Flexible Regression Models for Survival Data
Fit additive hazards model
The Bone Marrow Transplant Data
The multicenter AIDS cohort study
Competings Risks Regression
Identifies parametric terms of model
Fit Cox-Aalen survival model
Missing data IPW Cox
Identifies proportional excess terms of model
CSL liver chirrosis data
Model validation based on cumulative residuals
The Diabetic Retinopathy Data
Fit time-varying regression model
Event history object
EventSplit (SurvSplit).
Fit Generalized Semiparametric Proportional 0dds Model
For internal use
Fits Krylow based PLS for additive hazards model
Melanoma data and Danish population mortality by age and sex
The Melanoma Survival Data
my version of the PBC data of the survival package
Make predictions of predict functions in rows mononotone
Fits Proportional excess hazards model with fixed offsets
Plots estimates and test-processes
Plots cumulative residuals
Plots estimates and test-processes
Predictions for Survival and Competings Risks Regression for timereg
Set up weights for delayed-entry competing risks data for comp.risk fu...
Prints call
Fits Proportional excess hazards model
Fit Semiparametric Proportional 0dds Model
Fit Semiparametric Proportional 0dds Model for the competing risks sub...
Identifies the multiplicative terms in Cox-Aalen model and proportiona...
Cut a variable
Estimates marginal mean of recurrent events based on two cox models
Estimates marginal mean of recurrent events
Residual mean life (restricted)
Estimates restricted residual mean for Cox or Aalen model
Prints summary statistics
Prints summary statistics for goodness-of-fit tests based on cumulativ...
Fit Cox model with partly timevarying effects.
The TRACE study group of myocardial infarction
Fit Clayton-Oakes-Glidden Two-Stage model
Makes wald test
Programs for Martinussen and Scheike (2006), `Dynamic Regression Models for Survival Data', Springer Verlag. Plus more recent developments. Additive survival model, semiparametric proportional odds model, fast cumulative residuals, excess risk models and more. Flexible competing risks regression including GOF-tests. Two-stage frailty modelling. PLS for the additive risk model. Lasso in the 'ahaz' package.