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Sample size determination for jointly testing a cause-specific hazard and the all-cause hazard in the presence of competing risks.

Publication ,  Journal Article
Yang, Q; Fung, WK; Li, G
Published in: Statistics in medicine
April 2018

This article considers sample size determination for jointly testing a cause-specific hazard and the all-cause hazard for competing risks data. The cause-specific hazard and the all-cause hazard jointly characterize important study end points such as the disease-specific survival and overall survival, which are commonly used as coprimary end points in clinical trials. Specifically, we derive sample size calculation methods for 2-group comparisons based on an asymptotic chi-square joint test and a maximum joint test of the aforementioned quantities, taking into account censoring due to lost to follow-up as well as staggered entry and administrative censoring. We illustrate the application of the proposed methods using the Die Deutsche Diabetes Dialyse Studies clinical trial. An R package "powerCompRisk" has been developed and made available at the CRAN R library.

Duke Scholars

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Published In

Statistics in medicine

DOI

EISSN

1097-0258

ISSN

0277-6715

Publication Date

April 2018

Volume

37

Issue

8

Start / End Page

1389 / 1401

Related Subject Headings

  • Statistics & Probability
  • Sample Size
  • Risk Assessment
  • Renal Dialysis
  • Proportional Hazards Models
  • Humans
  • Diabetes Mellitus
  • Computer Simulation
  • Clinical Trials as Topic
  • Causality
 

Citation

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Yang, Q., Fung, W. K., & Li, G. (2018). Sample size determination for jointly testing a cause-specific hazard and the all-cause hazard in the presence of competing risks. Statistics in Medicine, 37(8), 1389–1401. https://doi.org/10.1002/sim.7590
Yang, Qing, Wing K. Fung, and Gang Li. “Sample size determination for jointly testing a cause-specific hazard and the all-cause hazard in the presence of competing risks.Statistics in Medicine 37, no. 8 (April 2018): 1389–1401. https://doi.org/10.1002/sim.7590.
Yang, Qing, et al. “Sample size determination for jointly testing a cause-specific hazard and the all-cause hazard in the presence of competing risks.Statistics in Medicine, vol. 37, no. 8, Apr. 2018, pp. 1389–401. Epmc, doi:10.1002/sim.7590.
Journal cover image

Published In

Statistics in medicine

DOI

EISSN

1097-0258

ISSN

0277-6715

Publication Date

April 2018

Volume

37

Issue

8

Start / End Page

1389 / 1401

Related Subject Headings

  • Statistics & Probability
  • Sample Size
  • Risk Assessment
  • Renal Dialysis
  • Proportional Hazards Models
  • Humans
  • Diabetes Mellitus
  • Computer Simulation
  • Clinical Trials as Topic
  • Causality