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Multiple imputation : How it began and continuesSCHEUREN, Fritz.The American statistician. 2005, Vol 59, Num 4, pp 315-319, issn 0003-1305, 5 p.Article

Methods for the analysis of explanatory linear regression models with missing data not at random = Méthodes pour l'analyse des modèles exploratoires de régression linéaire avec données manquantes non aléatoiresBLAS NAVARRO PASTOR, José.Quality & quantity. 2003, Vol 37, Num 4, pp 363-376, issn 0033-5177, 14 p.Article

Utilising recent advancements in techniques for the analysis of incomplete multivariate data to improve the data quality management of current academic research = Utilisation des récentes avancées des techniques pour l'analyse des données multivariées incomplètes dans le but d'améliorer la gestion de la qualité des données produites par la recherche universitaire actuelleFOGARTY, David J; BLAKE, John.Quality & quantity. 2002, Vol 36, Num 3, pp 277-289, issn 0033-5177, 13 p.Article

Multiple imputation for combining confidential data owned by two agenciesKOHNEN, Christine N; REITER, Jerome P.Journal of the Royal Statistical Society. Series A. Statistics in society (Print). 2009, Vol 172, pp 511-528, issn 0964-1998, 18 p., 2Article

The use of multiple imputation for the analysis of missing data : New approaches to missing dataSINHARAY, Sandip; STERN, Hal S; RUSSELL, Daniel et al.Psychological methods. 2001, Vol 6, Num 4, pp 317-329, issn 1082-989XArticle

Using Multiple Imputation to Integrate and Disseminate Confidential MicrodataREITER, Jerome P.International statistical review. 2009, Vol 77, Num 2, pp 179-195, issn 0306-7734, 17 p.Article

Selecting the number of imputed datasets when using multiple imputation for missing data and disclosure limitationREITER, Jerome P.Statistics & probability letters. 2008, Vol 78, Num 1, pp 15-20, issn 0167-7152, 6 p.Article

Including multiple imputation in a sensitivity analysis for clinical trials with treatment failuresSHATTER, Michele L; CHINCHILLI, Vernon M.Contemporary clinical trials. 2007, Vol 28, Num 2, pp 130-137, issn 1551-7144, 8 p.Article

Multiple imputation scheme for overcoming the missing values and variability issues in ITS dataDAIHENG NI; LEONARD, John D; GUIN, Angshuman et al.Journal of transportation engineering. 2005, Vol 131, Num 12, pp 931-938, issn 0733-947X, 8 p.Article

Analyses of public use decennial census data with multiply imputed industry and occupation codesSCHENKER, N; TREIMAN, D. J; WEIDMAN, L et al.Applied statistics. 1993, Vol 42, Num 3, pp 545-556, issn 0035-9254Article

ASSESSING UNCERTAINTY IN THE AMERICAN INDIAN TRUST FUNDMULROW, Edward; SHIN, Hee-Choon; SCHEUREN, Fritz et al.The Annals of applied statistics. 2009, Vol 3, Num 4, pp 1370-1381, issn 1932-6157, 12 p.Article

Calibrated random imputation for qualitative dataFAVRE, Anne-Catherine; MATEI, Alina; TILLE, Yves et al.Journal of statistical planning and inference. 2005, Vol 128, Num 2, pp 411-425, issn 0378-3758, 15 p.Article

Asymptotic results for multiple imputationSCHENKER, N; WELSH, A. H.Annals of statistics. 1988, Vol 16, Num 4, pp 1550-1566, issn 0090-5364Article

Les enquêtes cas―cohorte = Case―cohort surveysMARTI, H; CHAVANCE, M.Revue d'épidémiologie et de santé publique. 2013, Vol 61, Num 1, pp 67-74, issn 0398-7620, 8 p.Article

Releasing multiply imputed, synthetic public use microdata: an illustration and empirical studyREITER, Jerome P.Journal of the Royal Statistical Society. Series A. Statistics in society (Print). 2005, Vol 168, pp 185-205, issn 0964-1998, 21 p., 1Article

Incidence of Missing Item Scores in Personality Measurement, and Simple Item-Score ImputationVAN GINKEL, Joost R; SIJTSMA, Klaas; VAN DER ARK, L. Andries et al.Methodology (Göttingen. Print). 2010, Vol 6, pp 17-30, issn 1614-1881, 14 p.Conference Paper

Fractional hot deck imputationJAE KWANG KIM; FULLER, Wayne.Biometrika. 2004, Vol 91, Num 3, pp 559-578, issn 0006-3444, 20 p.Article

Multiple imputation after 18+ yearsRUBIN, D. B.Journal of the American Statistical Association. 1996, Vol 91, Num 434, pp 473-489, issn 0162-1459Article

Assessing secular trends in blood pressure : a multiple-imputation approachHEITJAN, D. F; LANDIS, J. R.Journal of the American Statistical Association. 1994, Vol 89, Num 427, pp 750-759, issn 0162-1459Article

L'imputation multiple des données manquantes aléatoirement: concepts généraux et présentation d'une méthode Monte-Carlo = Multiple imputation of missing at random data: General points and presentation of a Monte-Carlo methodCOTTRELL, G; COT, M; MARY, J.-Y et al.Revue d'épidémiologie et de santé publique. 2009, Vol 57, Num 5, pp 361-372, issn 0398-7620, 12 p.Article

Comparison of Two Approaches for Handling Missing Covariates in Logistic RegressionPENG, Chao-Ying Joanne; JIN ZHU.Educational and psychological measurement. 2008, Vol 68, Num 1, pp 58-77, issn 0013-1644, 20 p.Article

Multiple imputation: Theory and methodZHANG, Paul.International statistical review. 2003, Vol 71, Num 3, pp 581-592, issn 0306-7734, 12 p.Article

New approaches to missing data in Psychological research: Introduction to the special section : New approaches to missing dataWEST, Stephen G.Psychological methods. 2001, Vol 6, Num 4, pp 315-316, issn 1082-989XArticle

Characterizing Sources of Uncertainty in Item Response Theory Scale ScoresJI SEUNG YANG; HANSEN, Mark; LI CAI et al.Educational and psychological measurement. 2012, Vol 72, Num 2, pp 264-290, issn 0013-1644, 27 p.Article

The Impact of Missing Data on the Detection of Nonuniform Differential Item FunctioningHOLMES FINCH, W.Educational and psychological measurement. 2011, Vol 71, Num 4, pp 663-683, issn 0013-1644, 21 p.Article

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