Methods Projects

Likelihood ratio meta-analysis (LRMA) provides an alternative technique for comparing alternative hypotheses, and the results of a LRMA can be presented in a format that is familiar to meta-analytic audience. We explain the LRMA method and illustrate its application to an existing meta-analysis of observation studies on the association between high potency statins and acute kidney injury.

Patients with type 2 diabetes using incretin-based drugs to lower their blood sugar levels do not have an increased risk of heart failure, compared to those using combinations of other oral antidiabetic drugs.

We examine the standard propensity score and high-dimensional propensity score methods to identify which provides the best adjustment for confounding by indication. To demonstrate and compare the performance of each, we use both methods to assess the risk of diabetes among statin users in Quebec, Canada.

The use of incretin-based drugs, therapies prescribed for the treatment of type 2 diabetes, is not associated with an increased risk of pancreatic cancer, when compared with sulfonylureas.

We review issues in network meta-analysis, specifically related to the incorporation of observational data.

We compare the statistical power of an observational study using an IPTW design with that of a randomized controlled trial.