Carolyn M. Ervin

TL;DR: To estimate the net effect of highly active antiretroviral therapy (HAART) on time to acquired immunodeficiency syndrome (AIDS) or death, the authors used inverse probability-of-treatment weighted estimation of a marginal structural model, which can appropriately adjust for time-varying confounders affected by prior treatment or exposure.

TL;DR: The rationale and design for a randomized controlled trial evaluating the effectiveness of a treatment regimen for people who have undergone a single-level lumbar microdiscectomy for the first time are presented.

TL;DR: It is posited that big data and machine learning approaches will considerably advance SUD biomarker discovery, however, translation to clinical practice, will require integrated scientific efforts.

TL;DR: The vision, methods, and implementation strategies used in building the infrastructure for PTClinResNet, a clinical research network designed to assess outcomes for health-related mobility associated with evidence-based physical therapy interventions, are described.

TL;DR: In this paper, the authors developed robust models and multiethnic prediction of the urinary nicotine metabolite ratio and total nicotine equivalents using statistical and machine learning approaches, and evaluated external validity using behavioral outcomes in 1,864 treatment-seeking smokers in two ethnic groups.