Statistical issues in modeling chronic disease in cohort studies
RJ Cook, JF Lawless - Statistics in Biosciences, 2014 - Springer
Observational cohort studies of individuals with chronic disease provide information on rates
of disease progression, the effect of fixed and time-varying risk factors, and the extent of …
of disease progression, the effect of fixed and time-varying risk factors, and the extent of …
Markov‐modulated marked Poisson processes for modeling disease dynamics based on medical claims data
We explore Markov‐modulated marked Poisson processes (MMMPPs) as a natural
framework for modeling patients' disease dynamics over time based on medical claims data …
framework for modeling patients' disease dynamics over time based on medical claims data …
Presidential Strategy Amidst the “Broken” Appointments Process
C Piper - Presidential Studies Quarterly, 2022 - Wiley Online Library
One of the notable features of the most recent presidential administrations has been the
increasing prevalence of vacancies in presidentially appointed and Senate‐confirmed …
increasing prevalence of vacancies in presidentially appointed and Senate‐confirmed …
[HTML][HTML] Modeling disease progression trajectories from longitudinal observational data
BC Kwon, P Achenbach, JL Dunne… - AMIA annual …, 2020 - ncbi.nlm.nih.gov
Analyzing disease progression patterns can provide useful insights into the disease
processes of many chronic conditions. These analyses may help inform recruitment for …
processes of many chronic conditions. These analyses may help inform recruitment for …
Mostly harmless direct effects: A comparison of different latent Markov modeling approaches
We evaluate the performance of the most common estimators of latent Markov (LM) models
with covariates in the presence of direct effects of the covariates on the indicators of the LM …
with covariates in the presence of direct effects of the covariates on the indicators of the LM …
Multistate capture–recapture models for irregularly sampled data
Multistate capture-recapture models for irregularly sampled data Page 1 The Annals of Applied
Statistics 2022, Vol. 16, No. 2, 982–998 https://doi.org/10.1214/21-AOAS1528 © Institute of …
Statistics 2022, Vol. 16, No. 2, 982–998 https://doi.org/10.1214/21-AOAS1528 © Institute of …
Multiparametric quantitative imaging biomarkers for phenotype classification: a framework for development and validation
This manuscript is the third in a five-part series related to statistical assessment methodology
for technical performance of multi-parametric quantitative imaging biomarkers (mp-QIBs) …
for technical performance of multi-parametric quantitative imaging biomarkers (mp-QIBs) …
Yearly transitions of disability profiles in older people living at home
PURPOSE: Planning home services for older people requires extensive knowledge about
the progression of disabilities. Disability-based case-mix classifications identify meaningful …
the progression of disabilities. Disability-based case-mix classifications identify meaningful …
[HTML][HTML] A multistate modeling approach to investigate long-term effects of claw horn disruption lesions and early lesion development in dairy cows
Claw horn disruption lesions (CHDL) are a leading cause of lameness in dairy cattle, and
the development, effect, and pathology of these lesions remains an open area of interest …
the development, effect, and pathology of these lesions remains an open area of interest …
[HTML][HTML] HIV disease progression among antiretroviral therapy patients in Zimbabwe: a multistate Markov model
Background: Antiretroviral therapy (ART) impact has prolonged survival of people living with
HIV. We evaluated HIV disease progression among ART patients using routinely collected …
HIV. We evaluated HIV disease progression among ART patients using routinely collected …