JAXA Repository / AIREX 未来へ続く、宙(そら)への英知
titleフリーソフトRを活用した生存データ解析 (総合報告)
Other TitleSurvival Data Analysis Using R
Author(jpn)辻谷, 将明; 田中, 祐輔
Author(eng)Tsujitani, Masaaki; Tanaka, Yusuke
Author Affiliation(jpn)大阪電気通信大学; イーピーエス株式会社
Author Affiliation(eng)Osaka Electro-Communication University; EPS Corporation
Issue Date2013-07-31
Osaka Electro-Communication University
Publication title大阪電気通信大学研究論集: 自然科学編
Memoirs of Osaka Electro-Communication University: Natural Science
Start page49
End page83
Publication date2013-07-31
AbstractThe Cox's proportional hazards model has been widely used for the analysis of treatment and prognostic effects with censored survival data. The model was developed based on the hazard function for an individual as a fixed-time covariates. When the covariates values change for the duration of the study, however, a number of theoretical problems that are to be solved with respect to the baseline survival function and the baseline cumulative hazard function, are involved. This article presents time-dependent survival data analysis using R which may be evaluated for their impact on survival. We consider how these analyses can affect the prediction of patient outcome using multistate model, stratified Cox's proportional hazard model, and competing risk model.
Description形態: カラー図版あり
Physical characteristics: Original contains color illustrations
KeywordsCox 比例ハザードモデル; イベント‐ヒストリー解析; 競合リスク; 層別比例ハザードモデル; 累積発生関数; Cox's proportional hazard model; Event-history analysis; competing risk; stratified proportional hazard model; cumulative incidence function
Document TypeDepartmental Bulletin Paper
NASA Subject CategoryStatistics and Probability

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