Closed-form estimates for missing counts in two-way contingency tables

Closed-form estimates for missing counts in two-way contingency tables

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...

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Veröffentlicht in:Statistics in medicine 1992, Vol.11 (5), p.643-657
Hauptverfasser: Baker, Stuart G., Rosenberger, William F., Dersimonian, Rebecca
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Analysis of Variance
Birth Weight
Chi-Square Distribution
Data Collection - standards
Humans
Likelihood Functions
Linear Models
Odds Ratio
Reproducibility of Results
Smoking - epidemiology
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container_title Statistics in medicine
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creator Baker, Stuart G.
Rosenberger, William F.
Dersimonian, Rebecca
description 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.
doi_str_mv 10.1002/sim.4780110509
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subjects Algorithms
Analysis of Variance
Birth Weight
Chi-Square Distribution
Data Collection - standards
Humans
Likelihood Functions
Linear Models
Odds Ratio
Reproducibility of Results
Smoking - epidemiology
title Closed-form estimates for missing counts in two-way contingency tables
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