The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Nonparametric Analysis of Randomized Experiments with Missing Covariate and Outcome Data
Abstract
Analysis of randomized experiments with missing covariate and outcome data is problematic, because the population parameters of interest are not identified unless one makes untestable assumptions about the distribution of the missing data. This article shows how population parameters can be bounded without making untestable distributional assumptions. Bounds are also derived under the assumption that covariate data are missing completely at random. In each case the bounds are sharp; they exhaust all of the information available given the data and the maintained assumptions. The bounds are illustrated with applications to data obtained from a clinical trial and data relating family structure to the probability that a youth graduates from high school.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Identification of Causal Effects Using Instrumental Variables
Angrist, J. D., Imbens, G. W., & Rubin, D. B. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476902 · Cited by 4,230
Modeling the Drop-Out Mechanism in Repeated-Measures Studies
Little, R. J. A. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476615 · Cited by 1,522
Accounting for No-Shows in Experimental Evaluation Designs
Bloom, H. S. (1984) · Evaluation Review · doi:10.1177/0193841x8400800205 · Cited by 532 · cited 1×
“The identifiability of treatment effects within the subpopulation of persons who comply with treatment has been also studied (Bloom 1984; Angrist, Imbens, and Rubin 1996).”
Background
Research works printed but not linked: 26
- 10.2307/2096106 · DOI · Paper page
- 10.1080/01621459.1997.10474074 · DOI · Paper page
- 10.1214/aos/1176345637 · DOI · Paper page
- Freis E. D., 1983, The American Journal of Medicine, 74, 1029, 10.1016/0002-9343(83)90812-4 · DOI
- 10.1086/228146 · DOI · Paper page
- 10.2307/2951627 · DOI · Paper page
- Horowitz J. L., 1998, Journal of Econometrics, 84, 37, 10.1016/S0304-4076(97)00077-8 · DOI · Paper page
- 10.2307/2061290 · DOI · Paper page
- 10.2307/2290664 · doi:10.2307/2290664 · Paper page
- Little R., 1996, Biometrics, 32, 1324, 10.2307/2532847 · DOI · Paper page
- 10.2307/145818 · DOI · Paper page
- Manski C. F., 1990, American Economic Review Papers and Proceedings, 80, 319
- Manski C. F., 1995, Identification Problems in the Social Sciences
- 10.2307/2971730 · DOI
- 10.1080/01621459.1992.10475171 · DOI · Paper page
- Materson B. J., 1994, The New England Journal of Medicine, 330, 1689, 10.1056/NEJM199406093302316 · doi:10.1056/nejm199406093302316
- Materson B. J., 1995, American Journal of Hypertension, 8, 189, 10.1016/0895-7061(94)00196-I · DOI
- Materson B. J., 1993, The New England Journal of Medicine, 328, 914, 10.1056/NEJM199304013281303 · DOI · Paper page
- McLanahan S., 1994, Uncertain Childhood, Uncertain Future
- 10.1080/01621459.1984.10477094 · DOI
- Robins J., 1989, Health Service Research Methodology: A Focus on AIDS
- 10.1080/01621459.1994.10476818 · DOI · Paper page
- Rosenbaum P. R., 1995, Observational Studies, 10.1007/978-1-4757-2443-1 · DOI · Paper page
- 10.1080/01621459.1998.10473795 · DOI · Paper page
- Sandefur G. D., 1989, “Race, Ethnicity, Family Structure, and High School Graduation,”
- 10.1080/01621459.1997.10474004 · DOI
Cited by
Recent Developments in the Econometrics of Program Evaluation
Imbens, G. W., & Wooldridge, J. M. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.1.5 · Cited by 4,926
Regression discontinuity designs in economics
Lee, D. S., & Lemieux, T. (2010) · Journal of Economic Literature · doi:10.1257/jel.48.2.281 · Cited by 4,534
A multifaceted program causes lasting progress for the very poor: Evidence from six countries
Banerjee, A., Duflo, E., Goldberg, N., Karlan, D., Osei, R., Parienté, W., Shapiro, J., Thuysbaert, B., & Udry, C. (2015) · Science · doi:10.1126/science.1260799 · Cited by 1,075
Administrative Records Mask Racially Biased Policing
KNOX, D., LOWE, W., & MUMMOLO, J. (2020) · American Political Science Review · doi:10.1017/s0003055420000039 · Cited by 314
Murphy, M. C., Gopalan, M., Carter, E. R., Emerson, K. T. U., Bottoms, B. L., & Walton, G. M. (2020) · Science Advances · doi:10.1126/sciadv.aba4677 · Cited by 214
Metadata
- Authors
- Horowitz, J. L., & Manski, C. F.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 2000-03
- Volume
- 95
- Issue
- 449
- Pages
- 77-84
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W1997753419
- Cited by
- 427
- References
- 3
- FWCI
- 7.13
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Nonparametric Analysis of Randomized Experiments with Missing Covariate and Outcome Data. https://app.cochat.ai/papers/10.1080/01621459.2000.10473902
- The paper
- Horowitz, J. L., & Manski, C. F. (2000). Nonparametric Analysis of Randomized Experiments with Missing Covariate and Outcome Data. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.2000.10473902
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
