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NestedCohort (version 1.1-3)

Survival Analysis for Cohorts with Missing Covariate Information

Description

Estimate hazard ratios, survival curves and attributable risks for cohorts with missing covariates, using Cox models or Kaplan-Meier estimated for strata. This handles studies nested within cohorts, such as case-cohort studies with stratified sampling. See http://www.r-project.org/doc/Rnews/Rnews_2008-1.pdf

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Version

Install

install.packages('NestedCohort')

Monthly Downloads

11

Version

1.1-3

License

GPL (>= 2)

Maintainer

Hormuzd A Katki

Last Published

February 7th, 2013

Functions in NestedCohort (1.1-3)

nested.coxph

Estimate Cox model hazard ratios for covariates with missing data
nested.stdsurv

Estimate Standardized Survivals and Attributable Risks for covariates with missing data
zinc

Example Study Nested within a Cohort: Zinc and Esophageal Cancer
NestedCohort-package

Survival Analysis of Cohort Studies With Missing Covariate Information ~~ NestedCohort ~~
nested.km

Estimate non-parametric survival curves for each level of categorical variables with missing data.