'Latent class model' presentation slideshows

Discrete Choice Models

William Greene Stern School of Business New York University. Discrete Choice Models. Part 11. Modeling Heterogeneity. Several Types of Heterogeneity. Observational: Observable differences across choice makers Choice strategy: How consumers make decisions. (E.g., omitted attributes)

1.18k views • 83 slides

7. Models for Count Data, Inflation Models

7. Models for Count Data, Inflation Models. Models for Count Data. Doctor Visits. Basic Model for Counts of Events. E.g., Visits to site, number of purchases, number of doctor visits Regression approach Quantitative outcome measured Discrete variable, model probabilities

828 views • 63 slides

7. Models for Count Data, Inflation Models

7. Models for Count Data, Inflation Models. Models for Count Data. Doctor Visits. Basic Model for Counts of Events. E.g., Visits to site, number of purchases, number of doctor visits Regression approach Quantitative outcome measured Discrete variable, model probabilities

819 views • 63 slides

Latent Class Analysis Using Stata

Latent Class Analysis Using Stata. Chuck Huber StataCorp chuber@stata.com. Stata Webinar March 27, 2018. Outline. Latent class analysis (LCA) Estimation and postestimation options margins and marginsplot Latent class analysis with covariates Latent class analysis by groups

1.14k views • 61 slides

15. Stated Preference Experiments

630 views • 45 slides

Latent Class Analysis

703 views • 43 slides

A Latent Class Call-back Model for Survey Nonresponse

A Latent Class Call-back Model for Survey Nonresponse. Paul P. Biemer RTI International and UNC-CH Michael W. Link Centers for Disease Control and Prevention. Outline. Motivation for the study Early cooperator effects (ECE) in the Behavior Risk Factor Surveillance System (BRFSS)

511 views • 36 slides

A Latent Class Call-back Model for Survey Nonresponse

A Latent Class Call-back Model for Survey Nonresponse. Paul P. Biemer RTI International and UNC-CH Michael W. Link Centers for Disease Control and Prevention. Outline. Motivation for the study Early cooperator effects (ECE) in the Behavior Risk Factor Surveillance System (BRFSS)

364 views • 36 slides

Graphical Diagnostic Tools for Evaluating Latent Class Models: An Application to Depression in the ECA Study

Graphical Diagnostic Tools for Evaluating Latent Class Models: An Application to Depression in the ECA Study. Elizabeth S. Garrett. Department of Biostatistics Johns Hopkins University. GOAL. Provide tools for choosing the most appropriate latent class model.

617 views • 27 slides

Sun-Joo CHO Allan COHEN Brian BOTTGE

Detecting Intervention Effects Using a Multilevel Latent Transition Analysis with a Mixture IRT model. Sun-Joo CHO Allan COHEN Brian BOTTGE. Context.

364 views • 21 slides

Clyde Tucker and Brian Meekins U.S. Bureau of Labor Statistics and Paul Biemer

Using Substantive Diagnostics to Evaluate the Validity of Micro-level Latent Class Indicators of Measurement Error. Clyde Tucker and Brian Meekins U.S. Bureau of Labor Statistics and Paul Biemer Research Triangle Institute. Background.

320 views • 21 slides

Clyde Tucker and Brian Meekins U.S. Bureau of Labor Statistics and Paul Biemer

Using Substantive Diagnostics to Evaluate the Validity of Micro-level Latent Class Indicators of Measurement Error. Clyde Tucker and Brian Meekins U.S. Bureau of Labor Statistics and Paul Biemer Research Triangle Institute. Background.

219 views • 21 slides