G652: Biostatistics I

 Division of Biostatistics
Fall 2007

Course Description and Objectives

G652 is an advanced applied biostatistics course designed for students with an interest in the health sciences. Students are expected to have completed at least one semester course of basic biostatistics. Knowledge of probability and probability distributions, concepts of estimation and hypothesis testing are assumed. Topics covered in this course include multiple linear regression, multi-factor analysis of variance, analysis of covariance, analysis of repeated measures, logistic regression model, and survival analyses. Upon completion of the course, students are expected to understand the appropriate statistical models for various outcomes and be able to interpret results using statistical techniques covered in this course. Students are also expected to conduct simple analyses using SPSS on personal computers.

Textbook

Principles of Biostatistics, 2nd Edition, by Pagano and Gauvreau

 Prerequisite

G651 or equivalent to G651

 Syllabus

 Multiple linear regression:

Multiple correlation coefficient and interpretations, Inference, Confounder bias,Polynomial terms, Indicator variables, Interactions, Model selection, Residual plots, Outliers, Examining the assumptions, Transformation of predictors, Common misuse of regression models

Analysis of Variance (ANOVA):

Review of One factor ANOVA and, Multiple comparisons, Multi-factor ANOVA, Interactions

Analysis of Covariance (ANCOVA):

Indicator variables, Interactions

Random effect models and analysis of repeated measures

Logistic regression:

2x2 tables and odds ratio, Parameter estimation and inference

Diagnostic Tests:

Sensitivity and Specificity, ROC curve

Survival analysis:

Censoring, Survival function, Hazard function, Estimation of survival function and

 Hazard function (life-table method and Kaplan-Meier method), Comparing survival

functions, Cox’s Proportional hazard model