Science at the heart of medicine

7504 Multivariable Regression

COURSE DESCRIPTION: Multivariable Regression builds on the knowledge of univariate and bivariate analyses that were learned in the Clinical Research Intensive course and introduces concepts related to multivariable model building for multiple linear regression, logistic regression and survival analysis. Both the lecture and the lab will focus on multiple regression model building, interpretation and diagnostic tests, assessing for interaction, and statistical adjustment for confounding.

REQUIRED MATERIALS:  

  • Regression Methods in Biostatistics. Vittinghoff et al:
    • NOTE: this textbook is available online via the Einstein library as a pdf
     
  • Primer of Applied Regression and Analysis of Variance. Glantz & Slinker:
    • NOTE: available for loan via the CRTP Library—please see Nancy Marte in Block 506
     
  • Applied Logistic Regression by David W. Hosmer, Stanley Lemeshow & Rodney X. Sturdivant (3rd edition),
    • NOTE: this textbook is available online via the Einstein library as a pdf
     
  • Survival Analysis: A Self-learning Text by David Kleinbaum and Mitchel Klein (3rd edition)
    • NOTE: this textbook is available online via the Einstein library as a pdf
     

PREREQUISITES: Clinical Research Intensive

STUDENT PREPARATION: Students are expected to know the material covered in Clinical Research Intensive, including univariate and bivariate statistical analyses and basic epidemiological study designs.

SUITABLE FOR 1ST YEAR STUDENTS: No

UNIQUE TRAINING OFFERED IN THIS COURSE: N/A

STUDENT ASSESSMENTS: Class Participation 10%, Homework 40%, In-class quizzes 10%, Final Exam (take home) 40%

(CLOSED REGISTRATION) LIMITED TO 15 STUDENTS NEED APPROVAL FROM PROGRAM DIRECTOR-DR. AILEEN MCGINN (PICK UP COURSE REGISTRATION FORM IN THE GRADUATE OFFICE) 

CREDIT HOURS: 5.0