Results 91 to 100 of about 1,816,247 (166)

Variance estimation in tests of clustered categorical data with informative cluster size. [PDF]

Stat Methods Med Res, 2020
Gregg M, Datta S, Lorenz D.
europepmc   +1 more source

A nonparametric framework for inferring orders of categorical data from category-real pairs. [PDF]

Heliyon, 2020
Amornbunchornvej C, Surasvadi N, Plangprasopchok A, Thajchayapong S.   +3 more
europepmc   +1 more source

Clinical subphenotypes of sepsis based on mixed continuous and categorical data and differences in treatment effects: a cluster analysis of multicenter observational studies. [PDF]

Crit Care
Yokokawa Y, Sakurai R, Kudo D, Tamiya G, Kushimoto S.   +4 more
europepmc   +1 more source

Proposal of a Method for Transferring High-Quality Scientific Literature Data to Virtual Patient Cases Using Categorical Data Generated by Bernoulli-Distributed Random Values: Development and Prototypical Implementation.

JMIR Med Educ, 2023
Schmidt C, Kesztyüs D, Haag M, Wilhelm M, Kesztyüs T.   +4 more
europepmc   +1 more source

A latent class pattern mixture model for nonignorable nonresponses in multivariate categorical data. [PDF]

Comput Stat
Lee J, Sieger ML, Phillips JD.
europepmc   +1 more source

Migraine screen questionnaire: further psychometric evidence from categorical data methods. [PDF]

Health Qual Life Outcomes, 2020
Manzar MD, Hameed UA, Salahuddin M, Khan MYA, Nureye D, Wakene W, Alamri M, Albougami A, PandiPerumal SR, Bahammam AS.   +9 more
europepmc   +1 more source

Categorical Data Analysis - Logistic Regression

Southwest Respiratory and Critical Care Chronicles, 2014
Shengping Yang, Gilbert Berdine
doaj  

Author Correction: A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data. [PDF]

NPJ Digit Med
Zheng Y, Bensahla A, Bjelogrlic M, Zaghir J, Turbe H, Bednarczyk L, Gaudet-Blavignac C, Ehrsam J, Marchand-Maillet S, Lovis C.   +9 more
europepmc   +1 more source

A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data. [PDF]

NPJ Digit Med
Zheng Y, Bensahla A, Bjelogrlic M, Zaghir J, Turbe H, Bednarczyk L, Gaudet-Blavignac C, Ehrsam J, Marchand-Maillet S, Lovis C.   +9 more
europepmc   +1 more source

Multiple imputation of longitudinal categorical data through bayesian mixture latent Markov models. [PDF]

J Appl Stat, 2020
Vidotto D, Vermunt JK, Van Deun K.
europepmc   +1 more source