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Statistical Methods in Medical Research
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September 15, 2007
Latent class and finite mixture models for multilevel data sets
Jeroen K Vermunt
Psychological Methods
|
March 9, 2011
K-means may perform as well as mixture model clustering but may also be much worse: comment on Steinley and Brusco (2011)
Jeroen K Vermunt
Multivariate Behavioral Research
|
January 23, 2016
Mixed-Effects Logistic Regression Models for Indirectly Observed Discrete Outcome Variables
Jeroen K Vermunt
The British Journal of Mathematical and Statistical Psychology
|
June 10, 2011
Latent class models for testing monotonicity and invariant item ordering for polytomous items
Rudy Ligtvoet, Jeroen K Vermunt
Multivariate Behavioral Research
|
January 7, 2016
Multilevel Mixture Factor Models
Roberta Varriale, Jeroen K Vermunt
The British Journal of Mathematical and Statistical Psychology
|
October 19, 2017
A semi-parametric within-subject mixture approach to the analyses of responses and response times
Dylan Molenaar, Maria Bolsinova, Jeroen K Vermunt
Educational and Psychological Measurement
|
May 26, 2018
Item Response Theory With Covariates (IRT-C): Assessing Item Recovery and Differential Item Functioning for the Three-Parameter Logistic Model
Louis Tay, Qiming Huang, Jeroen K Vermunt
Psychological Methods
|
December 3, 2020
Mixture multigroup factor analysis for unraveling factor loading noninvariance across many groups
Kim De Roover, Jeroen K Vermunt, Eva Ceulemans
Multivariate Behavioral Research
|
December 31, 2015
Stepwise Latent Class Models for Explaining Group-Level Outcomes Using Discrete Individual-Level Predictors
Margot Bennink, Marcel A Croon, Jeroen K Vermunt
Journal of Applied Statistics
|
June 16, 2022
Multiple imputation of longitudinal categorical data through bayesian mixture latent Markov models
Davide Vidotto, Jeroen K Vermunt, Katrijn Van Deun
Page
of 7
Search research articles
Search
Showing results (1-10 of 68) with videos related to
Sort By:
Page
of 7
Statistical Methods in Medical Research
|
September 15, 2007
Latent class and finite mixture models for multilevel data sets
Jeroen K Vermunt
Psychological Methods
|
March 9, 2011
K-means may perform as well as mixture model clustering but may also be much worse: comment on Steinley and Brusco (2011)
Jeroen K Vermunt
Multivariate Behavioral Research
|
January 23, 2016
Mixed-Effects Logistic Regression Models for Indirectly Observed Discrete Outcome Variables
Jeroen K Vermunt
The British Journal of Mathematical and Statistical Psychology
|
June 10, 2011
Latent class models for testing monotonicity and invariant item ordering for polytomous items
Rudy Ligtvoet, Jeroen K Vermunt
Multivariate Behavioral Research
|
January 7, 2016
Multilevel Mixture Factor Models
Roberta Varriale, Jeroen K Vermunt
The British Journal of Mathematical and Statistical Psychology
|
October 19, 2017
A semi-parametric within-subject mixture approach to the analyses of responses and response times
Dylan Molenaar, Maria Bolsinova, Jeroen K Vermunt
Educational and Psychological Measurement
|
May 26, 2018
Item Response Theory With Covariates (IRT-C): Assessing Item Recovery and Differential Item Functioning for the Three-Parameter Logistic Model
Louis Tay, Qiming Huang, Jeroen K Vermunt
Psychological Methods
|
December 3, 2020
Mixture multigroup factor analysis for unraveling factor loading noninvariance across many groups
Kim De Roover, Jeroen K Vermunt, Eva Ceulemans
Multivariate Behavioral Research
|
December 31, 2015
Stepwise Latent Class Models for Explaining Group-Level Outcomes Using Discrete Individual-Level Predictors
Margot Bennink, Marcel A Croon, Jeroen K Vermunt
Journal of Applied Statistics
|
June 16, 2022
Multiple imputation of longitudinal categorical data through bayesian mixture latent Markov models
Davide Vidotto, Jeroen K Vermunt, Katrijn Van Deun
Page
of 7