outstandR - Model-Based Standardisation for Indirect Treatment Comparison with Limited Subject-Level Data
For the problem of indirect treatment comparison with limited subject-level data, this package provides tools for model-based standardisation with several different computation approaches. See Remiro‐Azócar A, Heath A, Baio G (2022) ``Parametric G‐computation for compatible indirect treatment comparisons with limited individual patient data'', Res. Synth. Methods, 1–31. ISSN 1759-2879, <doi:10.1002/jrsm.1565>.
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bayesian-inferencepopulation-adjustment
6.13 score 9 stars 259 downloadsmultimcm - Bayesian Relative Mixture Cure Modelling
Jointly models two event time distributions (e.g. time to disease progression and time to death) within a Bayesian relative survival mixture cure model framework, using the "Stan" engine called from 'R'. It extends current methods to account for the dependence between event times to leverage additional information to make better inferences and decisions.
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cure-modelhierarchical-modelsstan
2.41 score 2 stars 13 scriptssimcovariates - Simulate Covariates from Summary Statistics
Simulate covariates from summary statistics.
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1.74 score 11 scripts