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mets
1.3.9
Reference
Articles
dUtility data-frame manipulations
Analysis of multivariate binomial data: family analysis
Analysis of bivariate binomial data: Twin analysis
Average treatment effect (ATE) for Competing risks and binary outcomes
Two-Stage Randomization for for Competing risks and Survival outcomes
Binomial Regression for Survival and Competing Risks Data
Cumulative Incidence Regression
WIP: Cooking survival data, 5 minute recipes
GEE cluster standard errors and predictions for glm objects
Haplotype Discrete Survival Models
Discrete Interval Censored Survival Models
Marginal modelling of clustered survival data
Mediation Analysis for survival data
Randomization for Cox Type rate models
Twin models
Recurrent events
Average treatment effect (ATE) for Restricted mean survival and years lost of Competing risks
G-Computation or standardization for the Cox, Fine-Gray and binomial regression models for survival data
A practical guide to Human Genetics with Lifetime Data
Analysis of multivariate survival data
While Alive estimands for Recurrent Events
Changelog
For internal use
Source:
R/mets-package.R
internal.Rd
For internal use
Author
Klaus K. Holst