Software, websites & apps
The following are software packages, apps and websites dedicated specifically to prognosis research.
Many generic (e.g. regression model or machine learning) packages can also be used to undertake prognosis research
The list is in development, and certainly not exhaustive.
Please get in touch to provide more recommendations to add.
PM suite of modules produced by Dr Joie Ensor:
stcoxcal: a Stata package for examining the calibration performance of a survival model at particular time-point(s)
bsvalidation: a Stata package for bootstrap internal validation command for predictive logistic regression models
A web app by Mike Kattan for calculating Riley et al.'s sample size required for developing clinical prediction models
Visit decisioncurveanalysis.org for software, data sets, tutorials etc. on net benefit & decision curves
BMJ series (forthcoming) on validation by Riley, Collins et al .... software code as follows:
- Paper 1: R code for validation of the CRASH model is here
- Paper 3: Stata code for the sample size for external validation of the continuous and binary outcomes is given
in the paper: more generally, see pmvalsampsize)
Various researchers have GitHub pages offering code for prognosis and prediction research, including:
- Gary Collins: see here
- Glen Martin: see here
- Hisashi Noma: see here
- Valentijn de Jong: see here
- Karandeep Singh & others: see here
- Daniele Giardiello: see here