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