Literature DB >> 24889145

Sample size/power calculation for stratified case-cohort design.

Wenrong Hu1, Jianwen Cai, Donglin Zeng.   

Abstract

The case-cohort (CC) study design usually has been used for risk factor assessment in epidemiologic studies or disease prevention trials for rare diseases. The sample size/power calculation for a stratified CC (SCC) design has not been addressed before. This article derives such result based on a stratified test statistic. Simulation studies show that the proposed test for the SCC design utilizing small sub-cohort sampling fractions is valid and efficient for situations where the disease rate is low. Furthermore, optimization of sampling in the SCC design is discussed and compared with proportional and balanced sampling techniques. An epidemiological study is provided to illustrate the sample size calculation under the SCC design.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  case-cohort design; power calculation; sample size; sampling technique; stratified case-cohort design

Mesh:

Year:  2014        PMID: 24889145      PMCID: PMC4159408          DOI: 10.1002/sim.6215

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  15 in total

1.  Analysis of case-cohort designs.

Authors:  W E Barlow; L Ichikawa; D Rosner; S Izumi
Journal:  J Clin Epidemiol       Date:  1999-12       Impact factor: 6.437

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Authors:  D A Savitz; J Cai; E van Wijngaarden; D Loomis; G Mihlan; V Dufort; R C Kleckner; L Nylander-French; H Kromhout; H Zhou
Journal:  Am J Ind Med       Date:  2000-10       Impact factor: 2.214

3.  Sample size/power calculation for case-cohort studies.

Authors:  Jianwen Cai; Donglin Zeng
Journal:  Biometrics       Date:  2004-12       Impact factor: 2.571

4.  Marginal hazards regression for retrospective studies within cohort with possibly correlated failure time data.

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5.  Breast cancer after multiple chest fluoroscopies: second follow-up of Massachusetts women with tuberculosis.

Authors:  Z Hrubec; J D Boice; R R Monson; M Rosenstein
Journal:  Cancer Res       Date:  1989-01-01       Impact factor: 12.701

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Authors:  D Liao; J Cai; W D Rosamond; R W Barnes; R G Hutchinson; E A Whitsel; P Rautaharju; G Heiss
Journal:  Am J Epidemiol       Date:  1997-04-15       Impact factor: 4.897

7.  Likelihood analysis of multi-state models for disease incidence and mortality.

Authors:  J D Kalbfleisch; J F Lawless
Journal:  Stat Med       Date:  1988 Jan-Feb       Impact factor: 2.373

8.  Robust variance estimation for the case-cohort design.

Authors:  W E Barlow
Journal:  Biometrics       Date:  1994-12       Impact factor: 2.571

9.  The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators.

Authors: 
Journal:  Am J Epidemiol       Date:  1989-04       Impact factor: 4.897

10.  Case-cohort design in practice - experiences from the MORGAM Project.

Authors:  Sangita Kulathinal; Juha Karvanen; Olli Saarela; Kari Kuulasmaa
Journal:  Epidemiol Perspect Innov       Date:  2007-12-04
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