MetaHD (version 0.1.3)

MetaHDInput: Creating Input Data for MetaHD When Individual-Level Data are Available

Description

The MetaHDInput function creates input data Y (treatment effects) and Slist (within-study covariance matrices) for MetaHD when individual-level data are available. Assuming that the individual-level data are in the following format, with 'study' in column 1, 'group' in column 2 and outcomes in rest of the columns, with samples in rows.

Usage

MetaHDInput(data)

Value

A list of objects containing :

Y

treatment effect sizes of the outcomes in the form of a K x N matrix, where K is the number of studies and N is the number of outcomes.

Slist

K-dimensional list of N x N matrices representing within-study variances and covariances of the treatment effects

Arguments

data

a dataframe consisting of individual-level data in the format, where 'study' in column 1, 'group' in column 2 and outcomes in rest of the columns and samples in rows.

Examples

input_data <- MetaHDInput(realdata)

Y <- input_data$Y
Slist <- input_data$Slist

## MULTIVARIATE RANDOM-EFFECTS META-ANALYSIS, ESTIMATED WITH REML
model <- MetaHD(Y, Slist, method = "reml", bscov = "unstructured")
model$estimate
model$pVal