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abrahamcow 2024/09/20
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Microsoft PowerPoint - Kaplan-Meier.ppt
abrahamcow 2018/09/22
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#ã¯ã˜ã‚ã« ç”Ÿå˜æ™‚é–“åˆ†æžã«ã¤ã„ã¦å¦ã‚“ã§ã„ãã¨ã€æ§˜ã€…ãªã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãŒã‚ã‚‹ã®ã ãªã¨éžå¸¸ã«æ„Ÿå¿ƒã—ã¦ã„ã¾ã™ã€‚ ã“ã¡ã‚‰ã®ã‚µãƒ¼ãƒ™ã‚¤è«–æ–‡ã§ã¯æ¬¡ã®ã‚ˆã†ã«ã¾ã¨ã‚ã‚‰ã‚Œã¦ã„ã¾ã—ãŸã€‚ https://dmkd.cs.vt.edu/papers/CSUR19.pdf ä»Šå›žã¯ã€ãƒ‘ãƒ©ãƒ¡ãƒˆãƒªãƒƒã‚¯ã®ç”Ÿå˜æ™‚é–“åˆ†æžã‹ã‚‰ãƒ–ãƒ¼ã‚¹ãƒ†ã‚£ãƒ³ã‚°ã«ã‚ˆã‚‹æ‹¡å¼µã—ãŸãƒ¢ãƒ‡ãƒ«ã¾ã§ã®æ§˜ã€…ãªã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã«ã¤ã„ã¦ã‚’ã¾ã¨ã‚ã¾ã™ã€‚ ã¾ãŸã€Rã§ã®åˆ©ç”¨æ–¹æ³•ã‚‚ã¾ã¨ã‚ã¾ã—ãŸã€‚ â€»ç´°éƒ¨ã¯çµæ§‹é›‘ã§ã™ã€‚ä¸é€”åŠç«¯ãªéƒ¨åˆ†ã¯åŠ ç†ã—ã¦ã„ãã¾ã™ã€‚ ç”Ÿå˜æ™‚é–“åˆ†æž ç”Ÿå˜æ™‚é–“åˆ†æžã¨ã¯ã€ã‚¤ãƒ™ãƒ³ãƒˆãŒç™ºç”Ÿã™ã‚‹ã¾ã§ã®æ™‚é–“ã¨ã‚¤ãƒ™ãƒ³ãƒˆã¨ã®é–“ã®é–¢ä¿‚ã«ç€ç›®ã—ãŸåˆ†æžã§ã™ã€‚ ä¾‹ãˆã°ã€ã‚µãƒ¼ãƒ“ã‚¹ã®ãƒ¦ãƒ¼ã‚¶ãƒ¼ã®é›¢è„±ã‚„ã€æŠ•è–¬å¾Œã®æ‚£è€…ã®æ»äº¡ã®ç™ºç”Ÿã€æ©Ÿæ¢°ã®æ•…éšœã®ç™ºç”Ÿã¨ã„ã£ãŸã‚‚ã®ã§æ‰±ã‚ã‚Œã¾ã™ã€‚ ##ç”Ÿå˜é–¢æ•°ã¨ãƒã‚¶ãƒ¼ãƒ‰é–¢æ•° ç”Ÿå˜æ™‚é–“$t$ã‚’ç¢ºçŽ‡å¤‰æ•°ã¨ã—ãŸã€ç¢ºçŽ‡å¯†åº¦é–¢æ•°$f(t)$ã‚’æ¬¡ã®ã‚ˆã†ã«è¡¨ã™ã€‚
abrahamcow 2018/08/08
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High-dimensional variable selection for Coxâ€™s proportional hazards model
abrahamcow 2018/05/29
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Greenwoodâ€™s formula D.A. Freedman Greenwoodâ€™s formula puts a standard error on the Kaplan-Meier estimator using the delta- method. At any particular time t with a failure, let Nt be the number of subjects on test â€œat time tâˆ’,â€ that is, just before time t. The probability of surviving from tâˆ’ to t+ is estimated as Xt /Nt , where Xt is the number who survive from tâˆ’ to t+. The Kaplan-Meir estimator
abrahamcow 2017/12/26
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https://www.tandfonline.com/doi/abs/10.1080/03610928408828780?journalCode=lsta20
abrahamcow 2017/11/26
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ç”Ÿå˜æ›²ç·šã®ä½œæˆãŒå¤§å¤‰ç°¡å˜ãªãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã®ç´¹ä»‹ã§ã™ã€‚Log-rankæ¤œå®šã®çµæžœã‚„ç”Ÿå˜æ•°ã®ãƒ†ãƒ¼ãƒ–ãƒ«ãªã©ã®åŒæ™‚ãƒ—ãƒãƒƒãƒˆãŒå¯èƒ½ã§ã™ã€‚éžå¸¸ã«ç°¡å˜ã§è¦‹æ „ãˆã®è‰¯ã„ã‚°ãƒ©ãƒ•ãŒä½œæˆå¯èƒ½ã§ã™ã€‚ ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã¯0.4.9ã€‚å®Ÿè¡Œã‚³ãƒžãƒ³ãƒ‰ã¯windows 11ã®R version 4.1.2ã§å‹•ä½œã‚’ç¢ºèªã—ã¦ã„ã¾ã™ã€‚ ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ä¸‹è¨˜ã‚³ãƒžãƒ³ãƒ‰ã‚’å®Ÿè¡Œã—ã¦ãã ã•ã„ã€‚ #ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ« install.packages("survminer") ã‚³ãƒžãƒ³ãƒ‰ã®ç´¹ä»‹è©³ç´°ã¯ã‚³ãƒžãƒ³ãƒ‰ã€ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã®ãƒ˜ãƒ«ãƒ—ã‚’ç¢ºèªã—ã¦ãã ã•ã„ã€‚ #ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã®èªã¿è¾¼ã¿ library("survminer") ###ãƒ‡ãƒ¼ã‚¿ä¾‹ã®ä½œæˆ##### #Status:0=alive,1=deadã‚’ç¤ºã™ #è‡ªèº«ã®ãƒ‡ãƒ¼ã‚¿ã‚‚ç”Ÿå˜ã€æ»äº¡ã‚’æ•°å—ã«å¤‰æ›ã—ã¦ãã ã•ã„ n <- 150 set.seed(1234) TestData <- data.fr
abrahamcow 2017/11/11
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https://www.jstor.org/stable/3085901?seq=1
abrahamcow 2017/10/17
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Penalized Survival Models and Frailty on JSTOR
abrahamcow 2017/10/16
Penalized Survival Models and Frailty

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Data Exploration & Machine Learning, Hands-on
abrahamcow 2017/09/26
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Censoring in Clinical Trials: Review of Survival Analysis Techniques
abrahamcow 2017/07/26
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ç”Ÿå˜æ›²ç·šä¸‹é¢ç©RMST(Restricted mean survival time)ï½žæ¯”ä¾‹ãƒã‚¶ãƒ¼ãƒ‰æ€§ãŒä»®å®šã§ããªã„ç”Ÿå˜æ›²ç·šã§ã®ä»£æ›¿æ‰‹æ³• - r-statistics-fanã®æ—¥è¨˜
ç”Ÿå˜æ›²ç·šä¸‹é¢ç©RMST(Restricted mean survival time)ã¨ã„ã†ã®ã‚’èžã„ãŸã€‚ è«–æ–‡ã®å¤šãã¯ç”°èˆŽç—…é™¢ã§ã¯å…¥æ‰‹ã§ããªã‹ã£ãŸãŒã€ä¸‹è¨˜ã¯èªã‚ãŸã€‚ Royston, P. & Parmar, M.K., 2013. Restricted mean survival time: an alternative to the hazard ratio for the design and analysis of randomized trials with a time-to-event outcome. BMC medical research methodology, 13(1), p.152. Uno, H.ä»–, 2014. Moving Beyond the Hazard Ratio in Quantifying the Between-Group Difference
abrahamcow 2017/06/17
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Survival Analysis
Survival Analysis Techniques for Censored and Truncated Data Textbook Â© 2003 Latest edition Overview Authors: John P. Klein 0, Melvin L. Moeschberger 1 John P. Klein Division of Biostatistics, Medical College of Wisconsin, Milwaukee, USA
abrahamcow 2017/05/29
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Efficiency of Two Sample Tests via the t-Mean Survival Time for Analyzing Event Time Observations
Abstract In comparing two treatments with the event time observations, the hazard ratio (HR) estimate is routinely used to quantify the treatment difference. However, this model dependent estimate may be difficult to interpret clinically especially when the proportional hazards (PH) assumption is violated. An alternative estimation procedure for treatment efficacy based on the restricted means sur
abrahamcow 2017/05/12
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Lectures on survival analysis
abrahamcow 2017/05/11
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Dynamic Bayesian Models for Survival Data on JSTOR
abrahamcow 2017/05/07
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Example 35.10: Grouped Survival Data
abrahamcow 2017/05/07
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Survival Analysis with R | R-bloggers
abrahamcow 2017/05/05
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https://cran.r-project.org/web/packages/coxme/vignettes/laplace.pdf
abrahamcow 2017/04/26
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flexsurv: A Platform for Parametric Survival Modeling in R | Journal of Statistical Software
abrahamcow 2017/04/24
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