COURSE DESCRIPTION: This course consists of a total of 14 lectures/labs which will be taught in two 7-week modules. The first module will cover logistic regression and the second module will cover survival analysis. Each module has a required textbook and will have weekly reading and graded homework assignments and a take-home exam.

OBJECTIVES: To learn the basics and applications of logistic regression in assessing associations between exposure/explanatory variables and a dichotomous outcome variable.

To learn fundamental methods in analyzing time to event data using survival analysis, especially Cox proportional hazards modeling.

Use STATA software to conduct both logistic regression and survival analysis and to be able to interpret the statistical output related to these modeling techniques.

RECOMMENDED MATERIALS: For Module One: Applied Logistic Regression by David W. Hosmer & Stanley Lemeshow (2nd edition), 2000, Wiley; ISBN-13: 978-0471356325

For Module Two: Survival Analysis: A Self-learning Text by David Kleinbaum and Mitchel Klein (3rd edition) Springer; ISBN: 978-1-4419-6645-2 (Print) 978-1-4419-6646-9 (Online) NOTE: this textbook is available via the Einstein library.

PREREQUISITES: N/A

SUITABLE FOR 1ST YEAR STUDENTS: No

STUDENT ASSESSMENTS: A final grade of pass/fail for Biostatistics III will be assigned based on both modules: Class Participation 10%; Homework 30%; Module one exam 30% and Module two exam 30%

CREDIT HOURS: 2.0