A two-step estimator for multilevel latent class analysis with covariates

A two-step estimator for multilevel latent class analysis with covariates

(2023) Roberto Di Mari et al.   PSYCHOMETRIKA

Identifiability of Latent Class Models with Covariates

(2022) Jing Ouyang et al.   PSYCHOMETRIKA

Initialization of Hidden Markov and Semi‐Markov Models: A Critical Evaluation of Several Strategies

(2021) Antonello Maruotti et al.   INTERNATIONAL STATISTICAL REVIEW

Two-stage Multilevel Latent Class Analysis with Covariates in the Presence of Direct Effects

(2021) Zsuzsa Bakk et al.   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error

(2021) Roberto Di Mari et al.   Advances in Data Analysis and Classification

Hierarchical Markov-switching models for multivariate integer-valued time-series

(2020) Leopoldo Catania et al.   JOURNAL OF ECONOMETRICS

Multiple imputation and selection of ordinal level 2 predictors in multilevel models: An analysis of the relationship between student ratings and teacher practices and attitudes

(2020) Grilli Leonardo et al.   STATISTICAL MODELLING

Dynamic Discrete Mixtures for High-Frequency Prices

(2020) Leopoldo Catania et al.   JOURNAL OF BUSINESS & ECONOMIC STATISTICS

A Random-covariate Approach for Distal Outcome Prediction with Latent Class Analysis

(2019) Roberto Di Mari et al.   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Two-Step Estimation of Models Between Latent Classes and External Variables

(2017) Zsuzsa Bakk et al.   PSYCHOMETRIKA

Measurement Invariance and Differential Item Functioning in Latent Class Analysis With Stepwise Multiple Indicator Multiple Cause Modeling

(2017) Katherine E. Masyn   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Exploiting TIMSS and PIRLS combined data: Multivariate multilevel modelling of student achievement

(2016) Leonardo Grilli et al.   Annals of Applied Statistics

Three-step estimation of latent Markov models with covariates

(2015) Francesco Bartolucci et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Multiple substance use patterns in adolescents—A multilevel latent class analysis

(2015) Samuel Tomczyk et al.   DRUG AND ALCOHOL DEPENDENCE

Inference in finite state space non parametric Hidden Markov Models and applications

(2015) E. Gassiat et al.   STATISTICS AND COMPUTING

A multilevel finite mixture item response model to cluster examinees and schools

(2015) Michela Gnaldi et al.   Advances in Data Analysis and Classification

Rcpp: SeamlessRandC++Integration

(2015) Dirk Eddelbuettel et al.   Journal of Statistical Software

Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus

(2014) Tihomir Asparouhov et al.   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Measurement Error Models With Uncertainty About the Error Variance

(2013) Daniel L. Oberski et al.   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Improved Regression Calibration

(2012) Anders Skrondal et al.   PSYCHOMETRIKA

Impacts of fast food and the food retail environment on overweight and obesity in China: a multilevel latent class cluster approach

(2011) Xiaoyong Zhang et al.   PUBLIC HEALTH NUTRITION

Identifiability of parameters in latent structure models with many observed variables

(2009) Elizabeth S. Allman et al.   ANNALS OF STATISTICS

Using Multilevel Mixtures to Evaluate Intervention Effects in Group Randomized Trials

(2008) M. Lee Van Horn et al.   MULTIVARIATE BEHAVIORAL RESEARCH

Latent class and finite mixture models for multilevel data sets

(2007) Jeroen K Vermunt   STATISTICAL METHODS IN MEDICAL RESEARCH