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

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).

glmSLMADS1(formula, family, weights, offset, data)

Arguments

formula

a glm formula, specified in call to ds.glmSLMA

family

a glm family, 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.

offset

a character string specifying a variable to be used as an offset. Specified in call to ds.glmSLMA.

data

a character string specifying the name of a data.frame holding the data for the model. Specified as dataName in call to ds.glmSLMA.

Value

assesses and returns information about failure to pass disclosure traps such as test of model complexity (saturation). For more detailed information see help for 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.

Author

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