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Latent class model
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11	Technical Guide for Latent GOLD Choice 4.0: Basic and Advanced1 Jeroen K. Vermunt and Jay Magidson Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2009-05-15 16:09:58 Econometrics Categorical data Statistical models Discrete choice Multinomial logit Latent class model Linear regression Logistic regression Logit Statistics Economics Regression analysis
12	Fast Inference for the Latent Space Network Model Using a Case-Control Approximate Likelihood1 Adrian E. Raftery, Xiaoyue Niu, Peter D. Hoﬀ and Ka Yee Yeung University of Washington Working Paper no. 101 Center for Sta Add to Reading List Source URL: www.csss.washington.edu Language: English - Date: 2010-07-21 19:38:27 Bayesian statistics Likelihood function Likelihood-ratio test Exponential random graph models Latent class model Statistics Estimation theory Statistical theory
13	Advances in Latent Variable Modeling Using the New Mplus Version 7.2 Bengt Muth´en & Tihomir Asparouhov Mplus www.statmodel.com Add to Reading List Source URL: www.modeling.uconn.edu Language: English - Date: 2014-05-30 13:05:52 Multivariate statistics Structural equation models Graphical models Structural equation modeling Latent class model Hierarchical linear modeling Latent variable model Data analysis Latent variable Statistics Statistical models Psychometrics
14	1. Introduction 2. DLCA 3. Example with social capital Add to Reading List Source URL: www.modeling.uconn.edu Language: English - Date: 2015-05-26 13:12:19 Latent class model Machine learning Mixture model Psychometrics Statistics Categorical data Statistical models
15	Step 3 Tutorial #3: Obtaining equations for scoring new cases DemoData = ‘diabetes.lgf’, ‘diabetes.dat’, ‘data5.dat’ We begin by opening a saved 3-class latent class model using GLUCOSE, Insulin, and SSPG as Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2013-09-17 13:17:38 Endocrine system Diabetes Sweeteners Eli Lilly and Company Insulin Glucose Medicine Nutrition Biology
16	9 MULTIPLE IMPUTATION OF INCOMPLETE CATEGORICAL DATA USING LATENT CLASS ANALYSIS Jeroen K. Vermunt* Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2008-10-27 13:09:12 Econometrics Statistical models Categorical data Imputation Data analysis Poisson regression Maximum likelihood Missing data Mixture model Statistics Estimation theory Regression analysis
17	Hierarchical Mixture Models for Nested Data Structures Jeroen K. Vermunt1 and Jay Magidson2 1 2 Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:13 Regression analysis Categorical data Estimation theory Expectation–maximization algorithm Mixture model Latent class model Mixture distribution Hidden Markov model Markov chain Statistics Statistical models Markov models
18	A Nontechnical Introduction to Latent Class Models by Jay Magidson, Ph.D. Statistical Innovations Inc. Jeroen K. Vermunt, Ph.D. Tilburg University, the Netherlands Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:00 Econometrics Psychometrics Market research Latent class model Latent variable model Factor analysis Linear regression CHAID Latent variable Statistics Regression analysis Statistical models
19	Tutorial #7B: Latent Class Growth Model Using an Active Covariate If you already have the Final 3-class model open, skip to step 2 below. Step 1: To open the previously saved model ‘Final 3-class model’, from the Fil Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2009-06-01 10:29:32 Analysis of variance CHAID Covariate Statistics Regression analysis Econometrics
20	Tuesday 25th September, Seminar Murray Aitken Department of Mathematics and Statistics, The University of Melbourne. About Murray Murray Aitkin holds the degrees of PhD and DSc from the University of Sydney in mat Add to Reading List Source URL: www.statsoc.org.au Language: English - Date: 2014-03-27 21:04:48 Tel Aviv Exponential random graph models Model Statistics Categorical data Latent class model

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