Annual Report 2005 - Fields Institute - University of Toronto
Annual Report 2005 - Fields Institute - University of Toronto
Annual Report 2005 - Fields Institute - University of Toronto
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Speakers:<br />
Shelley B. Bull and Juan Pablo Lewinger (<strong>Toronto</strong>)<br />
Missing data in family-based genetic association studies<br />
Nilanjan Chatterjee (N.I.H.)<br />
Missing data problems in statistical genetics<br />
Jinbo Chen (N.I.H.)<br />
Semiparametric efficiency and optimal estimation for missing<br />
data problems, with application to auxiliary outcomes<br />
Richard Cook (Waterloo) and Grace Y. Yi (Princess Margaret<br />
Hospital)<br />
Weighted generalized estimating equations for incomplete<br />
clustered longitudinal data<br />
Joe DiCesare (Waterloo)<br />
Estimating diffusions with missing data<br />
Grigoris Karakoulas (<strong>Toronto</strong>)<br />
Mixture-<strong>of</strong>-experts classification under different missing label<br />
mechanisms<br />
Jerry F. Lawless (Waterloo)<br />
Some problems concerning missing data in survival and event<br />
history analysis<br />
Alan Lee (Auckland)<br />
Asymptotic efficiency bounds in semi-parametric regression<br />
models<br />
Roderick Little (Michigan)<br />
Robust likelihood-based analysis <strong>of</strong> multivariate data with<br />
missing values<br />
Don L. McLeish and Cyntha A. Struthers (Waterloo)<br />
Regression with missing covariates: importance sampling and<br />
imputation<br />
Bin Nan (Michigan)<br />
A new look at some efficiency results for semiparametric models<br />
with missing data<br />
Anastesia Nwankwo (Enugu State)<br />
Missing multivariate data in banking computations<br />
James L. Reilly (Auckland)<br />
Multiple imputation and complex survey data<br />
G e n e r a l S c i e n t i f i c A c t i v i t i e s<br />
James Robins (Harvard)<br />
Application <strong>of</strong> a unified theory <strong>of</strong> parametric, semi and nonparametric<br />
statistics based on higher dimensional influence<br />
functions to coarsened at random missing data models<br />
Andrea Rotnitzky (Harvard)<br />
Doubly-robust estimation <strong>of</strong> the area under the operating<br />
characteristic curve in the presence <strong>of</strong> non-ignorable verification<br />
bias<br />
Donald B. Rubin (Harvard)<br />
Multiple imputation for item nonresponse: some current<br />
theory and application to anthrax vaccine experiments at<br />
CDC<br />
Daniel Scharfstein (Johns Hopkins)<br />
Sensitivity analysis for informatively interval-censored discrete<br />
time-to-event data<br />
Tulay Koru-Sengul (Pittsburgh)<br />
The time-varying autoregressive model with covariates for<br />
analyzing longitudinal data with missing values<br />
Alastair Scott (Auckland)<br />
Fitting family-specific models to retrospective family data<br />
Jamie Stafford (<strong>Toronto</strong>)<br />
ICE: Iterated Conditional Expectations<br />
Mary E. Thompson (Waterloo)<br />
Interval censoring <strong>of</strong> event times in the National Population<br />
Health Survey<br />
Chris Wild (Auckland)<br />
Some issues <strong>of</strong> efficiency and robustness<br />
Grace Y. Yi (Princess Margaret Hospital)<br />
Median regression models for longitudinal data with missing<br />
observations<br />
Yang Zhao (Waterloo)<br />
Maximum likelihood methods for regression problems with<br />
missing data<br />
<strong>Fields</strong> <strong>Institute</strong> <strong>2005</strong> ANNUAL REPORT 60
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