Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Kai Nichols
Predicting Longitudinal Outcomes of Alzheimer’s Disease via a Tensor-Based Joint Classification and Regression Model
Related publications
Likelihood Estimation for a Longitudinal Negative Binomial Regression Model With Missing Outcomes
Journal of the Royal Statistical Society. Series C: Applied Statistics
Uncertainty
Statistics
Probability
Regression via Logic Supervised Classification
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Predicting Pregnancy Outcomes Using Longitudinal Information: A Penalized Splines Mixed-Effects Model Approach
Statistics in Medicine
Epidemiology
Statistics
Probability
Joint Analysis of Survival Time and Longitudinal Categorical Outcomes
Statistics in Biosciences
Biochemistry
Statistics
Genetics
Probability
Molecular Biology
Facial Expression Recognition in Alzheimer’s Disease: A Longitudinal Study
Arquivos de Neuro-Psiquiatria
Biological Psychiatry
Neurology
Attenuation of Microglial Activation in a Mouse Model of Alzheimer’s Disease via NFAT Inhibition
Journal of Neuroinflammation
Molecular Neuroscience
Neurology
Immunology
Cellular
Neuroscience
A Semiparametric Mixture Regression Model for Longitudinal Data
Journal of Statistical Theory and Practice
Statistics
Probability
Progression of Alzheimer’s Disease: A Longitudinal Study in Norwegian Memory Clinics
Journal of Alzheimer's Disease
Gerontology
Clinical Psychology
Mental Health
Psychiatry
Geriatrics
Medicine
Neuroscience
Predicting Outcomes in Traumatic Brain Injury Using the Glasgow Coma Scale: A Joint Modeling of Longitudinal Measurements and Time to Event
Iranian Red Crescent Medical Journal
Medicine