» Articles » PMID: 26051242

A Method Making Fewer Assumptions Gave the Most Reliable Estimates of Exposure-outcome Associations in Stratified Case-cohort Studies

Overview
Publisher Elsevier
Specialty Public Health
Date 2015 Jun 9
PMID 26051242
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: A case-cohort study is an efficient epidemiological study design for estimating exposure-outcome associations. When sampling of the subcohort is stratified, several methods of analysis are possible, but it is unclear how they compare. Our objective was to compare five analysis methods using Cox regression for this type of data, ranging from a crude model that ignores the stratification to a flexible one that allows nonproportional hazards and varying covariate effects across the strata.

Study Design And Setting: We applied the five methods to estimate the association between physical activity and incident type 2 diabetes using data from a stratified case-cohort study and also used artificial data sets to exemplify circumstances in which they can give different results.

Results: In the diabetes study, all methods except the method that ignores the stratification gave similar results for the hazard ratio associated with physical activity. In the artificial data sets, the more flexible methods were shown to be necessary when certain assumptions of the simpler models failed. The most flexible method gave reliable results for all the artificial data sets.

Conclusion: The most flexible method is computationally straightforward, and appropriate whether or not key assumptions made by the simpler models are valid.

Citing Articles

Interaction between plasma phospholipid odd-chain fatty acids and GAD65 autoantibodies on the incidence of adult-onset diabetes: the EPIC-InterAct case-cohort study.

Lampousi A, Carlsson S, Lofvenborg J, Cabrera-Castro N, Chirlaque M, Fagherazzi G Diabetologia. 2023; 66(8):1460-1471.

PMID: 37301794 PMC: 10317878. DOI: 10.1007/s00125-023-05948-x.


Interaction Between GAD65 Antibodies and Dietary Fish Intake or Plasma Phospholipid n-3 Polyunsaturated Fatty Acids on Incident Adult-Onset Diabetes: The EPIC-InterAct Study.

Lofvenborg J, Carlsson S, Andersson T, Hampe C, Koulman A, Chirlaque Lopez M Diabetes Care. 2020; 44(2):416-424.

PMID: 33303636 PMC: 7818317. DOI: 10.2337/dc20-1463.


Individual participant data meta-analysis of intervention studies with time-to-event outcomes: A review of the methodology and an applied example.

de Jong V, Moons K, Riley R, Tudur Smith C, Marson A, Eijkemans M Res Synth Methods. 2019; 11(2):148-168.

PMID: 31759339 PMC: 7079159. DOI: 10.1002/jrsm.1384.


A two-step method for variable selection in the analysis of a case-cohort study.

Newcombe P, Connolly S, Seaman S, Richardson S, Sharp S Int J Epidemiol. 2017; 47(2):597-604.

PMID: 29136145 PMC: 5913627. DOI: 10.1093/ije/dyx224.

References
1.
Kulathinal S, Karvanen J, Saarela O, Kuulasmaa K . Case-cohort design in practice - experiences from the MORGAM Project. Epidemiol Perspect Innov. 2007; 4:15. PMC: 2216006. DOI: 10.1186/1742-5573-4-15. View

2.
Sanderson J, Thompson S, White I, Aspelund T, Pennells L . Derivation and assessment of risk prediction models using case-cohort data. BMC Med Res Methodol. 2013; 13:113. PMC: 3848813. DOI: 10.1186/1471-2288-13-113. View

3.
Barlow W . Robust variance estimation for the case-cohort design. Biometrics. 1994; 50(4):1064-72. View

4.
Burgess S, White I, Resche-Rigon M, Wood A . Combining multiple imputation and meta-analysis with individual participant data. Stat Med. 2013; 32(26):4499-514. PMC: 3963448. DOI: 10.1002/sim.5844. View

5.
Danesh J, Saracci R, Berglund G, Feskens E, Overvad K, Panico S . EPIC-Heart: the cardiovascular component of a prospective study of nutritional, lifestyle and biological factors in 520,000 middle-aged participants from 10 European countries. Eur J Epidemiol. 2007; 22(2):129-41. DOI: 10.1007/s10654-006-9096-8. View