What is the best way to predict medication adherence? Logistic vs. LASSO vs. random forest

Let’s say you are studying patients taking Drug A for Disease X. Further assume that you want to identify predictors that a patient is adherent to Drug A. Using health insurance claims data, you define your outcome–medication adherence–as whether the patient had proportion of days covered (PDC) is greater than or equal to 80%, the…

Synthetic Control Method

One popular technique for causal inference is difference-in-difference (DiD) estimation. Under DiD, there is one cohort of observations with both a pre and post intervention time period and another group that was not exposed to the intervention. The time trend of the group without an intervention in essence serves as a control group for the…

Expert Knowledge Elicitation: A Brief Review of Different Approaches

We must accept that there is subjectivity in every stage of scientific inquiry, but objectivity is nevertheless the fundamental goal. Therefore, we should base judgments on evidence and careful reasoning, and seek wherever possible to eliminate potential sources of bias.(Brownstein et al. 2018) In many cases–for instance building a cost effectiveness model–there are some parameters…

Survival distributions in R

My former colleague Devin Incerti has a nice summary of how to implement survival function estimation in R. Not only does he mathematically describe the probability density function (PDF), cumulative density function (CDF), and hazard rates for 8 commonly used parametric survival curves [see table below], he also describes how to implement these using the…