metamisc (version 0.1.9)

DVTmodels: Risk prediction models for diagnosing Deep Venous Thrombosis (DVT)

Description

Previously published prediction models for predicting the presence of DVT.

Usage

data(DVTmodels)

Format

An object of the class litmodels with the following information for each literature model: the study-level descriptives ("descriptives"), the regression coefficient or weight for each predictor ("weights") and the error variance for each regression coefficient or weight ("weights.var").

Details

Previously, several models (Gagne, Oudega) and score charts (Wells, modified Wells, and Hamilton) have been published for evaluating the presence of DVT in suspected patients. These models combine information on mulitple predictors into a weighted sum, that can subsequently be used to obtain estimates of absolute risk. See DVTipd for more information on the predictors.

References

Debray TPA, Koffijberg H, Nieboer D, Vergouwe Y, Steyerberg EW, Moons KGM. Meta-analysis and aggregation of multiple published prediction models. Stat Med. 2014 Jun 30;33(14):2341--62.

Debray TPA, Koffijberg H, Vergouwe Y, Moons KGM, Steyerberg EW. Aggregating published prediction models with individual participant data: a comparison of different approaches. Stat Med. 2012 Oct 15;31(23):2697--712.

See Also

DVTipd

Examples

# NOT RUN {
data(DVTmodels)
# }