Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demo of Poisson regression, where the goal is to predict a count of things arriving, such as the number of telephone calls ...

"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count data. The most ...

Objective: To examine whether type of health insurance plan, among other variables, affects the length of stay for cervical cancer-related hospitalizations. Study Design, Patients, and Methods: ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Food-insecure individuals have fewer total annual visits (in-person and via telehealth) across 4 types of office-based and outpatient visits: general checkup, diagnosis or treatment, psychotherapy or ...

Objectives To determine the incidence rate of suicide from 2002 to 2022 among athletes from the National Collegiate Athletic Association (NCAA) and assess for potential differences by, sex, race, ...

Citations: Bockenholt, Ulf. 1999. INAR(1) Poisson regression models: Analyzing heterogeneity and serial dependencies in repeated count data. Journal of Econometrics. 317-338.