Section 3: Statistical Modeling

Instructor:

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

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.
  4. To fit nonlinear patterns in data through the use of piecewise polynomial regression models.

Required Reading

  • K&S Chapters 10-13, Sections 29.1-29.3, 29.8, 30.2, 38
Recommended Reading
  • Spanos, Harrell, and Durack, JAMA 262: 2700; 1989.
  • Harrell, Lee, and Pollock, J Nat Cancer Institute 80: 1198; 1988.

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