Literature DB >> 10763560

Exposure stratified case-cohort designs.

O Borgan1, B Langholz, S O Samuelsen, L Goldstein, J Pogoda.   

Abstract

A variant of the case-cohort design is proposed for the situation in which a correlate of the exposure (or prognostic factor) of interest is available for all cohort members, and exposure information is to be collected for a case-cohort sample. The cohort is stratified according to the correlate, and the subcohort is selected by stratified random sampling. A number of possible methods for the analysis of such exposure stratified case-cohort samples are presented, some of their statistical properties developed, and approximate relative efficiency and optimal allocation to the strata discussed. The methods are compared to each other, and to randomly sampled case-cohort studies, in a limited computer simulation study. We found that all of the proposed analysis methods performed well and were more efficient than a randomly sampled case-cohort study.

Mesh:

Year:  2000        PMID: 10763560     DOI: 10.1023/a:1009661900674

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN: 1380-7870            Impact factor:   1.588


  4 in total

1.  Computing the Cox model for case cohort designs.

Authors:  T M Therneau; H Li
Journal:  Lifetime Data Anal       Date:  1999-06       Impact factor: 1.588

2.  Efficiency of cohort sampling designs: some surprising results.

Authors:  B Langholz; D C Thomas
Journal:  Biometrics       Date:  1991-12       Impact factor: 2.571

3.  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

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

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

  4 in total
  123 in total

1.  Influence function based variance estimation and missing data issues in case-cohort studies.

Authors:  S D Mark; H Katki
Journal:  Lifetime Data Anal       Date:  2001-12       Impact factor: 1.588

2.  Risk prediction measures for case-cohort and nested case-control designs: an application to cardiovascular disease.

Authors:  Andrea Ganna; Marie Reilly; Ulf de Faire; Nancy Pedersen; Patrik Magnusson; Erik Ingelsson
Journal:  Am J Epidemiol       Date:  2012-03-06       Impact factor: 4.897

3.  Association Between Results of a Gene Expression Signature Assay and Recurrence-Free Interval in Patients With Stage II Colon Cancer in Cancer and Leukemia Group B 9581 (Alliance).

Authors:  Donna Niedzwiecki; Wendy L Frankel; Alan P Venook; Xing Ye; Paula N Friedman; Richard M Goldberg; Robert J Mayer; Thomas Anthony Colacchio; Jude Marie Mulligan; Timothy S Davison; Eamonn O'Brien; Peter Kerr; Patrick G Johnston; Richard D Kennedy; D Paul Harkin; Richard L Schilsky; Monica M Bertagnolli; Robert S Warren; Federico Innocenti
Journal:  J Clin Oncol       Date:  2016-07-18       Impact factor: 44.544

4.  Comparison of lifestyle-based and traditional cardiovascular disease prediction in a multiethnic cohort of nonsmoking women.

Authors:  Nina P Paynter; Michael J LaMonte; JoAnn E Manson; Lisa W Martin; Lawrence S Phillips; Paul M Ridker; Jennifer G Robinson; Nancy R Cook
Journal:  Circulation       Date:  2014-08-25       Impact factor: 29.690

5.  Reproductive history, occupational exposures, and thyroid cancer risk among women textile workers in Shanghai, China.

Authors:  E Y Wong; R Ray; D L Gao; K J Wernli; W Li; E D Fitzgibbons; Z Feng; D B Thomas; H Checkoway
Journal:  Int Arch Occup Environ Health       Date:  2005-10-12       Impact factor: 3.015

6.  A hybrid Newton-type method for censored survival data using double weights in linear models.

Authors:  Menggang Yu; Bin Nan
Journal:  Lifetime Data Anal       Date:  2006-08-18       Impact factor: 1.588

Review 7.  Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies.

Authors:  Chirag J Patel; Jacqueline Kerr; Duncan C Thomas; Bhramar Mukherjee; Beate Ritz; Nilanjan Chatterjee; Marta Jankowska; Juliette Madan; Margaret R Karagas; Kimberly A McAllister; Leah E Mechanic; M Daniele Fallin; Christine Ladd-Acosta; Ian A Blair; Susan L Teitelbaum; Christopher I Amos
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-07-14       Impact factor: 4.254

8.  Occupational exposure to magnetic fields and breast cancer among women textile workers in Shanghai, China.

Authors:  Wenjin Li; Roberta M Ray; David B Thomas; Michael Yost; Scott Davis; Norman Breslow; Dao Li Gao; E Dawn Fitzgibbons; Janice E Camp; Eva Wong; Karen J Wernli; Harvey Checkoway
Journal:  Am J Epidemiol       Date:  2013-09-15       Impact factor: 4.897

9.  Estimation and Inference of Quantile Regression for Survival Data Under Biased Sampling.

Authors:  Gongjun Xu; Tony Sit; Lan Wang; Chiung-Yu Huang
Journal:  J Am Stat Assoc       Date:  2017-06-29       Impact factor: 5.033

10.  Reproductive factors and risk of lung cancer in female textile workers in Shanghai, China.

Authors:  Lisa G Gallagher; Karin A Rosenblatt; Roberta M Ray; Wenjin Li; Dao L Gao; Katie M Applebaum; Harvey Checkoway; David B Thomas
Journal:  Cancer Causes Control       Date:  2013-04-13       Impact factor: 2.506

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.