Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
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444 | Tue, 8/6/2013, 2:00 PM - 3:50 PM | CC-220bc | |
Contributed Oral Poster Presentations: Survey Research Methods Section — Contributed Poster Presentations | |||
Survey Research Methods Section , Korean International Statistical Society | |||
Chair(s): Joyee Ghosh, The University of Iowa | |||
41: | Validation of Prediction Models in the Presence of Missing Data — Yuanyuan Guo, Baylor University ; Dean M. Young, Baylor University | ||
43: | How Does Online Survey Mode Affect Answers to Customer Feedback Loyalty Surveys? — Aarti Gupta, Bain & Company ; Jason Lee, Bain & Compnay | ||
44: | Imputation Methods for Surveys: A Demonstration of the Impute Procedure in Sudaan — Kimberly Ault, RTI International | ||
45: | Creating Intuitive Editing Interfaces for the Survey of Consumer Finances (SCF) — Richard Windle, Federal Reserve Board | ||
46: | Creating an Automated Edit and Imputation System for the Survey on Quebec Accommodation Establishment Occupancy — Catherine Fontaine, Institut De La Statistique Du Quebec/Statistics Quebec ; Luc Côté, Institut De La Statistique Du Quebec/Statistics Quebec | ||
47: | Estimation of Glomerular Filtration Rate in South Asians: A Study from the General Population in Pakistan — Muhammad Islam, Aga Khan University ; Saleem Jesani, Aga Khan University ; Andrew S. Levey, Tufts Medical Center ; Rasool Bux, Aga Khan University ; Lesley A. Inker, Tufts Medical Center ; Nish Chaturvedi, Imperial College London ; Christophe Mariat, University de Saint-Etienne ; Christopher Schmid, Brown University ; Tazeen H. Jafar, Aga Khan University | ||
48: | Should the Proxy-Respondents Be Surveyed When Assessing the Regular Smoking Initiation Age? — Peng Zhao, University of Nebraska-Lincoln ; Julia Soulakova, University of Nebraska-Lincoln ; Lisa Crockett, University of Nebraska-Lincoln | ||
49: | Weighting Strategy in the Quebec Survey on the Experience of Health Care — Marie-Eve Tremblay, Institut de la statistique du Quebec ; Robert Courtemanche, Institut de la statistique du Quebec | ||
50: | Variance Estimation of the Design Effect — Alberto Padilla | ||
51: | ARIMA and General Regression Neural Network for Forecasting Rice Production in Sri Lanka — Manjari Dissanayake ; Ferry Butar Butar, SHSU | ||
52: | Comparisons of K-Mean and K-Medoid General Regression Neural Network for Handling Missing Data — Janaka Suranga Peragaswaththe Liyanage, Sam Houston State University ; Ferry Butar Butar, SHSU | ||
54: | Methodological Experiences from a Register-Based Census — Ingegerd Jansson, Statistics Sweden ; Claes Andersson, Statistics Sweden ; Peter Werner, Statistics Sweden ; Anders Holmberg, Statistics Sweden ; Karin Lindgren, Statistics Sweden | ||
55: | On Simultaneous Interval Estimating the Relative Prevalence of Forward Shifting in Reported Regular Smoking Initiation Age — Brianna Bright, University of Nebraska-Lincoln ; Julia Soulakova, University of Nebraska-Lincoln | ||
56: | Imputing Ordinal Data with One Predominate Category — Darryl Creel | ||
57: | Web Collection in the Quarterly Census of Employment and Wages Program — John Peters, Bureau of Labor Statistics | ||
58: | Use of R-Indicators to Assess Survey Response Representativeness — Jared Coopersmith, Mathematica Policy Research | ||
59: | The Impact on Response Rates of Adding a Survey Supplement — Holly Shulman, Centers for Disease Control and Prevention | ||
60: | Model-Based Methods for Missing Data in Surveys with Post-Stratification Information — Sahar Zangeneh, Fred Hutchinson Cancer Research Center ; Roderick J. Little, University of Michigan | ||
61: | Bootstrap Estimation of Variance from ROC Curve Analysis of Complex NHANES Survey Data — Rey DeCastro, CDC/National Center for Environmental Health ; Yang Xia, CDC NCEH ; Connie Sosnoff, CDC NCEH ; Lee-Yang Wong, CDC NCEH | ||
62: | 2012 NHANES National Youth Fitness Survey — Vicki Burt, NCHS | ||
63: | Analyzing Student Perceptions of Teaching with Quantile Regression — Kellie Keeling, University of Denver ; Robert Pavur, Univ of North Texas | ||
64: | Effects of Response Format on Race and Ethnicity Measurement in the U.S. — Randall Thomas, GfK Custom Research ; Frances Barlas, ICF International ; Bill Cook, Advertising Research Foundation ; Wendy Gross, GfK Custom Research | ||
65: | What Makes Us Exploit the Community? The Influence of Individual Characteristics on Committing Tax Evasion and Insurance Fraud — Ivar Krumpal, University of Leipzig | ||
66: | Restricted Latent Class Multiple Imputation Method of Categorical Missing Data — Qiao Ma, University of Nebraska - Lincoln | ||
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