Collection of my lab group materials for students and trainees - pzivich/LabGroupMaterials

Background A common approach used to estimate per-protocol effects, or the effect of perfect adherence to a defined protocol on a specified outcome, is to artificially censor individuals when they dev...

Background A common approach used to estimate per-protocol effects, or the effect of perfect adherence to a defined protocol on a specified outcome, is to artificially censor individuals when they dev...

Many key questions in epidemiology are fundamentally causal. Yet, we often have to rely on assumptions that cannot be directly verified to judge whether an observed association truly reflects causalit...

Background: A core aspect of epidemiology is determining the impacts of potential public health interventions over time. With long follow-up periods, epidemiologists may need to consider semi-competin...

Facilitates estimating, visualizing, and testing average dose-response functions (ADRFs) for characterizing the causal effect of a continuous (i.e., non-discrete) treatment or exposure. Includes suppo...

Deciding which concepts should be described in causal language and which should not Research questions fall into one of three categories: descriptive, predictive, or causal.1 The past decade has seen...

Just to cause yourself more problems, you seek for something. But there is no need for you to seek anything. You have plenty, and you have just enough problems. Shunryū Suzuki in a 1971 talk A ...

Objectives Clinical practice guidelines are designed to guide clinical practice and often make causal claims when making recommendations. Sometimes, guidelines make or require stronger causal claims t...

Major release Additions Display results via print_results() Display Results #80 Additional robust regression functions Additional Robust Functions #78 Beta regression model Finite-sample corre...

Major release Additions Display results via print_results() Display Results #80 Additional robust regression functions Additional Robust Functions #78 Beta regression model Finite-sample corre...

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal question...

Is your feature request related to a problem? Please describe. Right now (v3.2), there is not direct support for non-independent observations. Essentially, all one needs to do (with an independence...