Introduction | Hazard Function | One binary predictor, no interactions | Hazard functions on separate plots | Hazard functions on same plots | ggplot2 version | One binary predictor with interaction | One continuous predictor with interaction | One continuous predictor with interaction and several other predictors | Hazard Ratio | Manson Trial (eprchd) | Save results | Session information

References

Overview | Load Required Packages | European Randomized Study of Prostate Cancer Screening Data | Exposure Stratified Population Time Plot | Plotting the base series | Stem Cell Data | Plotting the follow-up times for each observation | Plot the Case Series | Plot the Base Series | Plot the Competing event | Stratified by Disease | Change color points and legend labels | Veteran Data | Stratified by treatment population time plot | Stanford Heart Transplant Data | NCCTG Lung Cancer Data | Stratified by gender | Simulated Data Example | Simulate the data | Population Time Plot | Stratified by Binary Covariate z | Session information

Data | Population-time plots | Analysis | Absolute risk | Session information | References

Methodological details | Analysis of the veteran dataset | Cumulative Incidence Curves | Session information | References

Setup | Introduction | The .params arguments | Change the Facet Labels | Changing the Plot Aesthetics | Change only the point colors | Change Point Color and Legend Labels | Session information

Introduction | Analysis of the brcancer dataset | Plotting Cumulative Incidence Curves | Using graphics::matplot | Survival Curves | Other families | glmnet | gam | Session information

Model | Installation | Quick Start | Fit the linear mixed model with Lasso Penalty | Find the Optimal Value of the Tuning Parameter | Get Coefficients Corresponding to Optimal Model | Diagnostic Plots | Observed vs. Predicted Response | QQ-plots for Residuals and Random Effects | Tukey-Anscombe Plot

The kinship argument | The U and D arguments | The K argument

Setting the Penalty Factor Argument