Many Models: Conducting Sensitivity Analyses in R
Speaker(s):
Bio: I am Senior Research Fellow at the Centre for Longitudinal Studies at UCL. I am interested in causal inference, sociogenomics and computational and quantiative social science.
Abstract:
Typically, research papers in health and social science include the results of one, or a few, models. These are drawn from a wider universe of defensible models that could have been run, but results may not be robust to these other model specifications. Other times, answering a research question requires running a model over different subsets of the data or with different sets of variables (for instance, repeating a model across a set of ages). But writing the code to run multiple models can be daunting and error-prone. In this interactive workshop, we will demonstrate simple ways to run many models using the programming language R. We will also show how the results of many models can be combined and presented in simple, comprehensible ways and we will show how computationally demanding models can be run cost-effectively in the cloud. Attendees will require access to R and RStudio.