activity
20162022
most citedBayesian latent time joint mixed effect models for multicohort longitudinal data

81 citations · 136 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2022★ 37 cited

Natural cubic splines for the analysis of Alzheimer's clinical trials

M. C. Donohue, O. Langford, P. Insel +6

Mixed model repeated measures (MMRM) is the most common analysis approach used in clinical trials for Alzheimer's disease and other progressive diseases measured with continuous ou…

q-bio.PE2020

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young +93

We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared the performance of 92 algorithms from 33 international…

stat.AP2019★ 18 cited

The relative efficiency of time-to-progression and continuous measures of cognition in pre-symptomatic Alzheimer's

Dan Li, Samuel Iddi, Paul S. Aisen +2

Pre-symptomatic (or Preclinical) Alzheimer's Disease is defined by biomarker evidence of fibrillar amyloid beta pathology in the absence of clinical symptoms. Clinical trials in th…

stat.AP2017★ 81 cited

Bayesian latent time joint mixed effect models for multicohort longitudinal data

Dan Li, Samuel Iddi, Wesley K. Thompson +1

Characterization of long-term disease dynamics, from disease-free to end-stage, is integral to understanding the course of neurodegenerative diseases such as Parkinson's and Alzhei…

stat.AP2016

Regression of ranked responses when raw responses are censored

Michael C. Donohue, Anthony C. Gamst, Robert A. Rissman +1

We discuss semiparametric regression when only the ranks of responses are observed. The model is , where is the unobs…