Literature DB >> 1594807

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

S G Baker1, W F Rosenberger, R Dersimonian.   

Abstract

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.

Mesh:

Year:  1992        PMID: 1594807     DOI: 10.1002/sim.4780110509

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  3 in total

1.  A Bayesian Shrinkage Model for Incomplete Longitudinal Binary Data with Application to the Breast Cancer Prevention Trial.

Authors:  C Wang; M J Daniels; D O Scharfstein; S Land
Journal:  J Am Stat Assoc       Date:  2010-12       Impact factor: 5.033

2.  Comparing Multiple Sensitivities and Specificities with Different Diagnostic Criteria: Applications to Sexual Abuse and Sexual Health Research.

Authors:  Q Yu; W Tang; Y Ma; S A Gamble; X M Tu
Journal:  Comput Stat Data Anal       Date:  2008-09       Impact factor: 1.681

3.  A simple method for analyzing data from a randomized trial with a missing binary outcome.

Authors:  Stuart G Baker; Laurence S Freedman
Journal:  BMC Med Res Methodol       Date:  2003-05-06       Impact factor: 4.615

  3 in total

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