Materials for one-day course in Longitudinal Data Analysis
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Updated
Jan 4, 2021 - Jupyter Notebook
Materials for one-day course in Longitudinal Data Analysis
Can behavioral & environmental variables predict who survives? End-to-end ML survival analysis for critically endangered Mountain Gorillas. Random Forest with temporal cross-validation, SQL-based EDA, plotnine visualization & demographic risk flagging. Python · scikit-learn
Statistical analysis of pear quality and longitudinal growth under future climate scenarios using mixed models, GEE, PCA and LDA in R, SAS and Python.
Developing and Evaluating Causal Inference Methods for Pragmatic Trials
This repository contains code for curating data and testing hypotheses relating to the College-to-Work Transition study.
Biostatistician and Researcher focusing on: Early Phase Oncology Dose Optimization, Rare Diseases, Time to Event Data, Longitudinal Data, Bayesian Variable Selection, Multivariate Joint Modeling
Identifying Latent Subgroups from Structurally Complex Multivariate Longitudinal and Time-to-Event Outcomes.
Reproducible longitudinal clinical modeling of serum bilirubin trajectories using linear mixed-effects models in Python.
A robust computational framework for differential dynamic network inference from longitudinal multi-omics data
R package for latent state-trait models
Longitudinal and multilevel statistical modeling (GEE & GLMM) on Brazilian E-Commerce records using PostgreSQL and R. Investigates population repurchase dynamics, logistics friction, unobserved heterogeneity, and merchant overdispersion.
Neuroalliance 2026 - Sydney, Australia
MS thesis project using GAMM and elastic net regression to predict quality of life in young adulthood from individual differences in adolescent neurocognitive development
Bayesian quantile regression joint model (QRJM) for multivariate longitudinal and time-to-event data, in R and JAGS. Applied to an Acute Lymphoblastic Leukemia (ALL) maintenance study, linking lymphocyte, neutrophil and platelet trajectories at different quantile levels to time to relapse. Code for Kundu et al. (2024), Lifetime Data Analysis.
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