title: Closed-form estimates for missing counts in two-way contingency tables.
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.
authors.affiliation: Biometry Branch, National Cancer Institute, Bethesda, MD 20892.
authors.forename: S G
authors.initials: SG
authors.lastname: Baker
authors.forename: W F
authors.initials: WF
authors.lastname: Rosenberger
authors.forename: R
authors.initials: R
authors.lastname: Dersimonian
mesh_terms: D000465:Algorithms; D000704:Analysis of Variance; D001724:Birth Weight; D016009:Chi-Square Distribution; D003625:Data Collection / Q000592:standards*; D006801:Humans; D016013:Likelihood Functions; D016014:Linear Models; D016017:Odds Ratio; D015203:Reproducibility of Results; D012907:Smoking / Q000453:epidemiology