Measurement Error and Complex Data Workshop

Measurement Error and Complex Data Workshop

April 21-23, 2016 at Rudder Tower, Texas A&M University

Speakers include:

Organizers:

Registration:

The workshop has reached capacity. Please email James Long (jlong + the at symbol + stat.tamu.edu) if you would like to attend.

Local Information:

To get to College Station, you can fly College Station Easterwood Airport (CLL). Alternatively, you can fly to George Bush Intercontinental Airport (IAH) or Hobby Airport (HOU) in Houston, or to Austin-Bergstrom International Airport (AUS), and drive to College Station with a rental car. There is also a shuttle service to and from the Houston airports.

A list of College Station hotels can be found here.

Sponsors:

The workshop is sponsored by TAMU Department of Statistics, the Institute for Applied Mathematics and Computational Science (IAMCS), the School of Public Health, and the South Eastern Chapter of the American Statistical Association (SETCASA).

Program (subject to change)

All abstracts can be viewed here.

Thursday, April 21, 2016 (Rudder 701)

8:00 – 8:45 Registration and Breakfast

8:45 – 9:00 Welcome

9:00 – 10:00 David Ruppert Tutorial 1: Semiparametric Regression with R

10:00 – 10:30 Break

10:30 – 11:30 Aurore Delaigle Tutorial 1: Nonparametric Curve Estimation with Measurement Error

11:30 – 1:00 Lunch

1:00 – 1:30 Raymond Carroll: Building a Data-Based Healthy Eating Index

1:30 – 2:00 Enrique Schisterman: Hybrid Pooled-Unpooled Design for Cost-efficient Measurement of Biomarkers

2:00 – 2:30 Donna Spiegelman: Generalized Methods-of-Moments Estimation and Inference for the Assessment of Multiple Imperfect Measures of Diet and Physical Activity in Validation Studies

2:30 – 3:00 Ying Wei: Recent Development in Handling Missing Data in Quantile Regression

3:00 – 3:30 Break

3:30 – 4:00 Yanyuan Ma: A Validated Information Criterion to Determine the Structural Dimension in Dimension Reduction Models

4:00 – 4:30 Ciprian Crainiceanu: Measurement Error and Shrinkage Approaches for High-dimensional Data

Friday, April 22, 2016 (Rudder 701)

8:00 – 9:00 Registration and Breakfast

9:00 – 10:00 David Ruppert Tutorial 2: Semiparametric Regression with R

10:00 – 10:30 Break

10:30 – 11:30 Aurore Delaigle Tutorial 2: Nonparametric Curve Estimation with Measurement Error

11:30 – 1:00 Lunch

1:00 – 2:00 David Ruppert: A Bayesian Multivariate Functional Dynamic Linear Model

2:00 – 2:30 Charles McCulloch: Diagnostic Methods for Uncovering Informative Visit Processes

2:30 – 3:00 Jessie Edwards: Measurement Error and Causal Inference: Incorporating Measurement Error Into the Potential Outcomes Framework

3:00 – 3:30 Break

3:30 – 4:00 Eric Feigelson: The Challenges of Heteroscedastic Measurement Error in Astronomical Data

4:00 – 4:30 Tom Loredo: Making Sense of the Time-lapse Universe: Light curve Demography via Bayesian Functional Data Analysis

4:30 – 5:00 Jianhua Huang and James Long: Sampler of Interdisciplinary Measurement Error and Complex Data Problems

5:00 – 7:00 Reception in University Club (Rudder 11th Floor)

Saturday, April 23, 2016 (Rudder 701)

8:00 – 9:00 Registration and Breakfast

9:00 – 10:00 David Ruppert Tutorial 3: Semiparametric Regression with R

10:00 – 10:30 Break

10:30 – 11:30 Aurore Delaigle: Nonparametric Covariate-adjusted Regression

11:30 – 1:00 Lunch

1:00 – 1:30 Ana-Maria Staicu: Longitudinal Functional Data Analysis

1:30 – 2:00 Yuanjia Wang: Considerations in Optimizing Personalized Treatments: Estimation and Evaluation in Light of Benefit and Risk

2:00 – 2:30 Break

2:30 – 3:00 Victor Kipnis: Time-Varying Models for Longitudinal Data Measured with Error, with Application to Physical Activity and Sleep

3:00 – 3:30 Naisyin Wang: Utilizing Latent Features Semiparametric Mixed Effects Model to Improve Prediction