coxphfit | Cox proportional hazards regression |
ecdf | Empirical cumulative distribution function |
ecdfhist | Histogram based on empirical cumulative distribution function |
ksdensity | Kernel smoothing function estimate for univariate and bivariate data |
mle | Maximum likelihood estimates |
mlecov | Asymptotic covariance of maximum likelihood estimators |
fitdist | Fit probability distribution object to data |
dfittool | Open Distribution Fitter app |
Learn about censoring, survival data, and the survivor and hazard functions.
Survivor Functions for Two Groups
This example shows how to find the empirical survivor functions and the parametric survivor functions using the Burr type XII distribution fit to data for two groups.
Hazard and Survivor Functions for Different Groups
This example shows how to estimate and plot the cumulative hazard and survivor functions for different groups.
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 for Censored Data
This example shows how to construct a Cox proportional hazards model, and assess the significance of the predictor variables.
Cox Proportional Hazards Model with Time-Dependent Covariates
This example shows how to convert survival data to counting process form and then construct a Cox proportional hazards model with time-dependent covariates.
Analyzing Survival or Reliability Data
This example shows how to analyze lifetime data with censoring.