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SCIENTIFIC PROGRAMS AND ACTIVITIES |
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| November 24, 2024 |
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Symposium
on Dependent Data Structures,
Organizers: Sanjoy Sinha, Patrick Farrell, Chul Park, and Shirley
Mills (Carleton University)
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| 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 |
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| 9:00-9:45 | Data cloning: a simple approach for computing
maximum likelihood estimates for mixed models, Subhash Lele, University of Alberta |
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| 9:45-10:30 | The generalized adjacency criterion in comparative
genomics, David Sankoff, University of Ottawa |
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| ---------------------------------------- COFFEE BREAK---------------------------------------- | ||||
| Contributed session II: Clustered and time
series data Chair: Jason Nielsen, Carleton University |
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| 11:00-11:30 | Methods for clustered/correlated failure time
data Leilei Zeng, Simon Fraser University |
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| 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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| ---------------------------------------- LUNCH BREAK------------------------------------------ | ||||
| Invited session III: Time series with applications
to biology Chair: J.N.K. Rao, Carleton University |
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| 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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| ---------------------------------------- COFFEE BREAK------------------------------------------- | ||||
| Contributed session IV: Categorical data
Chair: Chul Park, Carleton University |
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| 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 |
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| 4:00-4:30 | Association analysis of disease status with
a candidate gene using generalized linear mixed models, Salehin Chowdhury, Carleton University |
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| 4:30 - 5:00 |
Inequality constraints in generalized linear and mixed
models with missing data |
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| 6:00 – 8:00 | RECEPTION 4351 Herzberg Laboratories |
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| 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 |
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| 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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| ---------------------------------------- COFFEE BREAK------------------------------------------ | ||||
| Invited session VI: Mixed model 2 Chair: Richard Cook, University of Waterloo |
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| 10:30-11:15 | GQL inferences in stationary versus
non-stationary GLLMs, Brajendra Sutradhar, Memorial University |
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| 11:15-12:00 | Misspecifying random effects in
generalized linear mixed effects models, Michel Chavance (speaker) & Sylvie Escolano, INSERM, France |
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| ---------------------------------------- LUNCH BREAK-------------------------------------------- | ||||
| Contributed session VII: Correlated data
– applications to survey and clinical data Chair: Mohamedou Ould-Haye, Carleton University |
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| 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 |
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| 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, 1University of Calgary, 2University of North Carolina, 3University of Nevada, 4Institute of Occupational Medicine,UK, 5University of Alberta |
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| ---------------------------------------- COFFEE BREAK-------------------------------------------- | ||||
| Contributed session VIII: Statistical Genetics Chair: Sanjoy Sinha, Carleton University |
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| 3:30-4:00 | Pedigree complexity and genetic
inference via likelihood, JC Loredo-Osti, Memorial University |
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| 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 |
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| 6:30 – 10:30 | BANQUET 2017 DUNTON TOWER |
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| Friday, May 23 | ||||
| Invited session IX: Correlated survival
data Chair: Brajendra Sutradhar, Memorial University |
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| 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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| ---------------------------------------- COFFEE BREAK--------------------------------------------- | ||||
| Invited session X: Mixture model and survey
data Chair: Charles McCulloch, University of California, San Francisco |
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| 10:30-11:15 | Bootstrap methods for analyzing
complex sample survey data with dependent structures J.N.K. Rao, Carleton University |
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| 11:15-12:00 | Spatio-temporal and mixture models
for multi-state processes, Charmaine Dean, Simon Fraser University |
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| 12:00-12:15 | Closing remarks - by Patrick Farrell, Carleton University | |||