Literature DB >> 15606422

Sample size/power calculation for case-cohort studies.

Jianwen Cai1, Donglin Zeng.   

Abstract

In epidemiologic studies and disease prevention trials, interest often involves estimation of the relationship between some disease endpoints and individual exposure. In some studies, due to the rarity of the disease and the cost in collecting the exposure information for the entire cohort, a case-cohort design, which consists of a small random sample of the whole cohort and all the diseased subjects, is often used. Previous work has focused on analyzing data from the case-cohort design and few have discussed the sample size issues. In this article, we describe two tests for the case-cohort design, which can be treated as a natural generalization of log-rank test in the full cohort design. We derive an explicit form for power/sample size calculation based on these two tests. A number of simulation studies have been used to illustrate the efficiency of the tests for the case-cohort design. An example is provided on how to use the formula.

Mesh:

Year:  2004        PMID: 15606422     DOI: 10.1111/j.0006-341X.2004.00257.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  40 in total

1.  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

2.  Serum mercury concentration and the risk of ischemic stroke: The REasons for Geographic and Racial Differences in Stroke Trace Element Study.

Authors:  Cheng Chen; Pengcheng Xun; Leslie A McClure; John Brockman; Leslie MacDonald; Mary Cushman; Jianwen Cai; Lisa Kamendulis; Jason Mackey; Ka He
Journal:  Environ Int       Date:  2018-05-05       Impact factor: 9.621

3.  Urinary cadmium concentration and the risk of ischemic stroke.

Authors:  Cheng Chen; Pengcheng Xun; Cari Tsinovoi; Leslie A McClure; John Brockman; Leslie MacDonald; Mary Cushman; Jianwen Cai; Lisa Kamendulis; Jason Mackey; Ka He
Journal:  Neurology       Date:  2018-06-22       Impact factor: 9.910

4.  Plasma 25-Hydroxyvitamin D and the Longitudinal Risk of Sepsis in the REGARDS Cohort.

Authors:  Jordan A Kempker; Bhupesh Panwar; Suzanne E Judd; Nancy S Jenny; Henry E Wang; Orlando M Gutiérrez
Journal:  Clin Infect Dis       Date:  2019-05-17       Impact factor: 9.079

Review 5.  Recent progresses in outcome-dependent sampling with failure time data.

Authors:  Jieli Ding; Tsui-Shan Lu; Jianwen Cai; Haibo Zhou
Journal:  Lifetime Data Anal       Date:  2016-01-13       Impact factor: 1.588

6.  Concurrent Anemia and Elevated C-Reactive Protein Predicts HIV Clinical Treatment Failure, Including Tuberculosis, After Antiretroviral Therapy Initiation.

Authors:  Rupak Shivakoti; Wei-Teng Yang; Nikhil Gupte; Sima Berendes; Alberto La Rosa; Sandra W Cardoso; Noluthando Mwelase; Cecilia Kanyama; Sandy Pillay; Wadzanai Samaneka; Cynthia Riviere; Patcharaphan Sugandhavesa; Brento Santos; Selvamuthu Poongulali; Srikanth Tripathy; Robert C Bollinger; Judith S Currier; Alice M Tang; Richard D Semba; Parul Christian; Thomas B Campbell; Amita Gupta
Journal:  Clin Infect Dis       Date:  2015-03-31       Impact factor: 9.079

7.  Outcome-Dependent Sampling Design and Inference for Cox's Proportional Hazards Model.

Authors:  Jichang Yu; Yanyan Liu; Jianwen Cai; Dale P Sandler; Haibo Zhou
Journal:  J Stat Plan Inference       Date:  2016-05-17       Impact factor: 1.111

8.  Arsenic Exposure in Relation to Ischemic Stroke: The Reasons for Geographic and Racial Differences in Stroke Study.

Authors:  Cari L Tsinovoi; Pengcheng Xun; Leslie A McClure; Vivian M O Carioni; John D Brockman; Jianwen Cai; Eliseo Guallar; Mary Cushman; Frederick W Unverzagt; Virginia J Howard; Ka He
Journal:  Stroke       Date:  2017-12-06       Impact factor: 7.914

9.  Effect of macrophage migration inhibitory factor (MIF) gene variants and MIF serum concentrations on the risk of type 2 diabetes: results from the MONICA/KORA Augsburg Case-Cohort Study, 1984-2002.

Authors:  C Herder; N Klopp; J Baumert; M Müller; N Khuseyinova; C Meisinger; S Martin; T Illig; W Koenig; B Thorand
Journal:  Diabetologia       Date:  2007-08-22       Impact factor: 10.122

10.  Association of Somatic Driver Alterations With Prognosis in Postmenopausal, Hormone Receptor-Positive, HER2-Negative Early Breast Cancer: A Secondary Analysis of the BIG 1-98 Randomized Clinical Trial.

Authors:  Stephen J Luen; Rebecca Asher; Chee Khoon Lee; Peter Savas; Roswitha Kammler; Patrizia Dell'Orto; Olivia Maria Biasi; David Demanse; Lellean JeBailey; Sinead Dolan; Wolfgang Hackl; Beat Thuerlimann; Giuseppe Viale; Marco Colleoni; Meredith M Regan; Sherene Loi
Journal:  JAMA Oncol       Date:  2018-10-01       Impact factor: 31.777

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.