Softwares

mlad - maximizing likelihood functions using automatic differentiation

mlad maximizes a log-likelihood function where the log-likelihood function is programmed in Python. This enables the gradients and Hessian matrix to be obtained using automatic differentiation and makes better use of multiple CPUs.

Using mlad for splines on the log hazard scale - with pysetup.

mlad

Using mlad for splines on the log hazard scale.

mlad

Using mlad for interval censored data

mlad

Introduction to mlad - a Weibull survival model

mlad

Standardized Crude Probabilities of Death

stpm2

Direct modelling of marginal relative survival models

stpm2

External age standardization in marginal relative survival models

stpm2

Modelling covariates in marginal relative survival models

stpm2

mrsprep

The mrsprep command restructures survival data and calculates weighted mean expected mortality rates and time-dependent weights so that a marginal relative survival can be directly estimated. After running mrsprep estimation commands that fit (conditional) relative survival models (e.