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ipdmeta (version 2.1)

Tools for Individual patient data and Mixed-level Meta-analysis

Description

Mixed effects IPD meta-analysis, mixed-level meta-analysis with patient level data and mulivariate survival estimates for aggregate studies

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Version

Install

install.packages('ipdmeta')

Monthly Downloads

22

Version

2.1

License

GPL-2

Maintainer

S. Kovalchik

Last Published

January 31st, 2011

Functions in ipdmeta (2.1)

mixed.biased

Simulated Mixed-Level Meta-Analysis Survival Data with Ecological Bias
cluster.subvector.matrix

Construct matrix from grouped vector
Qt

Measures of covariate heterogeneity
coxmeta.initialize

Initialization for Mixed-Level Meta-Analysis Estimation
get.diag

Extract Diagonal Elements from Matrix
mlma

Mixed-Level Meta-Analysis for Survival Data
cancer.rats

Rats data for frailty modeling
ipdmeta

Individual patient and Mixed-level Meta-analysis of Time-to-Event Outcomes
ci

Confidence Interval for linear combination of parameter estimates.
surv.covariance.variance

Construct covariance-variance matrix for study-level model of MLMA
coxmeta.fixed

Mixed data fixed effects meta-analysis with survival data
coxmcem.mixed.initialize

Initialization for Mixed-Level Meta-Analysis T Frailty Proposal
which.formula

Formula Comparison
ipd.sep

IPD meta-analysis Subgroup Effect Power Estimator
poynard

Meta-analysis data set for Poynard et al. review of beta-adrenergic-antagonist drugs
ipd.data

Simulated patient-level clustered survival data
coxmcem

MCEM with importance sampling for Cox Mixed Effects Model
bas.haz

Baseline hazard for individual-level and study-level from mixed-level meta-analysis
make.clustered.ipd

Generates a Mixed Effects IPD meta dataset of Weibull event times
coxmeta.mixed

Mixed data mixed effects meta-analysis with survival data
beta.indices

Shared Components for Mixed-Level Meta-Analysis Functions
frailty.model.matrix

Design matrix for random effects in Cox mixed effects model
meta.data

Simulated study-level clustered survival data