TY - JOUR
T1 - Sample size calculations for testing equivalence of two exponential distributions with right censoring allocation with costs
AU - Guo, Jiin Huarng
AU - Luh, Wei Ming
N1 - Funding Information:
The research was supported by National Science Council grants, Taiwan, NSC101-2410-H-153-001 to Jiin-Huarng Guo and NSC101-2410-H-006-053-MY3 to Wei-Ming Luh.
PY - 2017/10
Y1 - 2017/10
N2 - The present study considered two independent exponential distributions with the hypothesis for testing equivalence of lifetime means or failure rates, and aimed to determine the required uncensored sample size based on power, sampling cost, and censoring proportion simultaneously in the case of right censoring. Approximate sample size formulas with an iterative procedure were proposed and an uncensored sample size allocation ratio was derived to minimize the total cost for a designated power or maximize statistical power for a limit cost. R codes are provided for easy application. The proposed methods are validated in terms of Type I errors and statistical power in a simulation study, and are recommended for the future use.
AB - The present study considered two independent exponential distributions with the hypothesis for testing equivalence of lifetime means or failure rates, and aimed to determine the required uncensored sample size based on power, sampling cost, and censoring proportion simultaneously in the case of right censoring. Approximate sample size formulas with an iterative procedure were proposed and an uncensored sample size allocation ratio was derived to minimize the total cost for a designated power or maximize statistical power for a limit cost. R codes are provided for easy application. The proposed methods are validated in terms of Type I errors and statistical power in a simulation study, and are recommended for the future use.
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U2 - 10.1027/1614-2241/a000139
DO - 10.1027/1614-2241/a000139
M3 - Article
AN - SCOPUS:85037029485
SN - 1614-1881
VL - 13
SP - 144
EP - 156
JO - Methodology
JF - Methodology
IS - 4
ER -