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Sample size calculation for paired survival data: A simulation method

Publication ,  Journal Article
Jung, SH
Published in: Journal of Statistical Computation and Simulation
January 28, 2008

This paper proposes a sample size calculation method for rank tests for paired two-sample survival data using simulation method. A paired exponential survival model is specified by the marginal hazard rates and the correlation coefficient. Input variables include type I and II error probabilities, marginal hazard rates under the alternative hypothesis, accrual rate and follow-up period. Using efficient algorithms, our simulation method provides required sample size within minutes. The method is easily extended to sample size calculation for K-sample tests under dependence.

Duke Scholars

Published In

Journal of Statistical Computation and Simulation

DOI

EISSN

1563-5163

ISSN

0094-9655

Publication Date

January 28, 2008

Volume

78

Issue

1

Start / End Page

85 / 92

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 3802 Econometrics
  • 1403 Econometrics
  • 1402 Applied Economics
  • 0104 Statistics
 

Citation

APA
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ICMJE
MLA
NLM
Jung, S. H. (2008). Sample size calculation for paired survival data: A simulation method. Journal of Statistical Computation and Simulation, 78(1), 85–92. https://doi.org/10.1080/10629360600864951
Jung, S. H. “Sample size calculation for paired survival data: A simulation method.” Journal of Statistical Computation and Simulation 78, no. 1 (January 28, 2008): 85–92. https://doi.org/10.1080/10629360600864951.
Jung SH. Sample size calculation for paired survival data: A simulation method. Journal of Statistical Computation and Simulation. 2008 Jan 28;78(1):85–92.
Jung, S. H. “Sample size calculation for paired survival data: A simulation method.” Journal of Statistical Computation and Simulation, vol. 78, no. 1, Jan. 2008, pp. 85–92. Scopus, doi:10.1080/10629360600864951.
Jung SH. Sample size calculation for paired survival data: A simulation method. Journal of Statistical Computation and Simulation. 2008 Jan 28;78(1):85–92.

Published In

Journal of Statistical Computation and Simulation

DOI

EISSN

1563-5163

ISSN

0094-9655

Publication Date

January 28, 2008

Volume

78

Issue

1

Start / End Page

85 / 92

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 3802 Econometrics
  • 1403 Econometrics
  • 1402 Applied Economics
  • 0104 Statistics