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BSTT 400: Biostatistics I
Descriptive statistics, basic probability concepts, one- and two-sample statistical inference, analysis of variance, and simple linear regression. Introduction to statistical data analysis software. 
Professors: Chen, E
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BSTT 401: Biostatistics II
Simple and multiple linear regression, stepwise regression, multifactor analysis of variance and covariance, non-parametric methods, logistic regression, analysis of categorical data; extensive use of computer software. 
Professors: Choi, Y; Xie, H
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BSTT 505: Logistic Regression and Survival Analysis
Interpretation of logistic regression and survival analysis models. Running logistic and proportional hazards regression models and constructing life-tables using SAS. 
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BSTT 506: Design of Clinical Trials
Rationale for clinical trials, blinding, ethical issues, methods of randomization, crossover trials, power and sample size calculations, data management, protocol deviation, data analysis, interim analysis. 
Professors: Reda, D
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BSTT 507: Sampling and Estimation Methods Applied to Public Health
The purpose of this course is to provide a comprehensive overview of current methods and issues in survey sample design and associated estimation procedures. 
Professors: Campbell, R
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BSTT 523: Biostatistics Methods I
Foundations for and introduction to statistical inference, including one- and two-sample problems; regression analysis, including multiple regression and indicator variables. 
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BSTT 524: Biostatistics Laboratory
Use of spreadsheets for statistical investigations; use of statistical software; matrix theory, including methods relevant in biostatistical analysis. 
Professors: N/A
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BSTT 525: Biostatistics Methods II
Analysis of variance and multiple comparisons; model building and diagnostics; generalized linear models; logistic and Poisson regression; introduction to repeated measures and mixed models. 
Professors: Liu, L
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BSTT 535: Categorical Data Analysis
Contingency tables and their tests, measures of association, stratified analysis, logistic regression, generalized linear model, Poisson regression, log-linear model, matched data, marginal homogeneity, ordinal data. 
Professors: N/A
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BSTT 536: Survival Analysis
Concepts of lifetime or survival distributions, especially with censored data; nonparametric estimation of the survival function; rank tests; proportional hazards regression models; parametric models. 
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