Summary of Research Interests & Focus

　

Correlated data analysis; Group randomized trials; Generalized linear models; Cancer research in epidemiology; Health outcomes and behavior research in cancer prevention.

  Selected Peer Reviewed Publications (a total of 45 papers)

　

[1] Lee, J.-H., Miladinovic, B., and Schell, J. M. (2009). Analysis of Two Group Comparisons: A Practical Guide. MPPA (Accepted).

[2] Kim, J., Pal, T., and Lee, J.-H.* (2009). The graphical evaluation on reproducibility between two observers using concordance correlation coefficient. (Submitted).

[3] Lee, J.-H., Schell, M. J., and Roetzheim, R. (2009). Analysis of Group Randomized Trials with Multiple Binary

       Endpoints and Small Number of Groups. PLoS One 4(10): e7265. doi:10.1371/journal pone.0007265.

 [4] Lee, J.-H., Eschrich, S., and Beam, C.A. (2007). An Exact Test for Detecting Inconsistency in Reader's 

       Interpretation Over Time in Screening Mammograms. Biometrical Journal 49, 1-10. (Grant #: 1R03 EB0056401)

[5] Lee, J.-H., Herzog, T.A., Meade, C.D., Webb, M.S., and Brandon, T. H. (2007). Use of GEE for Analyzing    

       Longitudinal Binomial Data: A Primer Using Data from a Tobacco Intervention. Addictive Behaviors 32, 187 - 193.  

[6] Fay, M.P. and Lee, J.-H. (2006). Measuring Agreement between Two Statistics with Applications to Age

       Standardization. Journal of the Royal Statistical Society Series A 160, 1-16.

[7] Lee, J.-H. and Qaqish, B.F. (2005). A Latent Change Point Model Using a Generalized Estimating Equations  Approach. Communication in Statistics—Theory and Methods 34, 1233-1242.

[8] Lee, J.-H. and Qaqish, B.F. (2004).  Modified GEE and Goodness-of-Marginal-Fit (GOMF) Tests with Correlated Binary Responses for Contingency Tables. Biometrical Journal 46, 675-686.