JSM 2004 - Toronto

Abstract #302089

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Activity Number: 271
Type: Contributed
Date/Time: Tuesday, August 10, 2004 : 2:00 PM to 3:50 PM
Sponsor: General Methodology
Abstract - #302089
Title: Tests of Independence for Incomplete Contingency Tables
Author(s): Kenneth J. Koehler and Shin-Soo Kang*+
Companies: Iowa State University and KwanDong University
Address: , Kang-won Do, , South Korea
Keywords: fractional imputation ; multiple imputation ; Wald statistics
Abstract:

Imputation procedures such as fully efficient fractional imputation (FEFI) or multiple imputation (MI) can be used to construct complete contingency tables from samples with partially classified responses. Variances of FEFI estimators of population proportions are derived, and Wald and deviance tests of independence are proposed. Simulation results, when data are missing completely at random, reveal that FEFI provides more efficient estimates of population proportions than either MI, based on data augmentation, or complete case analysis, which simply ignores partially classified cases. Neither FEFI nor MI provide more powerful tests of independence than complete case analysis. Comparisons are also made with maximum likelihood estimation of population proportions, using both complete and partially classified cases, and corresponding tests of independence.

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