Fetching the paper…
Reading the bibliography…
We consider identification and estimation with an outcome missing not at random (MNAR).
[author] Horvitz, Daniel GD. G. and Thompson, Donovan JD. J. (1952). A generalization of sampling without replacement from a finite universe. Journal of the American Statistical Association 47 663-685
1952
Earlier work this paper cites.
[author] Rothenberg, Thomas JT. J. (1971). Identification in parametric models. Econometrica: Journal of the Econometric Society 577–591
1971
Earlier work this paper cites.
[author] Rubin, Donald BD. B. (1976). Inference and missing data (with discussion). Biometrika 63 581-592
1976
Earlier work this paper cites.
[author] Dempster, Arthur PA. P., Laird, Nan MN. M. and Rubin, Donald BD. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society. Series B (Methodological) 39 1-38
1977
Earlier work this paper cites.
[author] Heckman, James JJ. J. (1979). Sample selection bias as a specification error. Econometrica 47 153-161
1979
Earlier work this paper cites.
[author] Greenlees, John SJ. S., Reece, William SW. S. and Zieschang, Kimberly DK. D. (1982). Imputation of missing values when the probability of response depends on the variable being imputed. Journal of the American Statistical Association 77 251-261
1982
Earlier work this paper cites.
[author] Sun, BaoLuoB., Liu, LanL., Miao, WangW., Wirth, KathleenK., Robins, JamesJ. and Tchetgen Tchetgen, EricE. (2018). Semiparametric Estimation With Data Missing Not at Random Using an Instrumental Variable. Statistica Sinica 28 1965–1983
1983
Earlier work this paper cites.
[author] Fay, Robert ER. E. (1986). Causal models for patterns of nonresponse. Journal of the American Statistical Association 81 354-365
1986
Earlier work this paper cites.
[author] Rubin, Donald BD. B. (1987). Multiple Imputation for Nonresponse in Surveys. Wiley, New York
1987
Earlier work this paper cites.
[author] Schenker, NathanielN. and Welsh, AHA. (1988). Asymptotic results for multiple imputation. The Annals of Statistics 1550-1566
1988
Earlier work this paper cites.
[author] Zahner, Gwendolyn EPG. E., Pawelkiewicz, WalterW., DeFrancesco, John JJ. J. and Adnopoz, JeanJ. (1992). Children’s mental health service needs and utilization patterns in an urban community: an epidemiological assessment. Journal of the American Academy of Child & Adolescent Psychiatry 31 951-960
1992
Earlier work this paper cites.
[author] Bickel, Peter JP. J., Klaassen, Chris A JC. A. J., Ritov, YA’AcovY. and Wellner, Jon AJ. A. (1993). Efficient and Adaptive Estimation for Semiparametric Models. Baltimore: Johns Hopkins University Press
1993
Earlier work this paper cites.
[author] Little, Roderick JAR. J. (1993). Pattern-mixture models for multivariate incomplete data. Journal of the American Statistical Association 88 125-134
1993
Earlier work this paper cites.
[author] Little, Roderick JAR. J. (1994). A class of pattern-mixture models for normal incomplete data. Biometrika 81 471-483
1994
Earlier work this paper cites.
[author] Newey, Whitney KW. K. (1994). The asymptotic variance of semiparametric estimators. Econometrica 1349–1382
1994
Earlier work this paper cites.
[author] Newey, Whitney KW. K. and McFadden, DanielD. (1994). Large sample estimation and hypothesis testing. In Handbook of Econometrics, (R. F.R. F. Engle and D. L.D. L. McFadden, eds.) 4 2111–2245. Elsevier, Amsterdam
1994
Earlier work this paper cites.
[author] Rotnitzky, AA. and Robins, JMJ. (1997). Analysis of semi-parametric regression models with non-ignorable non-response. Statistics in Medicine 16 81–102
1997
Earlier work this paper cites.
[author] Rotnitzky, AndreaA., Robins, JamesJ. and Scharfstein, Daniel OD. O. (1998). Semiparametric regression for repeated outcomes with nonignorable nonresponse. Journal of the American Statistical Association 93 1321-1339
1998
Earlier work this paper cites.
[author] Scharfstein, Daniel OD. O., Rotnitzky, AndreaA. and Robins, JamesJ. (1999). Adjusting for nonignorable drop-out using semiparametric nonresponse models. Journal of the American Statistical Association 94 1096-1120
1999
Cited alongside, same era.
[author] Robins, JamesJ., Rotnitzky, AndreaA. and Scharfstein, Daniel OD. O. (2000). Sensitivity analysis for selection bias and unmeasured confounding in missing data and causal inference models. In Statistical Models in Epidemiology, the Environment, and Clinical Trials 1-94. Springer
2000
Cited alongside, same era.
[author] Ibrahim, Joseph GJ. G., Lipsitz, Stuart RS. R. and Horton, NickN. (2001). Using auxiliary data for parameter estimation with non-ignorably missing outcomes. Journal of the Royal Statistical Society: Series C (Applied Statistics) 50 361-373
2001
Cited alongside, same era.
[author] Robins, JamesJ. and Rotnitzky, AndreaA. (2001). Comment on the Bickel and Kwon article, ”On double robustness”. Statistica Sinica 920–936
2001
[author] D’Haultfœuille, XavierX. (2011). On the completeness condition in nonparametric instrumental problems. Econometric Theory 27 460–471
2011
Later among the works it cites.
[author] Kim, Jae KwangJ. K. and Yu, Cindy LongC. L. (2011). A semiparametric estimation of mean functionals with nonignorable missing data. Journal of the American Statistical Association 106 157–165
2011
Later among the works it cites.
[author] Kott, Phillip S.P. S. (2014). Calibration Weighting When Model and Calibration Variables Can Differ. In Contributions to Sampling Statistics (FulviaF. Mecatti, Luigi PierL. P. Conti and Giovanna MariaG. M. Ranalli, eds.) 1-18. Springer, Cham
2014
Later among the works it cites.
[author] Tang, NianshengN., Zhao, PuyingP. and Zhu, HongtuH. (2014). Empirical likelihood for estimating equations with nonignorably missing data. Statistica Sinica 24 723–747
2014
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
[author] Chen, Hua YunH. Y. (2003). A note on the prospective analysis of outcome-dependent samples. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 65 575–584
2003
Cited alongside, same era.
[author] Das, MitaliM., Newey, Whitney KW. K. and Vella, FrancisF. (2003). Nonparametric estimation of sample selection models. The Review of Economic Studies 70 33-58
2003
Cited alongside, same era.
[author] Ma, Wen QingW. Q., Geng, ZhiZ. and Hu, Yong HuaY. H. (2003). Identification of graphical models for nonignorable nonresponse of binary outcomes in longitudinal studies. Journal of Multivariate Analysis 87 24-45
2003
Cited alongside, same era.
[author] Newey, Whitney KW. K. and Powell, James LJ. L. (2003). Instrumental variable estimation of nonparametric models. Econometrica 71 1565–1578
2003
Cited alongside, same era.
[author] Scharfstein, Daniel OD. O. and Irizarry, Rafael AR. A. (2003). Generalized additive selection models for the analysis of studies with potentially nonignorable missing outcome data. Biometrics 59 601-613
2003
Cited alongside, same era.
[author] Van der Laan, Mark JM. J. and Robins, JamesJ. (2003). Unified Methods for Censored Longitudinal Data and Causality. Springer, New York
2003
Cited alongside, same era.
[author] Chen, Hua YunH. Y. (2004). Nonparametric and semiparametric models for missing covariates in parametric regression. Journal of the American Statistical Association 99 1176–1189
2004
Cited alongside, same era.
[author] Osius, GerhardG. (2004). The association between two random elements: A complete characterization and odds ratio models. Metrika 60 261–277
2004
Cited alongside, same era.
[author] Wang, ShengS., Shao, JunJ. and Kim, Jae KwangJ. K. (2014). An instrumental variable approach for identification and estimation with nonignorable nonresponse. Statistica Sinica 24 1097-1116
2014
Later among the works it cites.
2015
Closest in time.
[author] Miao, WangW. and Tchetgen Tchetgen, EricE. (2016). On varieties of doubly robust estimators under missingness not at random with a shadow variable. Biometrika 103 475–482
2016
Closest in time.
[author] Morikawa, KosukeK. and Kim, Jae KwangJ. K. (2016). Semiparametric optimal estimation with nonignorable nonresponse data
2016
Closest in time.
[author] Miao, WangW., Ding, PengP. and Geng, ZhiZ. (2017). Identifiability of normal and normal mixture models with nonignorable missing data. Journal of the American Statistical Association 111 1673–1683
2017
Closest in time.
[author] Tchetgen Tchetgen, EricE. and Wirth, Kathleen EK. E. (2017). A general instrumental variable framework for regression analysis with outcome missing not at random. Biometrics 73 1123–1131
2017
Closest in time.
[author] Fang, FangF., Zhao, JiweiJ. and Shao, JunJ. (2018). Imputation-based adjusted score equations in generalized linear models with nonignorable missing covariate values. Statistica Sinica 28 1677–1701
2018
Closest in time.
[author] Hu, YingyaoY. and Shiu, Ji-LiangJ.-L. (2018). Nonparametric identification using instrumental variables: Sufficient conditions for completeness. Econometric Theory 34 659-693
2018
Closest in time.
[author] Zhao, JiweiJ. and Ma, YanyuanY. (2018). Optimal pseudolikelihood estimation in the analysis of multivariate missing data with nonignorable nonresponse. Biometrika 105 479–486
2018
Closest in time.
[author] Liu, LanL., Miao, WangW., Sun, BaoluoB., Robins, JamesJ. and Tchetgen Tchetgen, EricE. (2019). Identification and inference for marginal average treatment effect on the treated with an instrumental variable. Statistica Sinica in press
2019
Closest in time.
[author] Yang, S.S., Wang, L.L. and Ding, P.P. (2019). Causal inference with confounders missing not at random. Biometrika in press
2019
Closest in time.
[author] Zhao, JiweiJ. and Ma, YanyuanY. (2019). A versatile estimation procedure without estimating the nonignorable missingness mechanism
2019
Closest in time.
[author] Miao, WangW. and Tchetgen Tchetgen, EricE. (2018). Identification and inference with nonignorable missing covariate data. Statistica Sinica 28 2049–2067
2067
Closest in time.