Skip to main content
Journal cover image

A regression model for longitudinal change in the presence of measurement error.

Publication ,  Journal Article
Yanez, ND; Kronmal, RA; Shemanski, LR; Psaty, BM; Cardiovascular Health Study
Published in: Ann Epidemiol
January 2002

PURPOSE: The analysis of change in measured variables has become quite popular in studies where data are collected repeatedly over time. The authors describe some of the potential pitfalls in the analysis of change when the variable for change is measured with error. They show that regression analysis is often biased, possibly leading to erroneous results. METHODS: A simple method to correct for measurement error bias in regression models that model change is presented. RESULTS AND CONCLUSIONS: The two examples illustrate how measurement error can adversely affect an analysis. The bias-corrected approach yields valid results.

Duke Scholars

Published In

Ann Epidemiol

DOI

ISSN

1047-2797

Publication Date

January 2002

Volume

12

Issue

1

Start / End Page

34 / 38

Location

United States

Related Subject Headings

  • Risk Factors
  • Regression Analysis
  • Models, Statistical
  • Lipoproteins
  • Humans
  • Epidemiology
  • Coronary Disease
  • Bias
  • Aged
  • 42 Health sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Yanez, N. D., Kronmal, R. A., Shemanski, L. R., Psaty, B. M., & Cardiovascular Health Study. (2002). A regression model for longitudinal change in the presence of measurement error. Ann Epidemiol, 12(1), 34–38. https://doi.org/10.1016/s1047-2797(01)00280-0
Yanez, N David, Richard A. Kronmal, Lynn R. Shemanski, Bruce M. Psaty, and Cardiovascular Health Study. “A regression model for longitudinal change in the presence of measurement error.Ann Epidemiol 12, no. 1 (January 2002): 34–38. https://doi.org/10.1016/s1047-2797(01)00280-0.
Yanez ND, Kronmal RA, Shemanski LR, Psaty BM, Cardiovascular Health Study. A regression model for longitudinal change in the presence of measurement error. Ann Epidemiol. 2002 Jan;12(1):34–8.
Yanez, N. David, et al. “A regression model for longitudinal change in the presence of measurement error.Ann Epidemiol, vol. 12, no. 1, Jan. 2002, pp. 34–38. Pubmed, doi:10.1016/s1047-2797(01)00280-0.
Yanez ND, Kronmal RA, Shemanski LR, Psaty BM, Cardiovascular Health Study. A regression model for longitudinal change in the presence of measurement error. Ann Epidemiol. 2002 Jan;12(1):34–38.
Journal cover image

Published In

Ann Epidemiol

DOI

ISSN

1047-2797

Publication Date

January 2002

Volume

12

Issue

1

Start / End Page

34 / 38

Location

United States

Related Subject Headings

  • Risk Factors
  • Regression Analysis
  • Models, Statistical
  • Lipoproteins
  • Humans
  • Epidemiology
  • Coronary Disease
  • Bias
  • Aged
  • 42 Health sciences