SCIENTIFIC PROGRAMS AND ACTIVITIES

September  2, 2014

Workshop on Missing Data Problems
August 5-6, 2004

Schedule

Thursday August 5 held at the Fields Institute Room 230
  Session Chair: McLeish/Cook
8:45

Little, R. J. A.
Robust likelihood-based analysis of multivariate data with missing values

9:30 Discussion
9:45 Coffee
  Session Chair: Wild
10:00
Scott, A.
Fitting family-specific models to retrospective family data
10:30
Chatterjee, N.
Missing Data Problems in Statistical Genetics
11:00
Bull, S. (co-presenting with Juan Pablo Lewinger)
Missing Data in Family-Based Genetic Association Studies
11:30
Cook, R. and Yi, G.
Weighted Generalized Estimating Equations for Incomplete Clustered Longitudinal Data
12:00 Discussion
12:15 Lunch
 

Session Chair: R. Cook

1:15
Stafford, J.
ICE: Iterated Conditional Expectations
1:45
Thompson, M. E.
Interval censoring of event times in the National Population Health Survey
2:15
Scharfstein, D.
Sensitivity Analysis for Informatively Interval-Censored Discrete Time-to-Event Data
2:45
Yi, G. Y.
Median Regression Models for Longitudinal Data with Missing Observations
3:15 Coffee
3:30 Session Chair:Alan Lee
Wild, C.
Some issues of efficiency and robustness
4:00
McLeish, D. L. & Struthers, C.A.
Regression with Missing Covariates: Importance Sampling and Imputation
4:30
Rotnitzky, A.
Doubly-robust estimation of the area under the operating characteristic curve in the presence of non-ignorable verification bias
5:15 Discussion

5:30

Wine and Cheese at Fields
Friday August 6
held at the Bahen Centre, Room 1180
8:45 Session Chair: R.J.A. Little
Rubin, D. B.
Multiple Imputation for Item Nonresponse: Some Current Theory and
Application to Anthrax Vaccine Experiments at CDC

9:30 Discussion
9:45 Coffee
 
Session Chair:A. Scott
10:00
Lawless, J.F.
Some Problems Concerning Missing Data in Survival and Event History Analysis
10:30
Lee, A.
Asymptotic Efficiency Bounds in Semi-Parametric Regression Models
11:00
Chen, Jinbo (NIH)
Semiparametric efficiency and optimal estimation for missing data problems, with application to auxiliary outcomes
11:30
Nan, B.
A new look at some efficiency results for semiparametric models with missing data
12:00 Discussion
12:15 Lunch
 

Session Chair:Grace Yi

1:30

Reilly, J.
Multiple Imputation and Complex Survey Data

1:55
DiCesare, J.
Estimating Diffusions with Missing Data
2:20
Koru-Sengul, T.
The Time-Varying Autoregressive Model With Covariates For Analyzing Longitudinal Data With Missing Values
2:45
Zhao, Y.
Maximum likelihood Methods for Regression Problems with Missing Data
3:10
Karakoulas, G.
Mixture-of-Experts Classification under Different Missing Label Mechanisms
3:35 Coffee

 

Session Chair:Cook/McLeish

4:00

Robins, J.
Application of a Unified Theory of Parametric, Semi , and Nonparametric Statistics Based On Higher Dimensional Influence Functions to Coarsened at Random Missing Data Models

4:45 Discussion
5:30 Mixer and Dinner
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