Results 141 to 150 of about 913,637 (282)

Beta-binomial Count Model Bayesian Estimation

This project proposed the Beta-binomial Count model for bounded count data that accounts for overdispersion that is ignored in the binomial model. Bounded count data are jointly modeled with response time data.
Xin Qiao
core  

Intravascular Lithotripsy in Left Main Stem Percutaneous Coronary Intervention

Catheterization and Cardiovascular Interventions, EarlyView.
ABSTRACT Background IVL is increasingly used for coronary calcium modification; however, prospective data for its use in LMS lesions are lacking. Aims To evaluate the feasibility, safety, and mechanical efficacy of intravascular lithotripsy (IVL) for calcium modification in calcified distal left main stem (LMS) percutaneous coronary intervention ...
Claudia S Cosgrove, Retesh Bajaj, Ganeev Malhotra, Francis R Joshi, Akiko Maehara, Andrew McNeice, Margaret McEntegart, Gao Ong, Novalia Sidik, Julian W Strange, Simon Walsh, Ian Webb, Simon Wilson, Jiawei Wu, James C Spratt   +14 more
wiley   +1 more source

Heterogeneous model for superdiffusive movement of dense core vesicles in C. elegans

Scientific Reports
Transport of dense core vesicles (DCVs) in neurons is crucial for distributing molecules like neuropeptides and growth factors. We studied the experimental trajectories of dynein-driven directed movement of DCVs in the ALA neuron in C.
Anna Gavrilova, Nickolay Korabel, Victoria J. Allan, Sergei Fedotov   +3 more
doaj   +1 more source

Scaled Rate Optimization for Beta-Binomial Models

, 2017
16 pages, 1 table, 1 algorithm, 1 ...
openaire   +2 more sources

Cangrelor Dosing, Administration, and Clinical Outcomes for Patients Undergoing Complex and High‐Risk Percutaneous Coronary Interventions

Catheterization and Cardiovascular Interventions, EarlyView.
ABSTRACT Background Cangrelor reduces thrombotic events in patients undergoing percutaneous coronary intervention (PCI), with the advantage of rapid onset and offset. However, premature discontinuation may increase the risk of acute thrombosis for patients undergoing complex/high‐risk PCI (CHIP).
Siyu Ma, Wendy Y. Cheng, Yinong Liang, Josephine Bryar, Gwyneth Wei, Joshua D. Niznik, Christina Yin, Sue Liu‐Yi, Jimmy L. Kerrigan   +8 more
wiley   +1 more source

Copula‐based joint modelling of emergency department visits with time‐varying dependence

Canadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source

BAYESIAN TESTS OF EXTRA-BINOMIAL VARIABILITY

, 2008
A simple model for extra-Binomial variability is the Beta- Binomial. A complication in testing the Binomial against the Beta-Binomial alternative is that the Binomial lies on the boundary of the Beta-Binomial, which forces modifications to the usual ...
Hsiao, Chuhsing Kate; Lee, Mei-hsien; Kass, Robert E., 蕭朱杏;李美賢   +1 more
core  

Sparse maximum likelihood estimation of regression models

Canadian Journal of Statistics, EarlyView.
Abstract For regression model selection and estimation, we study a small set of candidate models of maximum likelihood from which all information criteria such as the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) choose their models.
Min Tsao
wiley   +1 more source

Order restricted row‐column cluster randomized design

Canadian Journal of Statistics, EarlyView.
Abstract This research introduces a novel two‐stage cluster randomized design, the order restricted row‐column cluster randomized design. The new design builds upon the cluster randomized block design by incorporating a second layer of blocking, achieved through ranking cluster units that are randomly sampled from the population.
Dalton Hopper, Omer Ozturk, Olena Kravchuk   +2 more
wiley   +1 more source

Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions

Canadian Journal of Statistics, EarlyView.
Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley   +1 more source