2024-03-29T06:52:24Z
https://niigata-u.repo.nii.ac.jp/oai
oai:niigata-u.repo.nii.ac.jp:00015464
2022-12-15T03:47:13Z
453:456
471:537:538:1087
An Alternative Statistical Method to Evaluate the Treatment Effect in Randomized Clinical Trials
医療統計学を用いた新しい治療効果判定法の開発
医療統計学を用いた新しい治療効果判定法の開発
赤澤, 宏平
99085
randomized clinical trial
sruvival time
treatment effect
Cox regression method
piecewise linear hazard model
無作為化臨床試験
生存時間
治療効果
Cox回帰法
折れ線ハザードモデル
This paper evaluates the loss of power of the simple and stratified logrank tests due to heterogeneity of patients in clinical trials. The results of the paper are based on the analyses of survival data from a large clinical trial which includes more than 6,000 cancer patients. Major findings from the simulation study on power are : (1) for a heterogeneous sample, such as advanced cancer patients, a simple logrank test can yield misleading results and should not be used;(2)the stratified logrank test may suffer some power loss when many prognostic factors need to be considered and the number of patients within stratum is small. To address the problems, due to heterogeneity, the Cox regression method with a piecewise linear hazard model is recommended.
departmental bulletin paper
新潟医学会
2000-05
application/pdf
新潟医学会雑誌
5
114
179
185
新潟医学会雑誌
AN00182415
00290440
https://niigata-u.repo.nii.ac.jp/record/15464/files/114(5)_179-185.pdf
jpn