Kim, J.K. and Shao, J. (2013). Statistical Methods for handling Incomplete Data, Chapman & Hall / CRC.

Published papers (in peer-reviewed journals)

  1. S. Yang and J.K. Kim. (2016). "Fractional imputation in survey sampling: A comparative review'', Statistical Science, Accepted for publication.
  2. E. Berg, J.K. Kim, and C. J. Skinner. (2016). "Imputation under informative sampling'', Journal of the Survey Statistics and Methodology, Accepted for publication.
  3. S. Park, J.K. Kim, and S. Park. (2016). "An imputation approach for handling mixed mode surveys'', Annals of Applied Statistics, 10, 1063-1085
  4. M.A. Hidiroglou, J.K. Kim, and C.O. Nambeu. (2016). "Regression using estimated totals''. Survey Methodology, 42, 121-135.
  5. J.K. Kim, Y. Kwon, and M.H.C. Paik. (2016). "Calibrated propensity score method for survey nonresponse in cluster sampling", Biometrika, 103, 461-473.
  6. J.K. Kim, E, Berg, and T. Park. (2016). "Statistical matching using fractional imputation''. Survey Methodology, 40, 19--40.
  7. S. Yang and J.K. Kim (2016). "A Note on Multiple Imputation for General-Purpose Estimation'', Biometrika, 103, 244 -- 251.
  8. M. Riddles, J.K. Kim, and J. Im (2016) "Propensity score adjustment for nonignorable nonresponse.'' Journal of Survey Statistics and Methodology, 4, 215-245.
  9. D. Da Silva, C. Skinner, and J.K. Kim. (2016). ``Using Binary Paradata to Correct for Measurement Error in Survey Data Analysis.'' Journal of the American Statistical Association, DOI:10.1080/01621459.2015.1130632.
  10. Yang, S. and J.K. Kim (2016). "A semiparametric inference to regression analysis with missing covariates in survey data'', Statistica Sinica, Accepted.
  11. S. Yang and J.K. Kim (2016). "Likelihood-based inference with missing data under missing-at-random'', Scandinavian Journal of Statistics, 43, 436--454.
  12. K.L. Peyer, G. Welk, L. Bailey-Davis, S. Yang, J.K. Kim (2015). ``Factors associated with parent concern for child weight and parenting behaviors'', Childhood Obesity, 11, 269-274.
  13. Kim, J.K., Park, S. and Kim, S. (2015). ``Small area estimation combining information from several sources'', Survey Methodology, 41, 21-36.
  14. Kim, J.K. and Yang, S. (2014). ``Fractional hot deck imputation for robust inference under item nonresponse in survey sampling'', Survey Methodology 40, 211-230.
  15. Chen, S. and Kim, J.K. (2014). ``Two-phase sampling for propensity score estimation in self-selected samples'', Annals of Applied Statistics 8, 1492-1515.
  16. Kim, J.K. and Im, J. (2014). ``Propensity score weighting adjustment with several follow-ups'', Biometrika 101, 439-448. 
  17. Wang, S., Shao, J. and Kim, J.K. (2014). ``An instrument variable approach for identification and estimation with Nonignorable Nonresponse,'' Statistica Sinica 24, 1097-1116
  18. Chen, S. and Kim, J.K. (2014). ``Semi-parametric inference with a functional-form empirical likelihood,'' Journal of the Korean Statistical Society 43, 201-214.
  19. S. Park and J.K. Kim. (2014). ``Instrumental-variable calibration estimation in survey sampling'', Statistica Sinica 24, 1001-1015.
  20. Kim, J.K. and Haziza, D. (2014). ``Doubly robust inference with missing data in survey sampling,'' Statistica Sinica 24, 375--394.
  21. Chen, S. and Kim, J.K. (2014). ``Population empirical likelihood for nonparametric inference in survey sampling,'' Statistica Sinica 24, 335--355.
  22. S. Yang, J.K. Kim, and D.W. Shin. (2013). ``Imputation methods for quantile estimation under missing at random'', Statistics and Its Interface 6, 369--377.
  23. S. Yang, J.K. Kim, and Z. Zhu. (2013). ``Parametric fractional imputation for mixed models with nonignorable missing data'', Statistics and Its Interface 6, 339--347.
  24. Kim, J.K. and Skinner, C.J. (2013). ``Weighting in survey analysis under informative sampling,'' Biometrika 100, 385-398.
  25. Kim, J.K. and Wu, C. (2013). ``A unified approach to replication variance estimation for complex surveys,'' Survey Methodology 39, 91-120.
  26. Kim, J.K. and Riddles, M. (2012). ``Some theory for propensity scoring adjustment estimator,'' Survey Methodology 38, 157-165.
  27. Kim, J.K. and Hong, M. (2012). ``An imputation approach to statistical inference with coarse data,'' Canadian Journal of Statistics 40, 604-618.
  28. Zhou, M. and Kim, J.K. (2012). ``An efficient method of estimation for longitudinal surveys with monotone missing data,'' Biometrika 99, 631-648.
  29. Kim, J.K. and Shin, D.W. (2012). ``The factoring likelihood method for non-monotone missing data,'' Journal of the Korean Statistical Society 41, 375--386.
  30. Kim, J.Y. and Kim, J.K. (2012). ``Fractional imputation for nonignorable missing data,'' Journal of Korean Statistical Society 41, 291--303.
  31. Kim, J.K. and Rao, J.N.K. (2012). ``Combining data from two independent surveys: a model-assisted approach,'' Biometrika 99, 85--100.
  32. Kim, J.K., Fuller, W.A., and Bell, W.R. (2011). ``Variance Estimation for Nearest Neighbor Imputation for U.S. Census Long Form Data,'' Annals of Applied Statistics 5, 824--842.
  33. Kim, J.K. and Yu, C.L. (2011). ``Replication variance estimation under two-phase sampling,'' Survey Methodology 37, 67--74.
  34. Kim, J.K. and Yu, C.Y. (2011). ``A semi-parametric estimation of mean functionals with non-ignorable missing data,'' Journal of the American Statistical Association 106, 157--165.
  35. Kim, J.K. (2011). ``Parametric fractional imputation for missing data analysis,'' Biometrika 98, 119--132.
  36. Kim, J.K. (2010). ``Calibration estimation using exponential tilting in sample surveys,'' Survey Methodology 36, 145--155.
  37. Kim, J.K. and Park, M. (2010). ``Calibration estimation in survey sampling,'' International Statistical Review 78, 21--39.
  38. Kim, J.K. and Rao, J.N.K. (2009). ``Unified approach to linearization variance estimation from survey data after imputation for item nonresponse,'' Biometrika 96, 917-932.
  39. Kim, J.K. (2009). ``Calibration estimation using empirical likelihood in survey sampling,'' Statistica Sinica 19, 145-158.
  40. Kim, J.K. (2007). ``Regression fractional hot deck imputation,'' Journal of the Korean Statistical Society 36, 423-434. 
  41. Kim, J.K. and Kim, J.J. (2007). ``Nonresponse weighting adjustment using estimated response probability,'' Canadian Journal of Statistics 35, 501-514. 
  42. Kim, J.K., Navarro, A., and Fuller, W.A. (2006). ``Replicate variance estimation after multi-phase stratified sampling,'' Journal of the American Statistical Association 101, 312-320.
  43. Kim, J.K. and Park, H.A. (2006). ``Imputation using response probability,'' Canadian Journal of Statistics 34, 171-182.
  44. Kim, J.K., Brick, M.J., Fuller, W.A., and Kalton, G. (2006). ``On the bias of the multiple imputation variance estimator in survey sampling,'' Journal of the Royal Statistical Society: Series B 68, 509-521.
  45. Fuller, W.A. and Kim, J.K. (2005). ``Hot deck imputation for the response model,'' Survey Methodology 31, 139-149.
  46. Kim, J.K. (2004). ``Extension of factoring likelihood approach to non-monotone missing data'', Journal of the Korean Statistical Society 33, 401-410.
  47. Kim, J.K. (2004). ``Finite sample properties of multiple imputation estimators,'' The Annals of Statistics 32, 766-783.
  48. Brick, J.M., Kalton, G., and Kim, J.K. (2004). ``Variance estimation with hot deck imputation using a model,'' Survey Methodology 30, 57-66.
  49. Kim, J.K. and Fuller, W.A. (2004). ``Fractional hot deck imputation,'' Biometrika 91, 559-578.
  50. Kim, J.K. and Sitter, R.R. (2003). ``Efficient variance estimation for two-phase sampling,'' Statistica Sinica 13, 641-653.
  51. Kim, J.K. and Kim, Y. (2003). ``Inference after stochastic regression imputation under response model,'' Journal of the Korean Statistical Society 32, 103-119.
  52.  Kim, J.K. (2002). ``A note on approximate Bayesian bootstrap imputation,'' Biometrika 89, 470-477.
  53.  Kim, J.K. (2001). ``Variance estimation after imputation,'' Survey Methodology 27, 75-83.