SCIENTIFIC PROGRAMS AND ACTIVITIES

August 21, 2014

Symposium on Dependent Data Structures,
May 21-23, 2008
Venue: 5050 Minto Centre, Carleton University

Organizers: Sanjoy Sinha, Patrick Farrell, Chul Park, and Shirley Mills (Carleton University)

 

Scientific Program

Wednesday, May 21
8:30-10:30 On Site Registration, 5050 Minto Centre
8:45-9:00 Opening remarks - by J.N.K. Rao, Carleton University
Invited session I: Dependent data and genomics
Chair: Ehsanes Saleh, Carleton University
9:00-9:45 Data cloning: a simple approach for computing maximum likelihood estimates for mixed models,
Subhash Lele, University of Alberta
9:45-10:30 The generalized adjacency criterion in comparative genomics,
David Sankoff, University of Ottawa
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Contributed session II: Clustered and time series data
Chair: Jason Nielsen, Carleton University
11:00-11:30 Methods for clustered/correlated failure time data
Leilei Zeng, Simon Fraser University
11:30-12:00 Conditional inference in linear versus non-linear models for binary time series,
Vickneswary Tagore (speaker) & Brajendra Sutradhar, Memorial University
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Invited session III: Time series with applications to biology
Chair: J.N.K. Rao, Carleton University
2:00-3:00 Assessing connections in networks with point process input and output with a biological example,
David Brillinger, University of California, Berkeley
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Contributed session IV: Categorical data
Chair: Chul Park, Carleton University
3:30-4:00 Generalized estimating equations for generalized Poisson count data with regression effects on the mean and dispersion level applied to patent outsourcing rates,
Vinzenz Erhardt (speaker) & Claudia Czado, Munich University ofTechnology
4:00-4:30 Association analysis of disease status with a candidate gene using generalized linear mixed models,
Salehin Chowdhury, Carleton University
4:30 - 5:00

Inequality constraints in generalized linear and mixed models with missing data
Karelyn Davis1 (speaker), Chul G. Park2, and Sanjoy K. Sinha2,
1Carleton University and Statistics Canada, 2Carleton University

6:00 8:00 RECEPTION
4351 Herzberg Laboratories
Thursday, May 22
8:30-10:30 On Site Registration, 5050 Minto Centre
Invited session V: Mixed model 1
Chair: Charmaine Dean, Simon Fraser University
9:00-10:00 Prediction of random effects and effects of misspecifying their distribution,
Charles McCulloch, University of California, San Francisco
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Invited session VI: Mixed model 2
Chair: Richard Cook, University of Waterloo
10:30-11:15 GQL inferences in stationary versus non-stationary GLLMs,
Brajendra Sutradhar, Memorial University
11:15-12:00 Misspecifying random effects in generalized linear mixed effects models,
Michel Chavance (speaker) & Sylvie Escolano, INSERM, France
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Contributed session VII: Correlated data applications to survey and clinical data
Chair: Mohamedou Ould-Haye, Carleton University
2:00-2:30 Child birth, labour market transitions, and residential mobility: use of correlatedevent data to introduce heterogeneity in the LifePaths microsimulation model,
Geoff Rowe, Statistics Canada
2:30-3:00 Bias in the estimation of exposure effects with endividual-or group-based exposure assessment
Hyang Mi Kim,1(speaker), David Richardson2, Dana Loomis3, Martie vanTongeren4, and Igor Burstyn5,
1
University of Calgary, 2University of North Carolina, 3University of Nevada, 4Institute of Occupational Medicine,UK, 5University of Alberta
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Contributed session VIII: Statistical Genetics
Chair: Sanjoy Sinha, Carleton University
3:30-4:00 Pedigree complexity and genetic inference via likelihood,
JC Loredo-Osti, Memorial University
4:00-4:30 Latent class model under familial dependence with missing data,
Arafat Tayeb1,2 (speaker), A. Bureau1,3, J. Croteau1, C. Merette1,4 A. Labbe1,2
1Centre de Recherche UL-Robert Giffard, Dept. of 2Math and Stat, ,3Social and Preventive Medicine, and 4Psychiatry, Laval University
6:30 10:30 BANQUET
2017 DUNTON TOWER
Friday, May 23
Invited session IX: Correlated survival data
Chair: Brajendra Sutradhar, Memorial University
9:00-10:00 A copula random effect model for multi-type recurrent events under event-dependent censoring,
Richard Cook, University of Waterloo
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Invited session X: Mixture model and survey data
Chair: Charles McCulloch, University of California, San Francisco
10:30-11:15 Bootstrap methods for analyzing complex sample survey data with dependent structures
J.N.K. Rao, Carleton University
11:15-12:00 Spatio-temporal and mixture models for multi-state processes,
Charmaine Dean, Simon Fraser University
12:00-12:15 Closing remarks - by Patrick Farrell, Carleton University

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