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Two‐Sample Problems for a Dichotomous Variable with Missing Data
Author(s) -
Elashoff Janet Dixon,
Elashoff R. M.
Publication year - 1974
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2347050
Subject(s) - missing data , variable (mathematics) , sample (material) , statistics , sample size determination , mathematics , computer science , econometrics , physics , mathematical analysis , thermodynamics
Summary Two‐sample problems with dichotomous data are considered; probability models which generate missing data are proposed. The statistical techniques appropriate under each model for missing data are discussed and evaluated. Results indicate that inferences based on the estimation of the odds ratio p 1 (1 ‐ p 2 )/ p 2 (1 ‐ p 1 ) are more robust to non‐randomly missing data than inferences based on estimation of more standard measures such as p 1 ‐ p 2 or p 1 / p 2 .