glmSLMADS2 {dsBase}

R Documentation

Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta-Analysis (SLMA)

Description

Fits a generalized linear model (GLM) on data from single or multiple sources with pooled co-analysis across studies being based on SLMA (Study Level Meta Analysis).

Usage

glmSLMADS2(formula, family, offset, weights, newobj, dataName)

Arguments

formula	a glm formula, specified in call to ds.glmSLMA
family	a glm family, specified in call to ds.glmSLMA
offset	a character string specifying a variable to be used as an offset. Specified in call to ds.glmSLMA.
weights	a character string specifying a variable to be used as regression weights. Specified in call to ds.glmSLMA. Specified in call to ds.glmSLMA.
newobj	a character string specifying the name of the glm object written to the serverside by glmSLMADS.assign. This is either the name specified by the newobj argument in ds.glmSLMA or if newobj was unspecified or NULL it is called new.glm.obj.
dataName	a character string specifying the name of a data.frame holding the data for the model. Specified in call to ds.glmSLMA.

Details

glmSLMADS.assign is an aggregate function called by clientside function ds.glmSLMA. ds.glmSLMA also calls another aggregate function glmSLMADS2 and an assign function glmSLMADS.assign For more detailed information see help for ds.glmSLMA.

Value

All quantitative, Boolean, and character objects required to enable the SLMA pooling of the separate glm models fitted to each study - in particular including the study-specific regression coefficients and their corresponding standard errors.

Author(s)

Paul Burton for DataSHIELD Development Team (14/7/20)

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