2013 Joint Statistical Meetings - Celebrating the International Year of Statistics

JSM 2013 Online Program

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Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.

Keyword Search Criteria: clustered data returned 10 record(s)

Sunday, 08/04/2013

Generalized S-Estimators for Linear Mixed-Effects Models
Inna Chervoneva, Thomas Jefferson University; Mark Vishnyakov, Thomas Jefferson University
3:25 PM

Induced Smoothing for the Semiparametric Accelerated Failure Time Model with Clustered Data: Marginal Methods and Frailty Models
Lynn Johnson, Cornell University
4:25 PM

Birnbaum-Saunders Frailty Model
Lin Fang, McMaster University; Narayanaswamy Balakrishnan, McMaster University
5:05 PM

Tuesday, 08/06/2013

Evaluation of Approaches to Analyzing Clustered Data When the Number of Clusters and Cluster Size Are Small: A Simulation Study
Jiayan Huang, University of Pennsylvania; Gui-shuang Ying, University of Pennsylvania

A Longitudinal Model for Repeated Cross Sectional Data with Clustering
Albert Satorra, Universitat Pompeu Fabra; Peter M. Bentler, University of California, Los Angeles
9:05 AM

Wednesday, 08/07/2013

Effect of Smoothing in a Generalized Linear Mixed Model Context on Estimation of Covariance Structures for Clustered or Longitudinal Data
Muhammad Mullah, McGill University; Andrea Benedetti, McGill University

Efficient Estimation of Partially Observed Clustered Data Using Multiple Imputation
Kathryn Aloisio, Smith College; Nicholas J. Horton, Smith College; Sonja Swanson, Private; Alison E. Field, Boston Children's Hospital; Nadia Micali, UCL Institute of Child Health
8:35 AM

Mixed Effects Trees and Random Forests for Clustered Data
Ahlem Hajjem, ESG UQAM; François Bellavance, HEC Montréal; Denis Larocque, HEC Montréal
10:35 AM

Thursday, 08/08/2013

Large-Scale Multiple Testing for Spatially Clustered Data
Hongyuan Cao, the university of chicago; Yunda Zhong, The University of Chicago; Wei Biao Wu, The University of Chicago
9:15 AM

Using the Lehman Family of ROC Curves to Evaluate Proxy Measures of Post-Operative Complications
Andrew Mullard, Michigan Surgical Quality Collaborative
9:15 AM

2013 JSM Online Program Home

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