regression analysis. Multiple regression. Nonlinear regression.
ANCOVA. MANOVA. Repeated measures.
BIOS 631
MULTIVARIATE ANALYSIS I (4)
Semester course; 4 lecture hours. 4 credits.
Prerequisites: BIOS 514, 546 and 554. Introduction to the multivariate
distributions; sampling, estimation and inferences for multivariate
normal model. Multivariate theory and applications of the normal
mixed models, generalized linear mixed models, mixed models for
categorical data, nonlinear mixed models and multiple imputation
methods for missing data. Multivariate applications of the generalized
estimating equations.
