This vignette of examples supplements the main flexsurv user guide. Keywords:˜survival. 1. Examples of custom distributions 1.1. Proportional hazards generalized gamma model Crowther and Lambert (2013) discuss using the stgenreg Stata package to construct a pro-portional hazards parameterisation of the three-parameter generalised gamma distribution. A similar trick can be used in flexsurv. A four-parameter custom distribution is created by defining its hazard (and cumulative hazard) functions. These are obtained by multiplying the built-in functions hgengamma and Hgengamma by an extra dummy parameter, which is used as the location parameter of the new distribution. The intercept of this parameter is fixed at 1 when calling flexsurvreg, so t...
In analysis of censored survival data extensive use is made of models, in particular the Cox model, ...
Background: Parametric modelling of survival data is important and reimbursement decisions may depen...
We introduce a general class of continuous univariate distributions with positive support obtained b...
flexsurv is an R package for fully-parametric modeling of survival data. Any parametric time-to-even...
In this paper we present the Stata package stgenreg for the parametric analysis of survival data. An...
In this article, we describe strcs, a user-written command for fitting flexible parametric survival ...
In cancer research, study of the hazard function provides useful insights into disease dynamics, as ...
Description Flexible parametric models for time-to-event data, including the Royston-Parmar spline m...
In cancer research, study of the hazard function provides useful information on the disease dynamic,...
Since its introduction to a wondering public in 1972, the Cox proportional hazards regression model ...
We introduce a general, flexible, parametric survival modelling framework which encompasses key shap...
Royston and Parmar (2002, Statistics in Medicine 21: 2175–2197) developed a class of flexible parame...
This paper introduces a novel model and software package for parametric survival modelling of indivi...
<p><sup>‡</sup> Not pursued by the authors</p><p><i>Abbreviations</i>: ARR (Absolute Risk Reduction)...
Parametric survival models are being increasingly used as an alternative to the Cox model in biomedi...
In analysis of censored survival data extensive use is made of models, in particular the Cox model, ...
Background: Parametric modelling of survival data is important and reimbursement decisions may depen...
We introduce a general class of continuous univariate distributions with positive support obtained b...
flexsurv is an R package for fully-parametric modeling of survival data. Any parametric time-to-even...
In this paper we present the Stata package stgenreg for the parametric analysis of survival data. An...
In this article, we describe strcs, a user-written command for fitting flexible parametric survival ...
In cancer research, study of the hazard function provides useful insights into disease dynamics, as ...
Description Flexible parametric models for time-to-event data, including the Royston-Parmar spline m...
In cancer research, study of the hazard function provides useful information on the disease dynamic,...
Since its introduction to a wondering public in 1972, the Cox proportional hazards regression model ...
We introduce a general, flexible, parametric survival modelling framework which encompasses key shap...
Royston and Parmar (2002, Statistics in Medicine 21: 2175–2197) developed a class of flexible parame...
This paper introduces a novel model and software package for parametric survival modelling of indivi...
<p><sup>‡</sup> Not pursued by the authors</p><p><i>Abbreviations</i>: ARR (Absolute Risk Reduction)...
Parametric survival models are being increasingly used as an alternative to the Cox model in biomedi...
In analysis of censored survival data extensive use is made of models, in particular the Cox model, ...
Background: Parametric modelling of survival data is important and reimbursement decisions may depen...
We introduce a general class of continuous univariate distributions with positive support obtained b...