Se-Kang Kim, PhD

Professor Se-Kang Kim participates in the development and application of sophisticated statistical methodologies. Present research interests include the innovative techniques of profile analysis for continuous data and correspondence analysis for categorical data, the use of which has been shown to uncover medically significant aspects that have not been previously discovered using traditional analytical methods. His recent research focuses on the creation of innovative and efficient statistical methods and their application to clinical and medical domains. Professor Kim is eager to continue collaborating with research and clinical faculty in the Pediatric Psychology Division at Baylor College of Medicine to conduct data-driven, clinically relevant research.

[person:personal_statement]

When I provide high-quality statistical services to our research faculty members, my consulting services are based on the four H's, which are humble, honest, honorable and happy. These four H's not only maintain the high quality of statistical consulting services, but they also treat others with respect and plurality. The four H's are our family motto, and when my loving wife and I raised our children, our way of nurturing was based on these four H's.

Intereses Clinicos

Autism spectrum disorder, eating disorders, obsessive compulsive disorders, and anxiety disorders

Educacion

Organizaciones

* Texas Children’s Hospital physicians’ licenses and credentials are reviewed prior to practicing at any of our facilities. Sections titled From the Doctor, Professional Organizations and Publications were provided by the physician’s office and were not verified by Texas Children’s Hospital.

Research interests

Profile analysis, correspondence analysis

Kim, S.-K. Factorization of person response profiles to identify summative profiles carrying central response patterns. Psychological Methods, 2023. Advance online publication. https://doi.org/10.1037/met0000568. PMID: 36972078

Kim, S.-K., McKay, D., Cepeda, S.L., Schneider, S.C., Wood, J., & Storch, E.C. Assessment of improvement in anxiety severity for children with autism spectrum disorders: The matched correspondence analysis approach. Journal of Psychiatric Research, 2022, 145, 175-181. https://doi.org/10.1016/j.jpsychires.2021.12.004 (applied: IF = 5.250). PMID: 34923358

Kim, S.-K., McKay, D., & Tolin, D.F. Examining the generality and specificity of gender moderation in obsessive compulsive beliefs: stacked prediction by correspondence analysis. British Journal of Clinical Psychology, 2022, 61, 613-628. https://doi.org/10.1111/bjc.12326. PMID: 34468041

Kim, S.-K., McKay, D., Murphy, T.K., Bussing, R., McNamara, J.P, Goodman, W.K., & Storch, E.C. Age moderated–anxiety mediation for multimodal treatment outcome among children with obsessive-compulsive disorder: An evaluation with correspondence analysis. Journal of Affective Disorders, 2021, 282, 766-775. https://doi.org/10.1016/j.jad.2020.12.198. PMID: 33601717

Kim, S.-K., McKay, D., Goodman, W.K., Small, B.J., McNamara, J.P., & Murphy, T.K., & Storch, E.A. Understanding anxiety and symptom impact mediators explaining cognitive-behavior therapy and pharmacotherapy response in childhood obsessive-compulsive disorder. Journal of Psychopathology and Behavioral Assessment, 2020, 42, 739–750. https://doi.org/10.1007/s10862-020-09824-5

Kim, S.-K. Test treatment effect differences in repeatedly measured symptoms with binary values: The matched correspondence analysis approach. Behavior Research Methods, 2020, 52, 1480-1490. https://doi.org/10.3758/s13428-019-01328-9. PMID: 32077082

Kim, S.-K., & Annunziato, R.A. Can eating disorder treatment also alleviate psychiatric comorbidity: Matched correspondence analysis? Psychotherapy & Psychosomatics, 2020, 89(2), 125–127.https://doi.org/10.1159/000505672. PMID: 31991442