Section 3: Statistical Modeling

Instructor: Lily Wang

In many studies, multivariable statistical models are used to estimate an effect after controlling for a number of extraneous factors. For example, a statistical model might be used to estimate the effect of an intervention on 30-day mortality probabilities, adjusting for the severity of the patient s condition at the time of the intervention. Statistical models are also used for predicting outcomes, such as final diagnosis or in-hospital mortality. This section describes the uses, interpretation and limitations of statistical models.

Handouts (Updated Version)

slides # 4,5,9,14,40,41,59,60,67 in the updated version were new from the draft version

Learning Objectives

  1. To discuss simple linear regression.
  2. To discuss the use of regression models for prediction and inference.
  3. To discuss the use of multivariable techniques for statistical adjustment and improvements in inference.

Required Reading

  • K&S Chapters 10-13, Sections 29.1-29.3, 29.8,38

Recommended Reading

  • Spanos, Harrell, and Durack, JAMA 262: 2700; 1989.
  • Harrell, Lee, and Pollock, J Nat Cancer Institute 80: 1198; 1988.

For Further Reading

Edit | Attach | Print version | History: r9 | r8 < r7 < r6 < r5 | Backlinks | View wiki text | Edit WikiText | More topic actions...
Topic revision: r7 - 21 Oct 2004, LilyWang

This site is powered by FoswikiCopyright © 2013-2022 by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding Vanderbilt Biostatistics Wiki? Send feedback