After every iteration in the glm, each study returns non disclosive summaries (a score vector and an information matrix) that are combined on the client R session. The model is fitted again with the updated beta coefficients, this iterative process continues until convergence or the maximum number of iterations is reached. The output of ds.glm returns the final pooled score vector and information along with some information about the convergence and the final pooled beta coefficients.

You have now completed our basic DataSHIELD training.

Some extended practicals will be coming soon.

Also remember you can:

• get a function list for any DataSHIELD package and
• view the manual help page individual functions
• in the DataSHIELD test environment it is possible to print analyses to file (.csv, .txt, .pdf, .png)
• take a look at our FAQ page for solutions to common problems such as Changing variable class to use in a specific DataSHIELD function.
• Get support from our DataSHIELD forum.