Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
|
Keyword Search Criteria: Bias returned 26 record(s)
|
|
Monday, 08/01/2016
|
The Orthogonally Partitioned EM Algorithm: Extending the EM Algorithm for Algorithmic Stability and Bias Correction Due to Imperfect Data
Michael Regier, West Virginia University; Erica E. M. Moodie, McGill University
|
A Simple Fix for Bias Due to a Latent/Mismeasured Covariate in Propensity Score Weighting Analysis: Factor Scores from Models Inclusive Treatment and Other Covariates
Trang Q. Nguyen, Johns Hopkins Bloomberg School of Public Health; Cyrus Ebnesajjad, Johns Hopkins Bloomberg School of Public Health; Hwanhee Hong, Johns Hopkins Bloomberg School of Public Health; Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
10:50 AM
|
Overcoming Bias and Batch Effects in RNAseq Data
Michael I. Love, Harvard T.H. Chan School of Public Health; Rafael A. Irizarry, Dana-Farber Cancer Institute
11:00 AM
|
On the Problem of Bias and Variance Amplification of the Instrumental Calibration Estimator in the Presence of Unit Nonresponse
David Haziza, Université de Montréal; Éric Lesage, INSEE; Xavier D'Haultfoeuille, CREST/ENSAE
11:25 AM
|
The Orthogonally Partitioned EM Algorithm: Extending the EM Algorithm for Algorithmic Stability and Bias Correction Due to Imperfect Data
Michael Regier, West Virginia University; Erica E. M. Moodie, McGill University
12:15 PM
|
Randomization does not prevent bias when we assess treatment by covariate interaction
Lei Nie, FDA; Zhiwei Zhang, FDA/CDRH; Jialu Zhang, FDA
2:05 PM
|
|
Tuesday, 08/02/2016
|
Quantifying Power and Bias in Cluster-Randomized Trials Using Mixed Models Versus Cluster-Level Analysis in the Presence of Missing Data: A Simulation Study
Brenda Vincent, University of Arizona; Melanie L. Bell, University of Arizona
|
Ratio of Vector Lengths as an Indicator of Sample Representativeness
Hee-Choon Shin, CDC/NCHS
11:35 AM
|
Bias Correction for Biomarker Threshold Studies
Li Liu, Sanofi; Glen Laird, Sanofi
11:50 AM
|
Adapting Responsive Design Strategies in a Recurring Adult Literacy Assessment
Minsun Riddles, Westat; Tom Krenzke, Westat
2:20 PM
|
On the Widespread and Critical Impact of Systematic Bias and Batch Effects in Single-Cell RNA-Seq Data
Stephanie C. Hicks, Dana-Farber Cancer Institute/Harvard T.H. Chan School of Public Health; Mingxiang Teng, Dana-Farber Cancer Institute/Harvard T.H. Chan School of Public Health; Rafael A. Irizarry, Dana-Farber Cancer Institute
3:20 PM
|
Two-Stage Procedure for Fixed-Width Confidence Intervals of the Risk Ratio
Hokwon Cho, University of Nevada, Las Vegas
3:20 PM
|
|
Wednesday, 08/03/2016
|
Using official surveys to reduce bias of estimates from nonrandom samples collected by web surveys
Vladislav Beresovsky, CDC/NCHS; Alan Dorfman, CDC/NCHS; Pavlina Rumcheva, CDC/NCHS
|
Using official surveys to reduce bias of estimates from nonrandom samples collected by web surveys
Vladislav Beresovsky, CDC/NCHS; Alan Dorfman, CDC/NCHS; Pavlina Rumcheva, CDC/NCHS
9:05 AM
|
Detecting and Correcting Publication Bias in Legal Cases
Edward K. Cheng, Vanderbilt University
10:35 AM
|
Bias Correction in Modeling Confounded Age, Period, and Cohort Effects
Martina Fu, Stanford University
11:55 AM
|
Effects of Nonresponse Bias Adjustments on Survey Estimates of Health Conditions and Behaviors in a Community Sample in Chicago
Linda K. Owens, Survey Research Laboratory; Timothy Johnson, University of Illinois at Chicago; Jerry Krishnan, University of Illinois at Chicago
2:05 PM
|
Collecting Proxy Measures of Key Survey Variables to Estimate, Reduce, and Adjust for Nonresponse Bias
Emilia Peytcheva, RTI International; Andy Peytchev, University of Michigan; Matt Jans, University of California at Los Angeles
2:20 PM
|
Bias Reduction in Logistic Regression with Missing Responses When the Missing-Data Mechanism Is Nonignorable
Vivek Pradhan, Pfizer; Arnab Maity, Northern Illinois University
3:05 PM
|
|
|
