Literature DB >> 19289956

Bias from matching on age at death or censor in nested case-control studies.

Misty J Hein1, James A Deddens, Mary K Schubauer-Berigan.   

Abstract

BACKGROUND: Nested case-control studies frequently use incidence-density sampling based on attained age when matching controls to cases. A recently suggested additional matching criterion is age at death, with eligible controls having an age at death or censor within a specified number of years of the case's age at death. We simulated occupational cohorts with time-dependent exposures to evaluate whether adding this criterion introduces bias, and we investigated alternative methods of treating workers with zero exposure because of latency assumptions (ie, "lagged-out").
METHODS: We used simulated cohorts to consider null, positive, and negative exposure effects and lag periods of 0 and 10 years. Risk sets were constructed using incidence-density sampling with matching on attained age alone or attained age plus age at death. We estimated exposure effects using conditional logistic regression for unlagged and 10-year lagged cumulative exposure. Lagged-out workers were either excluded or included and assigned zero exposure.
RESULTS: Effect estimates were generally unbiased when controls were selected by matching on attained age alone. However, the estimates were downwardly biased under the additional matching criterion. When risk was related to a lagged cumulative exposure, estimates including lagged-out workers were similarly or less biased than those excluding lagged-out workers.
CONCLUSIONS: In these simulations, incidence-density sampling with matching on attained age plus age at death introduced bias. This is because sampled controls were younger at first exposure, with higher cumulative exposure compared with controls selected by matching on attained age alone. Incidence-density sampling with matching on attained age alone (and including lagged-out workers) did not introduce bias.

Entities:  

Mesh:

Year:  2009        PMID: 19289956     DOI: 10.1097/EDE.0b013e31819ed4d2

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  4 in total

1.  Bias in full cohort and nested case-control studies?

Authors:  Sholom Wacholder
Journal:  Epidemiology       Date:  2009-05       Impact factor: 4.822

2.  Cotton dust, endotoxin and cancer mortality among the Shanghai textile workers cohort: a 30-year analysis.

Authors:  S C Fang; A J Mehta; J Q Hang; E A Eisen; H L Dai; H X Zhang; L Su; D C Christiani
Journal:  Occup Environ Med       Date:  2013-07-04       Impact factor: 4.402

3.  A Simulation Study of Relative Efficiency and Bias in the Nested Case-Control Study Design.

Authors:  Stephen Bertke; Misty Hein; Mary Schubauer-Berigan; James Deddens
Journal:  Epidemiol Methods       Date:  2013-09

Review 4.  Beryllium metal II. a review of the available toxicity data.

Authors:  Christian Strupp
Journal:  Ann Occup Hyg       Date:  2010-12-31
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.