Nonparametric Analysis of Randomized Experiments with Missing Covariate and Outcome Data

References

• Angrist , J. , Imbens , G. and Rubin , D. 1996 . “Identification of Causal Effects Using Instrumental Variables,” . Journal of the American Statistical Association , 91 : 444 – 455 .
   Web of Science ®Google Scholar
• Astone , N. M. and McLanahan , S. 1991 . “Family Structure, Parental Practices, and High School Completion,” . American Sociological Review , 56 : 309 – 320 .
   Web of Science ®Google Scholar
• Balke , A. and Pearl , J. 1997 . “Bounds on Treatment Effects from Studies With Imperfect Compliance,” . Journal of the American Statistical Association , 92 : 1171 – 1177 .
   Web of Science ®Google Scholar
• Bickel , P. J. and Freedman , D. A. 1981 . “Some Asymptotic Theory for the Bootstrap,” . The Annals of Statistics , 9 : 1196 – 1217 .
   Web of Science ®Google Scholar
• Bloom , H. 1984 . “Accounting for No-Shows in Experimental Evaluation Designs,” . Evaluation Review , 8 : 225 – 246 .
   Web of Science ®Google Scholar
• Freis , E. D. , Materson , B. J. and Flamenbaum , W. 1983 . “Comparison of Propranolol or Hydrochlorothiazide Alone for Treatment of Hypertension, III: Evaluation of the Renin-Angiotensin System,” . The American Journal of Medicine , 74 : 1029 – 1041 .
   PubMed Web of Science ®Google Scholar
• Hogan , D. P. and Kitagawa , E. M. 1985 . “The Impact of Social Status, Family Structure, and Neighborhood on the Fertility of Black Adolescents,” . American Journal of Sociology , 90 : 825 – 855 .
   Web of Science ®Google Scholar
• Horowitz , J. L. and Manski , C. F. 1995 . “Identification and Robustness with Contaminated and Corrupted Data,” . Econometrica , 63 : 281 – 302 .
   Web of Science ®Google Scholar
• Horowitz , J. L. and Manski , C. F. 1998 . “Censoring of Outcomes and Regressors Due to Survey Nonresponse: Identification and Estimation Using Weights and Imputations,” . Journal of Econometrics , 84 : 37 – 58 .
   Web of Science ®Google Scholar
• Krein , S. F. and Beller , A. H. 1988 . “Educational Attainment of Children From Single-Parent Families: Differences by Exposure, Gender, and Race,” . Demography , 25 : 221 – 234 .
   PubMed Web of Science ®Google Scholar
• Little , R. 1992 . “Regression With Missing X's: A Review,” . Journal of the American Statistical Association , 87 : 1227 – 1237 .
   Web of Science ®Google Scholar
• Little , R. 1995 . “Modeling the Drop-Out Mechanism in Repeated-Measures Studies,” . Journal of the American Statistical Association , 90 : 1112 – 1121 .
   Web of Science ®Google Scholar
• Little , R. and Yao , L. 1996 . “Intent-to-Treat Analysis for Longitudinal Studies With Drop-Outs,” . Biometrics , 32 : 1324 – 1333 .
   Web of Science ®Google Scholar
• Manski , C. F. 1989 . “Anatomy of the Selection Problem,” . Journal of Human Resources , 24 : 343 – 360 .
   Web of Science ®Google Scholar
• Manski , C. F. 1990 . “Nonparametric Bounds on Treatment Effects,” . American Economic Review Papers and Proceedings , 80 : 319 – 323 .
   Web of Science ®Google Scholar
• Manski , C. F. 1995 . Identification Problems in the Social Sciences , Cambridge , MA : Harvard University Press .
   Google Scholar
• Manski , C. F. 1997 . “The Mixing Problem in Programme Evaluation,” . Review of Economic Studies , 64 : 537 – 553 .
   Web of Science ®Google Scholar
• Manski , C. F. , Sandefur , G. D. , McLanahan , S. and Powers , D. 1992 . “Alternative Estimates of the Effect of Family Structure During Adolescence on High School Graduation,” . Journal of the American Statistical Association , 87 : 25 – 37 .
   Web of Science ®Google Scholar
• Materson , B. J. and Reda , D. J. 1994 . “Correction: Single-Drug Therapy for Hypertension in Men,” . The New England Journal of Medicine , 330 : 1689
   PubMed Web of Science ®Google Scholar
• Materson , B. J. , Reda , D. J. and Cushman , W. C. 1995 . “Department of Veterans Affaire Single-Drug Therapy of Hypertension Study: Revised Figures and New Data,” . American Journal of Hypertension , 8 : 189 – 192 .
   PubMed Web of Science ®Google Scholar
• Materson , B. J. , Reda , D. J. , Cushman , W. C. , Massie , B. M. , Freis , E. D. , Kochar , M. S. , Hamburger , R. J. , Fye , C. , Lakshman , R. , Gottdiener , J. , Ramirez , E. A. and Henderson , W. G. 1993 . “Single-Drug Therapy for Hypertension in Men: A Comparison of Six Antihypertensive Agents With Placebo,” . The New England Journal of Medicine , 328 : 914 – 921 .
   PubMed Web of Science ®Google Scholar
• McLanahan , S. and Sandefur , G. D. 1994 . Uncertain Childhood, Uncertain Future , Cambridge , MA : Harvard University Press .
   Google Scholar
• Nordheim , E. V. 1984 . “Inference From Nonrandomly Missing Categorical Data: An Example From a Genetic Study on Turner's Syndrome,” . Journal of the American Statistical Association , 79 : 772 – 780 .
   Web of Science ®Google Scholar
• Robins , J. 1989 . “The Analysis of Randomized and Non-Randomized AIDS Treatment Trials Using a New Approach to Causal Inference in Longitudinal Studies,” . In Health Service Research Methodology: A Focus on AIDS , Edited by: Sechrest , L. , Freeman , H. and Mulley , A. Washington , DC : U.S. Public Health Service .
   Google Scholar
• Robins , J. , Rotnitzky , A. and Zhao , L. 1994 . “Estimation of Regression Coefficients When Some Regressors are not Always Observed,” . Journal of the American Statistical Association , 89 : 846 – 866 .
   Web of Science ®Google Scholar
• Rosenbaum , P. R. 1995 . Observational Studies , New York : Springer-Verlag .
   Google Scholar
• Rotnitzky , A. , Robins , J. M. and Scharfstein , D. O. 1998 . “Semiparametric Regression for Repeated Outcomes With Nonignorable Nonresponse,” . Journal of the American Statistical Association , 93 : 1321 – 1339 .
   Web of Science ®Google Scholar
• Sandefur , G. D. , McLanahan , S. and Wojtkiewicz , R. A. 1989 . “Race, Ethnicity, Family Structure, and High School Graduation,” , Institute for Research on Poverty . Discussion Paper 893–89
   Google Scholar
• Wang , C. , Wang , S. , Zhao , L. and Ou , S. 1997 . “Weighted Semiparametric Estimation in Regression Analysis With Missing Covariate Data,” . Journal of the American Statistical Association , 92 : 512 – 525 .
   Web of Science ®Google Scholar