Approaches for calculating power for case-cohort studies

Details

• Personal Author:
  Du Y ; Kim MY ; Xue X ; Du Y ; Kim MY ; Xue X
• Description:
  An approach for determining the power of a case-cohort study for a single binary exposure variable and a low failure rate was recently proposed by Cai and Zeng (2004, Biometrics 60, 1015-1024). In this article, we show that computing power for a case-cohort study using a standard case-control method yields nearly identical levels of power. An advantage of the case-control approach is that existing sample size software can be used for the calculations. We also propose an additional formula for computing the power of a case-cohort study for the situation when the event is not rare. [Description provided by NIOSH]
• Subjects:
  Carcinogens Environmental Exposure Epidemiology Mass Behavior Men Occupational Health Radiation Risk Assessment Risk Factors Safety Women

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• Keywords:
  Analytical-models Author Keywords: Case-cohort Design Environmental-exposure Exposure-levels Exposure-limits Group-dynamics Humans Mathematical-models Models Molecular-biology Power Radiation-exposure Risk-factors Sample Size Statistical-analysis

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• ISSN:
  0006-341X
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article ; Journal Article
• Place as Subject:
  New York ; OSHA Region 2
• CIO:
  National Institute for Occupational Safety and Health (NIOSH) ; National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health ; Workplace Safety & Health
• Location:
  North America ; North America
• Volume:
  62
• Issue:
  3
• NIOSHTIC Number:
  nn:20040340
• Citation:
  Biometrics 2006 Sep; 62(3):929-933
• Contact Point Address:
  Mimi Y. Kim, Division of Biostatistics, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York 10461
• Email:
  mikim@aecom.yu.edu
• Federal Fiscal Year:
  2006
• Performing Organization:
  Albert Einstein College of Medicine
• Peer Reviewed:
  True
• Start Date:
  20040901
• Source Full Name:
  Biometrics
• End Date:
  20081231
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:43a4d50898793684ce1bf958a8a1b7b12c9370187cf1d9995fc04c9dc11c5d3eacedc067506b3776d1617126f63ea907e5b361a01b9235f61508bc70374a516a
• Download URL:
  https://stacks.cdc.gov/view/cdc/193254/cdc_193254_DS1.pdf
• File Type:
  [PDF - 193.75 KB ]