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
Chicago
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