ipdmeta: Tools for subgroup analyses with multiple trial data using aggregate statistics

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This package provides functions to estimate an IPD linear mixed effects model for a continuous outcome and any categorical covariate from study summary statistics. There are also functions for estimating the power of a treatment-covariate interaction test in an individual patient data meta-analysis from aggregate data.

Author
S. Kovalchik
Date of publication
2012-09-04 19:06:36
Maintainer
S. Kovalchik <s.a.kovalchik@gmail.com>
License
GPL-2
Version
2.4

View on CRAN

Man pages

confint
Compute confidence intervals for population effects of an...
converged
Extract the convergence status for an 'ipdlme' object
convergence
Extract the convergence trace for an 'ipdlme' object
fixef
Extract the population (fixed effect) estimates for an...
ipdlme
IPD Linear Mixed-Effects Models from Aggregate Data
ipdmeta-class
Class for representing ipdlme objects
ipdmeta-package
Tools for subgroup analyses with multiple trial data using...
ipd.sep
IPD meta-analysis Subgroup Effect Power Estimator
maxiter
Extract the maximum number of iterations specified for an...
niter
Extract the number of iterations for an 'ipdlme' object
plot
Forest plot of study random effects for an 'ipdlme' object
poynard
Meta-analysis data set for Poynard et al. review of...
Qt
Measures of covariate heterogeneity
ranef
Extract the study random effects for an 'ipdlme' object
regress
Aggregated data set of REGRESS trial outcomes for IPD...
regress_chol
Aggregated data set of REGRESS trial outcomes for IPD...
sigma2
Extract the estimated residual variance for an 'ipdlme'...
tol
Extract the convergence criterion for an 'ipdlme' object
Var
Extract the random effect variance parameters
vcovfixef
Extract the variance-covariance for the population (fixed...
vcovranef
Extract the variance-covariance matrix for study random...

Files in this package

ipdmeta
ipdmeta/MD5
ipdmeta/R
ipdmeta/R/Qt.R
ipdmeta/R/plot.R
ipdmeta/R/ipd_lme_hetero.R
ipdmeta/R/ipd_lme.R
ipdmeta/R/ipd.sep.R
ipdmeta/R/get.diag.R
ipdmeta/R/class_ipdlme.R
ipdmeta/NEWS
ipdmeta/NAMESPACE
ipdmeta/man
ipdmeta/man/vcovranef.Rd
ipdmeta/man/vcovfixef.Rd
ipdmeta/man/Var.Rd
ipdmeta/man/tol.Rd
ipdmeta/man/sigma2.Rd
ipdmeta/man/regress_chol.Rd
ipdmeta/man/regress.Rd
ipdmeta/man/ranef.Rd
ipdmeta/man/Qt.Rd
ipdmeta/man/poynard.Rd
ipdmeta/man/plot.Rd
ipdmeta/man/niter.Rd
ipdmeta/man/maxiter.Rd
ipdmeta/man/ipdmeta-package.Rd
ipdmeta/man/ipdmeta-class.Rd
ipdmeta/man/ipdlme.Rd
ipdmeta/man/ipd.sep.Rd
ipdmeta/man/fixef.Rd
ipdmeta/man/convergence.Rd
ipdmeta/man/converged.Rd
ipdmeta/man/confint.Rd
ipdmeta/DESCRIPTION
ipdmeta/data
ipdmeta/data/regress_chol.RData
ipdmeta/data/regress_age.RData
ipdmeta/data/poynard.RData
ipdmeta/beta
ipdmeta/beta/which.formula.R
ipdmeta/beta/surv.covariance.variance.R
ipdmeta/beta/re_methods.R
ipdmeta/beta/mlma.R
ipdmeta/beta/make.ecological.bias.ipd.R
ipdmeta/beta/make.clustered.ipd.R
ipdmeta/beta/ipd_lme.R
ipdmeta/beta/frailty.model.matrix.R
ipdmeta/beta/ecological.bias.example.R
ipdmeta/beta/coxmeta.mixed.revised.R
ipdmeta/beta/coxmeta.mixed.R
ipdmeta/beta/coxmeta.fixed.R
ipdmeta/beta/coxmcem.R
ipdmeta/beta/cluster.subvector.matrix.R
ipdmeta/beta/ci.R
ipdmeta/beta/beta.indices.R
ipdmeta/beta/bas.haz.R