pcsstools - Tools for Regression Using Pre-Computed Summary Statistics
Defines functions to describe regression models using only pre-computed summary statistics (i.e. means, variances, and covariances) in place of individual participant data. Possible models include linear models for linear combinations, products, and logical combinations of phenotypes. Implements methods presented in Wolf et al. (2021) <doi:10.3389/fgene.2021.745901> Wolf et al. (2020) <doi:10.1142/9789811215636_0063> and Gasdaska et al. (2019) <doi:10.1142/9789813279827_0036>.
Last updated 4 months ago
gwasstatistical-genetics
3.40 score 5 stars 5 scripts 135 downloadstehtuner - Fit and Tune Models to Detect Treatment Effect Heterogeneity
Implements methods to fit Virtual Twins models (Foster et al. (2011) <doi:10.1002/sim.4322>) for identifying subgroups with differential effects in the context of clinical trials while controlling the probability of falsely detecting a differential effect when the conditional average treatment effect is uniform across the study population using parameter selection methods proposed in Wolf et al. (2022) <doi:10.1177/17407745221095855>.
Last updated 1 years ago
clinical-trialsheterogeneity-of-treatment-effectsubgroup-identification
3.30 score 4 stars 6 scripts 141 downloads