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Closed‐form estimates for missing counts in two‐way contingency tables
Author(s) -
Baker Stuart G.,
Rosenberger William F.,
Dersimonian Rebecca
Publication year - 1992
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780110509
Subject(s) - contingency table , missing data , statistics , simple (philosophy) , computer science , mathematics , econometrics , epistemology , philosophy
One method for analyzing contingency tables with missing observations is to model the missing‐data mechanism using log‐linear models. Previous methods for obtaining estimates (of missing counts and parameters) have required an iterative algorithm. In many cases, however, one can obtain estimates by use of a simple algebraic formula. We illustrate the method with data on smoking and birth weight.