'Latent class' presentation slideshows

William Greene Department of Economics Stern School of Business New York University

Some Applications of Latent Class Modeling In Health Economics. William Greene Department of Economics Stern School of Business New York University. ?????????????????????????. Outline. Theory: Finite Mixture and Latent Class Models Applications Obesity Self Assessed Health

931 views • 77 slides

Latent transition analysis (LTA) for modeling discrete change in longitudinal data

Latent transition analysis (LTA) for modeling discrete change in longitudinal data. Stephanie T. Lanza The Methodology Center The Pennsylvania State University UCLA May 1, 2006. The Methodology Center. A group of social scientists and statisticians working together

1.16k views • 61 slides

Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. 0 Introduction 1 Summary 2 Binary Choice 3 Panel Data 4 Bivariate Probit 5 Ordered Choice 6 Count Data Models 7 Multinomial Choice 8 Nested Logit 9 Heterogeneity 10 Latent Class 11 Mixed Logit

745 views • 55 slides

Binary Models 1

Binary Models 1. A (Longitudinal) Latent Class Analysis of Bedwetting. How much fun can you have with 5 binary variables?. Croudace paper:. Gender-specific prevalence and levels of missing data. Latent Class Models. Deal with patterns of response e.g. 11111 = Yes at all five time points

715 views • 54 slides

Empirical Methods for Microeconomic Applications University of Lugano, Switzerland May 27-31, 2013

Empirical Methods for Microeconomic Applications University of Lugano, Switzerland May 27-31, 2013. William Greene Department of Economics Stern School of Business. 3A. Stated Preference Experiments. Agenda for 3A. Stated Preference Applications SP Data Application: Energy Supply

643 views • 51 slides

Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. 0 Introduction 1 Methodology 2 Binary Choice 3 Panel Data 4 Bivariate Probit 5 Ordered Choice 6 Count Data 7 Multinomial Choice 8 Nested Logit 9 Heterogeneity 10 Latent Class 11 Mixed Logit

630 views • 46 slides

Genetic background and population stratification

Genetic background and population stratification. Shaun Purcell 1,2 & Pak Sham 1 1 Social, Genetic & Developmental Psychiatry Research Centre, IoP, KCL, London. 2 Whitehead Institute, MIT, Cambrdige, MA, USA. Association & stratification. Sewall Wright (1951)

618 views • 45 slides

Elizabeth Garrett-Mayer Division of Biostatistics The Sidney Kimmel Comprehensive Cancer Center

519 views • 41 slides

Elizabeth S. Garrett Division of Biostatistics Johns Hopkins University December 9, 2002

480 views • 37 slides

Econometric Analysis of Panel Data

Econometric Analysis of Panel Data. William Greene Department of Economics Stern School of Business. Agenda. Random Parameter Models Fixed effects Random effects Heterogeneity in Dynamic Panels Random Coefficient Vectors-Classical vs. Bayesian General RPM Swamy/Hsiao/Hildreth/Houck

510 views • 36 slides

David Kaplan & Heidi Sweetman University of Delaware

460 views • 35 slides

Mixture modelling of continuous variables

Mixture modelling of continuous variables. Mixture modelling. So far we have dealt with mixture modelling for a selection of binary or ordinal variables collected at a single time point (c/s) or longitudinally across time

398 views • 27 slides

Tony Tam The Chinese University of Hong Kong May 11, 2010

Accounting for Dynamic Selection Bias in Education Transitions: A Large-sample Evaluation of Latent Class Regression Estimators. Tony Tam The Chinese University of Hong Kong May 11, 2010 A similar version has been presented at the 2008 RC28 conference in Florence, Italy. Motivation.

369 views • 26 slides

Optimization-Based Model Fitting for Latent Class and Latent Profile Analyses

Optimization-Based Model Fitting for Latent Class and Latent Profile Analyses. Guan-Hua Huang, Su-Mei Wang and Chung-Chu Hsu 12/17/2010. Breast cancer data. van't Veer et al . Nature 2002 The 78 sporadic lymph-node-negative breast cancer patients

355 views • 24 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

Alcohol Use and Psychiatric Comorbidity: A Phenotypic perspective

Alcohol Use and Psychiatric Comorbidity: A Phenotypic perspective. K. Thennarasu, Kathleen K Bucholz and Rosalind J Neuman Department of Psychiatry, Washington University School of Medicine, St. Louis, MO. Objectives.

295 views • 20 slides

Modelling Charitable Donations: A Latent Class Panel Approach

Modelling Charitable Donations: A Latent Class Panel Approach. Sarah Brown (Sheffield) William Greene (New York) Mark Harris (Monash) Karl Taylor (Sheffield). July 2011. I. INTRODUCTION AND BACKGROUND.

304 views • 19 slides

Latent Class Regression Model Graphical Diagnostics Using an MCMC Estimation Procedure

Latent Class Regression Model Graphical Diagnostics Using an MCMC Estimation Procedure. Elizabeth S. Garrett Scott L. Zeger Johns Hopkins University esg@jhu.edu. Overview. Latent class models can be useful tools for measuring latent constructs.

293 views • 17 slides

277 views • 15 slides

Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. 0 Introduction 1 Methodology 2 Binary Choice 3 Panel Data 4 Bivariate Probit 5 Ordered Choice 6 Count Data 7 Multinomial Choice 8 Nested Logit 9 Heterogeneity 10 Latent Class 11 Mixed Logit

338 views • 14 slides