Therneau T and Grambsch P (2000), Modeling Survival Data: Extending the Cox Model, Springer-Verlag. Tsiatis, A. (1981). A large sample study of the estimate for the integrated hazard function in Cox's regression model for survival data. Annals of Statistics 9, 93-108. 也可以看看 print...
R语言:利用survminer包实现生存分析及可视化总述下载和安装单一组别生存曲线的绘制两组生存曲线的绘制基本方法改变文字大小,字体和颜色只改变字号同时改变文字大小,字体和颜色改变图例位置,图例标题和图例名称改变曲线类型和颜色添加风险表扩大x轴的坐标范围Transform survival curves累积发病率图危险率函数Arbitrary function多组...
Kyle, R. A. (1997). Moncolonal gammopathy of undetermined significance and solitary plasmacytoma. Implications for progression to overt multiple myeloma}, Hematology/Oncology Clinics N. Amer. 11, 71-87. Link, C. L. (1984). Confidence intervals for the survival function using Cox's proportional...
忽略R中survfit函数中缺少的(空)变量值在survivalsurvfit函数中，未绘制缺失值（参见第一个图）。此函...
问将survfit()应用于生存对象列表EN#include <iostream> using namespace std; class A { private: ...
Become an expert in R— Interactive courses, Cheat Sheets, certificates and more! Get Started for Free Dismiss Documentation R gtsummary tbl_survfittbl_survfit Creates table of survival probabilities Description Function takes a survfit object as an argument, and provides a formatted summary ...
Other arguments to be passed to theplotfunction which draws the fitted curve, or thelines.survfitfunction which draws the empirical curve. Details If the data represent observations of the process at arbitrary times, then the first occurrence of the absorbing state in the data will usually be ...
Instantaneous hazard computed on the basis of a Kaplan-Meier survival function In a comparative, longitudinal clinical study, often the primary endpoint is the time to a specific clinical event, such as death, heart failure hospitalization, tumor progression, and so on. The hazard ratio estimate ...
7 changes: 4 additions & 3 deletions 7 R/survfit.R Original file line numberDiff line numberDiff line change @@ -95,7 +95,8 @@ dim.survfit <- function(x) { if (!is.null(x[[k]])) newx[[k]] <- (x[[k]])[indx1] k <- cbind(indx1, indx2) for (j in c("surv"...
Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R packageflexsurv) and a Bayesian perspective. For a selected range of models, bo...