3 papers
stat.ME2026
Covariate Informed Identification of Heterogeneity and Outliers in Longitudinal Data
Anish Mukherjee, Jeremy T. Gaskins
We often observe heterogeneity in longitudinal data, where the mean and variance for certain profiles meaningfully differ from the rest. Some profiles may also exhibit outliers at…
stat.ME2025
Analyzing zero-inflated clustered longitudinal ordinal outcomes using GEE-type models with an application to dental fluorosis studies
Shoumi Sarkar, Anish Mukherjee, Jeremy T. Gaskins +3
Motivated by the Iowa Fluoride Study (IFS), which tracked fluoride intake and dental outcomes from childhood to young adulthood (ages 9, 13, 17, and 23), we analyze dental fluorosi…
stat.ME2024
Modeling Zero-Inflated Correlated Dental Data through Gaussian Copulas and Approximate Bayesian Computation
Anish Mukherjee, Jeremy T. Gaskins, Shoumi Sarkar +2
We develop a new longitudinal count data regression model that accounts for zero-inflation and spatio-temporal correlation across responses. This project is motivated by an analysi…