dat.pte {altmeta}

Meta-Analysis of Multiple Risk Factors for Pterygium

Description

This dataset serves as an example to illustrate network meta-analysis of multiple factors. It consists of 29 studies on a total of 8 risk factors: area of residence (rural vs. urban); education attainment (low vs. high); latitude of residence (low vs. high); occupation type (outdoor vs. indoor); smoking status (yes vs. no); use of hat (yes vs. no); use of spectacles (yes vs. no); and use of sunglasses (yes vs. no). Each study only investigates a subset of the 8 risk factors, so the dataset contains many missing values.

Usage

data("dat.pte")

Format

A list containing two elements, y and se.

y

a 29 x 8 numeric matrix containing the observed effect sizes; the rows represent studies and the columns represent outcomes.

se

a 29 x 8 numeric matrix containing the within-study standard errors; the rows represent studies and the columns represent outcomes.

Source

Serghiou S, Patel CJ, Tan YY, Koay P, Ioannidis JPA (2016). "Field-wide meta-analyses of observational associations can map selective availability of risk factors and the impact of model specifications." Journal of Clinical Epidemiology, 71, 58–67. <doi: 10.1016/j.jclinepi.2015.09.004>