Accession Number : ADA323222
Title : Sensitivity Analysis for Pearson-Lawley Corrections in the Context of Nonignorable Missingness,
Corporate Author : JOHNS HOPKINS UNIV BALTIMORE MD
Personal Author(s) : Liu, Guanghan ; Muthen, Bengt
PDF Url : ADA323222
Report Date : 29 AUG 1994
Pagination or Media Count : 32
Abstract : We consider a model sensitivity problem of a dependent variable on several exogenous variables while the dependent variable has some missing data. Under certain assumptions on the model of selected sample and on the selection mechanism, a mixture model is derived and some statistical properties are discussed. This model gives a way to derive Pearson Lawley (PL) correction formula for the covariance matrix and leads to a modification when the missingness is not ignorable. A sensitivity analysis is then discussed for the PL method. Finally, this modified PL method is applied to a real data set from Project A of Office of Naval Research. The results show some difference from that of using Pearson-Lawley method or of using listwise deletion.
Descriptors : *MATHEMATICAL MODELS, *SENSITIVITY, *VARIABLES, *STATISTICAL ANALYSIS, DATA BASES, MATRICES(MATHEMATICS), MIXTURES, COVARIANCE, SELECTION, CORRECTIONS, FORMULAS(MATHEMATICS).
Subject Categories : Numerical Mathematics
Distribution Statement : APPROVED FOR PUBLIC RELEASE