Difficulties with Regression Analysis of Age-Adjusted Rates.

Abstract

A common type of observational study compares population rates in several regions having differing policies in an effort to assess the effects of those policies. In many studies, particularly in public health and epidemiology, age-adjusted rates are regressed on predictor variables to obtain a covariance adjusted estimate of effect; we show that this estimate is generally biased for the appropriate regression coefficient. The analysis of crude rates with age as a covariate can, under familiar models, leads to unbiased estimates, and therefore can be preferrable. Several other regression methods are also considered. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1982
Accession Number
ADA124381

Entities

People

  • Donald B. Rubin
  • Paul R. Rosenbaum

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Age Distribution
  • Classification
  • Covariance
  • Data Analysis
  • Data Science
  • Epidemiology
  • Health
  • Information Science
  • Mathematics
  • Motor Vehicles
  • New York
  • Public Health
  • Regression Analysis
  • State Law
  • Statistical Analysis
  • Statistics
  • United States

Fields of Study

  • Mathematics

Readers

  • Infectious Disease/Epidemiology
  • Regression Analysis.