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metamisc (version 0.1.9)

Diagnostic and Prognostic Meta-Analysis

Description

Meta-analysis of diagnostic and prognostic modeling studies. Summarize estimates of prognostic factors, diagnostic test accuracy and prediction model performance. Validate, update and combine published prediction models. Develop new prediction models with data from multiple studies.

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Version

Install

install.packages('metamisc')

Monthly Downloads

690

Version

0.1.9

License

GPL-3

Maintainer

Thomas Debray

Last Published

May 13th, 2018

Functions in metamisc (0.1.9)

ccalc

Calculate the concordance statistic
plot.riley

Plot the summary of the bivariate model from Riley et al. (2008).
summary.riley

Parameter summaries Provides the summary estimates of the alternative model for bivariate random-effects meta-analysis by Riley et al. (2008) with their corresponding standard errors (derived from the inverse Hessian). For confidence intervals, asymptotic normality is assumed.
stackedglm

Stacked Regression
uvmeta-class

Class "uvmeta". Result of a univariate meta-analysis.
plot.fat

Display results from the funnel plot asymmetry test
plot.uvmeta

Forest Plots
summary.uvmeta

Summarizing Univariate Meta-Analysis Models
valmeta

Meta-analysis of prediction model performance
uvmeta

Univariate meta-analysis
oecalc

Calculate the total O:E ratio
plot.valmeta

Forest Plots
recalibrate

Recalibrate a Prediction Model
predict.riley

Prediction Interval
vcov.riley

Calculate Variance-Covariance Matrix for a Fitted Riley Model Object
riley

Fit the alternative model for bivariate random-effects meta-analysis
Collins

Collins data
Framingham

Predictive performance of the Framingham Risk Score in male populations
Kertai

Kertai data
Roberts

Roberts data
Scheidler

Diagnostic accuracy data
Fibrinogen

Meta-analysis of the association between plasma fibrinogen concentration and the risk of coronary heath disease
DVTmodels

Risk prediction models for diagnosing Deep Venous Thrombosis (DVT)
Daniels

Daniels and Hughes data
forest

Forest plot
coef.metapred

Extract the regression coefficients The coef function extracts the estimated model coefficients from objects of class "metapred".
EuroSCORE

Predictive performance of EuroSCORE II
DVTipd

Hypothetical dataset for diagnosis of Deep Vein Thrombosis (DVT)
inv.logit

Apply the inverse logit tranformation
metapred

Generalized Stepwise Regression for prediction models
logLik.riley

Print the log-likelihood
metamisc-package

Diagnostic and Prognostic Meta-Analysis
logit

Apply logit tranformation
Zhang

Meta-analysis of the prognostic role of hormone receptors in endometrial cancer
fat

Regression tests for detecting funnel plot asymmetry