生存时间数据分析
函数
对象
CoxModel | Cox proportional hazards model (自 R2021a 起) |
主题
- What Is Survival Analysis?
Learn about censoring, survival data, and the survivor and hazard functions.
- Survivor Functions for Two Groups
Find the empirical survivor functions and the parametric survivor functions using the Burr type XII distribution fit on data for two groups.
- Hazard and Survivor Functions for Different Groups
Estimate and plot the cumulative hazard and survivor functions for different groups.
- Kaplan-Meier Method
Estimate the empirical hazard, survivor, and cumulative distribution functions.
- Cox Proportional Hazards Model
Adjust survival rate estimates to quantify the effect of predictor variables.
- Cox Proportional Hazards Model Object
Create data for a Cox model with three stratification levels, then fit and analyze the resulting model.
- Cox Proportional Hazards Model for Censored Data
Create a Cox proportional hazards model, and assess the significance of the predictor variables.
- Cox Proportional Hazards Model with Time-Dependent Covariates
Convert survival data to counting process form, and then construct a Cox proportional hazards model with time-dependent covariates.
- Analyzing Survival or Reliability Data
Analyze lifetime data with censoring by modeling the time to failure of a throttle from an automobile fuel injection system.