| | Lan Kong, PhD
Assistant Professor, Biostatistics
Education BS, Biomedical Engineering, Tianjin Medical University
MS, Biostatistics, University of North Carolina at Chapel Hill
PhD, Biostatistics, University of North Carolina at Chapel Hill Research Interests My current research focuses are mainly in the development and application of statistical methods for the survival data under case-cohort design, statistical strategies for assessing the equivalence on multiple endpoints, and multiple comparison problem in clinical trials with multiple doses. I also collaborate in the CRISMA Laboratory (Clinical Research, Investigation, and Systems Modeling of Acute illness) at the department of critical care medicine. (Health Sciences Faculty Research Interests Project)
Courses
BIOST 2043: Introduction to Statistical Theory I
BIOST 2044: Introduction to Statistical Theory II
Selected Publications
Methodology:
Kong L, Cai J. Case-cohort analysis with accelerated failure time model. Biometrics 2008, In press.
Kong L, Kohberger RC, Koch GG. Design of vaccine equivalence/non-inferiority trials with correlated multiple binomial endpoints. Journal of Biopharmaceutical Statistics 2006, 16(4): 555-572.
Kong L, Cai J, Sen PK. Asymptotic results for fitting semiparametric transformation models to failure time data from a case-cohort design. Statistica Sinica 2006, 16(1): 135-151.
Kong L, Koch GG, Liu T, Wang H. Performance of some multiple testing procedures to compare three doses of a test drug and placebo. Pharmaceutical Statistics 2005, 4(1): 25-35.
Kong L, Kohberger RC, Koch GG. Type I error and power in non-inferiority/equivalence trials with correlated multiple endpoints: an example from vaccine development trials. Journal of Biopharmaceutical Statistics 2004; 14(4):893-907.
Kong, L., Cai, J. and Sen, PK. Weighted estimating equations for semiparametric transformation models with censored data from a case-cohort design, Biometrika 2004, 91(2), pp. 305-319.
Collaborative:
Michael RC, Yende S, D’Angelo G, Kong L, Kellum JA, Milbrandt EB, Dooley C, Mayr FB, Barnato AE, Weissfeld L, Angus DC. Differences in immune response may explain lower survival among older men with pneumonia. Critical Care Medicine 2008.
Yende S, D’Angelo G, Kellum JA, Weissfeld L, Fine J, Welch RD, Kong L, Carter M, Angus DC. Inflammatory markers at hospital discharge predict subsequent mortality after pneumonia and sepsis. American Journal of Respiratory and Critical Care Medicine March 2008, 177: 1242-1247.
Huang DT, Weissfeld LA, Kellum JA, Yealy DM, Kong L, Martino M, Angus DC. Risk Prediction with Procalcitonin and Clinical Rules in Community-acquired Pneumonia. Annals of Emergency Medicine. March 17 2008 online published.
Angus DC, Yang L, Kong L, Kellum JA, Delude RL, Tracey KJ, Weissfeld LA, for the GenIMS Investigators. Circulating high-mobility group box 1 (HMGB1) concentrations are elevated in both uncomplicated pneumonia and pneumonia with severe sepsis. Critical Care Medicine, 2007, 35(4):1061-1067.
Kellum JA, Kong L, Fink MP, Weissfeld LA, Yealy DM, Pinsky MR, Fine J, Krichevsky A, Delude RL, Angus DC, for the GenIMS Investigators. Understanding the inflammatory cytokine response in pneumonia and sepsis: Results of the GenIMS study. Archives of Internal Medicine, August 2007, 167(15):1655-1663.
Lindsay L, Lisa AJ, Savitz DA, Weber DJ, Koch GG, Kong L, Guess HA. Community Influenza Activity and Risk of Acute Influenza-like Illness Episodes among Healthy Unvaccinated Pregnant and Postpartum Women. American Journal of Epidemiology 2006, 163:838-48.
Milbrandt EB, Kersten A, Kong L, Weissfeld LA, Clermont G, Fink MP, Angus DC. Haloperidol use is associated with lower hospital mortality in mechanically ventilated patients. Critical Care Medicine 2005, 33(1):226-229.
Contact Information 313 Parran Hall
130 DeSoto Street
Pittsburgh, PA 15261
Telephone: 412-624-3638
Facsimile: 412-624-2183
Email: lkong@pitt.edu |
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