Submitted papers


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

Published papers (in peer-reviewed journals)

  1. J.K. Kim, E, Berg, and T. Park. (2015+) "Statistical matching using fractional imputation". Survey Methodology, (tentatively) Accepted.
  2. S. Yang and J.K. Kim. (2015+). "A Note on Multiple Imputation for General-Purpose Estimation", Biometrika, Accepted.
  3. D. Da Silva, C. Skinner, and J.K. Kim. (2015+) "Using Binary Paradata to Correct for Measurement Error in Survey Data Analysis." Journal of the American Statistical Association, Accepted.
  4. Yang, S. and J.K. Kim. (2015+). "A semiparametric inference to regression analysis with missing covariates in survey data'', Statistica Sinica, Accepted.
  5. 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.
  6. S. Yang and J.K. Kim (2015). ``Likelihood-based inference with missing data under missing-at-random'', Scandinavian Journal of Statistics, Accepted.
  7. Kim, J.K., Park, S. and Kim, S. (2015). ``Small area estimation combining information from several sources'', Survey Methodology, 41, 21-36.
  8. 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.
  9. 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.
  10. Kim, J.K. and Im, J. (2014). ``Propensity score weighting adjustment with several follow-ups'', Biometrika 101, 439-448. 
  11. 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
  12. 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.
  13. S. Park and J.K. Kim. (2014). ``Instrumental-variable calibration estimation in survey sampling'', Statistica Sinica 24, 1001-1015.
  14. Kim, J.K. and Haziza, D. (2014). ``Doubly robust inference with missing data in survey sampling,'' Statistica Sinica 24, 375--394.
  15. Chen, S. and Kim, J.K. (2014). ``Population empirical likelihood for nonparametric inference in survey sampling,'' Statistica Sinica 24, 335--355.
  16. 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.
  17. 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.
  18. Kim, J.K. and Skinner, C.J. (2013). ``Weighting in survey analysis under informative sampling,'' Biometrika 100, 385-398.
  19. Kim, J.K. and Wu, C. (2013). ``A unified approach to replication variance estimation for complex surveys,'' Survey Methodology 39, 91-120.
  20. Kim, J.K. and Riddles, M. (2012). ``Some theory for propensity scoring adjustment estimator,'' Survey Methodology 38, 157-165.
  21. Kim, J.K. and Hong, M. (2012). ``An imputation approach to statistical inference with coarse data,'' Canadian Journal of Statistics 40, 604-618.
  22. Zhou, M. and Kim, J.K. (2012). ``An efficient method of estimation for longitudinal surveys with monotone missing data,'' Biometrika 99, 631-648.
  23. 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.
  24. Kim, J.Y. and Kim, J.K. (2012). ``Fractional imputation for nonignorable missing data,'' Journal of Korean Statistical Society 41, 291--303.
  25. Kim, J.K. and Rao, J.N.K. (2012). ``Combining data from two independent surveys: a model-assisted approach,'' Biometrika 99, 85--100.
  26. 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.
  27. Kim, J.K. and Yu, C.L. (2011). ``Replication variance estimation under two-phase sampling,'' Survey Methodology 37, 67--74.
  28. 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.
  29. Kim, J.K. (2011). ``Parametric fractional imputation for missing data analysis,'' Biometrika 98, 119--132.
  30. Kim, J.K. (2010). ``Calibration estimation using exponential tilting in sample surveys,'' Survey Methodology 36, 145--155.
  31. Kim, J.K. and Park, M. (2010). ``Calibration estimation in survey sampling,'' International Statistical Review 78, 21--39.
  32. 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.
  33. Kim, J.K. (2009). ``Calibration estimation using empirical likelihood in survey sampling,'' Statistica Sinica 19, 145-158.
  34. Kim, J.K. (2007). ``Regression fractional hot deck imputation,'' Journal of the Korean Statistical Society 36, 423-434. 
  35. Kim, J.K. and Kim, J.J. (2007). ``Nonresponse weighting adjustment using estimated response probability,'' Canadian Journal of Statistics 35, 501-514. 
  36. 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.
  37. Kim, J.K. and Park, H.A. (2006). ``Imputation using response probability,'' Canadian Journal of Statistics 34, 171-182.
  38. 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.
  39. Fuller, W.A. and Kim, J.K. (2005). ``Hot deck imputation for the response model,'' Survey Methodology 31, 139-149.
  40. Kim, J.K. (2004). ``Extension of factoring likelihood approach to non-monotone missing data'', Journal of the Korean Statistical Society 33, 401-410.
  41. Kim, J.K. (2004). ``Finite sample properties of multiple imputation estimators,'' The Annals of Statistics 32, 766-783.
  42. Brick, J.M., Kalton, G., and Kim, J.K. (2004). ``Variance estimation with hot deck imputation using a model,'' Survey Methodology 30, 57-66.
  43. Kim, J.K. and Fuller, W.A. (2004). ``Fractional hot deck imputation,'' Biometrika 91, 559-578.
  44. Kim, J.K. and Sitter, R.R. (2003). ``Efficient variance estimation for two-phase sampling,'' Statistica Sinica 13, 641-653.
  45. Kim, J.K. and Kim, Y. (2003). ``Inference after stochastic regression imputation under response model,'' Journal of the Korean Statistical Society 32, 103-119.
  46.  Kim, J.K. (2002). ``A note on approximate Bayesian bootstrap imputation,'' Biometrika 89, 470-477.
  47.  Kim, J.K. (2001). ``Variance estimation after imputation,'' Survey Methodology 27, 75-83.