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Semiparametric Approach for Non-Monotone Missing Covariates in a Parametric Regression Model

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dc.contributor.authorSinha, Samiran
dc.contributor.authorSaha, Krishna
dc.contributor.authorWang, Suojin
dc.date.accessioned2015-12-08T22:17:49Z
dc.date.available2015-12-08T22:17:49Z
dc.date.issued2014
dc.date.updated2016-06-14T09:13:26Z
dc.identifier.issn0006-341X
dc.identifier.urihttp://hdl.handle.net/1885/31064
dc.publisherInternational Biometrics Society
dc.sourceBiometrics
dc.titleSemiparametric Approach for Non-Monotone Missing Covariates in a Parametric Regression Model
dc.typeJournal article
local.bibliographicCitation.lastpage311
local.bibliographicCitation.startpage299
local.contributor.affiliationSinha, Samiran, Department of Statistics, Texas A&M University, College Station, Texas 77843, U.S.A.
local.contributor.affiliationSaha, Krishna, Department of Mathematical Sciences, Central Connecticut State University, New Britain, Connecticut 06050, U.S.A.
local.contributor.affiliationWang, Suojin, College of Physical and Mathematical Sciences, ANU
local.contributor.authoruidWang, Suojin, u5466990
local.description.notesImported from ARIES
local.identifier.absfor010406 - Stochastic Analysis and Modelling
local.identifier.absseo970101 - Expanding Knowledge in the Mathematical Sciences
local.identifier.ariespublicationu5328909xPUB79
local.identifier.citationvolume70
local.identifier.doi10.1111/biom.12159
local.identifier.scopusID2-s2.0-84902344505
local.type.statusPublished Version

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