Pinned Repositories
causalPAF
Causal Effect for Population Attributable Fractions
dagitty
Graphical analysis of structural causal models / graphical causal models.
graphPAF
med4way
Stata command for the 4-way decomposition using parametric regression models
Metabolomics_frailty
Unraveling the metabolic underpinnings of frailty using multicohort observational and Mendelian randomization analyses
msm
The msm R package for continuous-time multi-state modelling of panel data
msmtools
msmtools introduces a fast and general method for restructuring classical longitudinal datasets into augmented ones.
mstate
UKB_bioage_cancer
Clinical biomarker-based biological aging and risk of cancer in the UK Biobank
ukbfrailty
Calculation of a frailty index for UK Biobank participants
becomingcc's Repositories
becomingcc/Metabolomics_frailty
Unraveling the metabolic underpinnings of frailty using multicohort observational and Mendelian randomization analyses
becomingcc/msm
The msm R package for continuous-time multi-state modelling of panel data
becomingcc/UKB_bioage_cancer
Clinical biomarker-based biological aging and risk of cancer in the UK Biobank
becomingcc/ukbfrailty
Calculation of a frailty index for UK Biobank participants
becomingcc/causalPAF
Causal Effect for Population Attributable Fractions
becomingcc/dagitty
Graphical analysis of structural causal models / graphical causal models.
becomingcc/graphPAF
becomingcc/med4way
Stata command for the 4-way decomposition using parametric regression models
becomingcc/msmtools
msmtools introduces a fast and general method for restructuring classical longitudinal datasets into augmented ones.
becomingcc/mstate
becomingcc/multistate
multistate provides a general framework for flexible parametric modelling of arbitrary multi-state survival models in Stata
becomingcc/pifpaf
`R` package for estimating the potential impact fraction and the population attributable fraction for cross-sectional data.
becomingcc/PRS-Tutorial
A tutorial on how to run basic polygenic risk score analysis
becomingcc/ukb-a1c-cvd
becomingcc/UKB-paper3-supplementarydata
Supplementary data and materials for UKB paper 3