Partially parametric techniques for multiple imputation

Computational Statistics and Data Analysis - Tập 22 Số 4 - Trang 425-446 - 1996
Nathaniel Schenker1, Jeremy M. G. Taylor1
1Department of Biostatistics, UCLA School of Public Health, 10833 Le Conte Avenue, Los Angeles, CA 90095-1772, USA

Tóm tắt

Từ khóa


Tài liệu tham khảo

Box, 1973

Breiman, 1984

Dorey, 1993, Multiple imputation for threshold-crossing data with interval censoring, Statist. Med., 12, 1589, 10.1002/sim.4780121706

Efron, 1979, Bootstrap methods: another look at the jackknife, Ann Statist., 7, 1, 10.1214/aos/1176344552

Efron, 1994, Missing Data, imputation, and the bootstrap (with discussion), J. Amer. Statist. Assoc., 89, 463, 10.2307/2290846

Fahey, 1990, The prognostic value of cellular and serologic markers in infection with Human Immunodeficiency Virus Type 1, New England J. Med., 322, 166, 10.1056/NEJM199001183220305

Fay, 1991, A design-based perspective on missing data variance (with discussion), 429

Fay, 1992, When are inferences from multiple imputation valid?, 227

Ford, 1983, An overview of hot-deck procedures, 185

Gelfand, 1990, Sampling-based approaches to calculating marginal densities, J. Amer. Statist. Assoc., 85, 398, 10.2307/2289776

Heitjan, 1991, Multiple imputation for the fatal accident reporting system, App. Statist., 40, 13, 10.2307/2347902

Heitjan, 1994, Assessing secular trends in blood pressure: a multiple-imputation approach, J. Amer. Statist. Assoc., 89, 750, 10.2307/2290900

Heitjan, 1990, Inference from coarse data via multiple imputation with application to age heaping, J. Amer. Statist. Assoc., 85, 304, 10.2307/2289765

Herzog, 1983, Using multiple imputations to handle nonresponse in sample surveys, 209

Kaslow, 1987, The Multicenter AIDS Cohort Study: rationale, organization, and selected characteristics of the participants, Amer. J. Epidemiology, 126, 310, 10.1093/aje/126.2.310

Li, 1989, Regression analysis under link violation, Ann Statist, 17, 1009, 10.1214/aos/1176347254

Li, 1991, Significance levels from repeated p-values with multiply imputed data, Statistica Sinica, 1, 65

Li, 1991, Large-sample significance levels from multiply imputed data using moment-based statistics and an F reference distribution, J. Ameri. Statist. Assoc., 88, 1014

Lin, 1993, Cox regression with incomplete covariate measurements, J. Amer. Statist. Assoc., 88, 1341, 10.2307/2291275

Little, 1988, Missing data adjustments in large surveys (with discussion), J. Bus. Econom. Statist., 6, 287, 10.2307/1391878

Little, 1987

Meng, 1994, Multiple-imputation inferences with uncongenial sources of input (with discussion), Statist. Sci., 9, 538, 10.1214/ss/1177010269

Muñoz, 1989, AIDS free time after HIV-1 seroconversion in homosexual men, Amer. J. Epidemiology, 130, 530, 10.1093/oxfordjournals.aje.a115367

Pepe, 1991, A nonparametric method for dealing with mismeasured covariate data, J. Amer. Statist. Assoc., 86, 108, 10.2307/2289720

Rao, 1992, Jackknife variance estimation with survey data under hot deck imputation, Biometrika, 79, 811, 10.1093/biomet/79.4.811

Reilly, 1993, Data analysis using hot deck multiple imputation, Statistician, 42, 307, 10.2307/2348810

Rosenbaum, 1985, Constructing a control group using multivariate matched sampling methods that incorporate the propensity score, Amer. Statist., 39, 33, 10.2307/2683903

Rubin, 1976, Inference and missing data, Biometrika, 63, 581, 10.1093/biomet/63.3.581

Rubin, 1978, Multiple imputations in sample surveys — a phenomenological Bayesian approach to nonresponse, 20

Rubin, 1986, Statistical matching using file concatenation with adjusted weights and multiple imputations, J. Bus. Econom. Statist. A, 4, 87, 10.2307/1391390

Rubin, 1987

Rubin, 1996, Multiple imputation after 18+ years, J. Amer. Statist. Assoc., 10.2307/2291635

Rubin, 1986, Multiple imputation for interval estimation from simple random samples with ignorable nonresponse, J. Amer. Statist. Assoc., 81, 366, 10.2307/2289225

Rubin, 1987, Interval estimation from multiply-imputed data: a case study using agriculture industry codes, J. Official Statist., 3, 375

Rubin, 1987, Logit-based interval estimation for binomial data using the Jeffreys prior, Sociological Methodology, 17, 131, 10.2307/271031

Rubin, 1991, Multiple imputation in health-care databases: an overview and some applications, Statist. Med., 10, 585, 10.1002/sim.4780100410

Schafer, 1996

Schafer, 1991, Variance estimation with imputed means, 696

Schenker, 1993, Analyses of public-use data with multiply-imputed industry and occupation codes, Appl. Statist., 42, 545, 10.2307/2986331

Scheuren, 1976, Preliminary notes on the partially missing data problem — some (very) elementary considerations

Schieber, 1978, A comparison of three alternative techniques for allocating unreported social security income on the survey of low-income aged and disabled, 212

Silverman, 1986

Taylor, 1990, Estimating the distribution of times from HIV seroconversion to AIDS by multiple imputation, Statist. Med., 9, 505, 10.1002/sim.4780090504