Fetching the paper…
Reading the bibliography…
Models for analyzing multivariate data sets with missing values require strong, often unassessable, assumptions.
Statistical methods and scientific inference
Fisher, R. A. (1956) · 1956
Earlier work this paper cites.
Fonctions de répartition à n dimensions et leurs marges
Sklar, M. (1959) · 1959
Earlier work this paper cites.
Inference and missing data
Rubin, D. B. (1976) · 1976
Earlier work this paper cites.
Maximum-likelihood estimation in panel studies with missing data
Marini, M. M., Olsen, A. R., and Rubin, D. B. (1980) · 1980
Earlier work this paper cites.
Likelihood
Edwards, A. W. F. (1984) · 1984
Earlier work this paper cites.
Sensitivity of Bayes inference with data-dependent stopping rules
Rosenbaum, P. R. and Rubin, D. B. (1984) · 1984
Earlier work this paper cites.
Multiple imputation for nonresponse in surveys
Rubin, D. B. (1987) · 1987
Earlier work this paper cites.
A test of missing completely at random for multivariate data with missing values
Little, R. J. (1988) · 1988
Earlier work this paper cites.
Performing likelihood ratio tests with multiply-imputed data sets
Meng, X.-L. and Rubin, D. B. (1992) · 1992
Cited alongside, same era.
A test of the missing data mechanism for repeated categorical data
Park, T. and Davis, C. S. (1993) · 1993
Cited alongside, same era.
Likelihood-based frequentist inference
Molenberghs, G. and Kenward, M. G. (1998) · 1998
Cited alongside, same era.
Statistical analysis with missing data
Little, R. J. and Rubin, D. B. (2002) · 2002
Cited alongside, same era.
Missing at random, likelihood ignorability and model completeness
Lu, G. and Copas, J. B. (2004) · 2004
Cited alongside, same era.
An Introduction to Copulas
Nelson, R. B. (2006) · 2006
Cited alongside, same era.
Diagnostics for multivariate imputations
Abayomi, K., Gelman, A., and Levy, M. (2008) · 2008
Later among the works it cites.
Applied longitudinal analysis
Fitzmaurice, G. M., Laird, N. M., and Ware, J. H. (2012) · 2012
Later among the works it cites.
What is meant by “missing at random”?
Seaman, S., Galati, J., Jackson, D., Carlin, J., et al. (2013) · 2013
Later among the works it cites.
Sensitivity analysis for a partially missing binary outcome in a two-arm randomized clinical trial
Liublinska, V. and Rubin, D. B. (2014) · 2014
Later among the works it cites.
Clarifying missing at random and related definitions, and implications when coupled with exchangeability
Mealli, F. and Rubin, D. B. (2015) · 2015
Later among the works it cites.
Graphical and numerical diagnostic tools to assess suitability of multiple imputations and imputation models
Bondarenko, I. and Raghunathan, T. (2016) · 2016
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Can one assess whether missing data are missing at random in medical studies?
Potthoff, R. F., Tudor, G. E., Pieper, K. S., and Hasselblad, V. (2006) · 2006
Cited alongside, same era.
Extending the rank likelihood for semiparametric copula estimation
Hoff, P. D. (2007) · 2007
Cited alongside, same era.
Later among the works it cites.
Principled imputation made simple: Multiple imputation using gaussian copulas
Hollenbach, M. F., Bojinov, I., Minhas, S., Metternich, N. W., Ward, M. D., and Volfovsky, A. (2017) · 2017
Closest in time.
Evaluation of multi-parameter test statistics for multiple imputation
Liu, Y. and Enders, C. K. (2017) · 2017
Closest in time.