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  Lan Kong, PhD
Assistant Professor, Biostatistics
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Education
Research Interests
Courses
Selected Publications
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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 statistical methods for biomarker analysis, longitudinal data analysis, quantile regression, fixed censoring data, survival analysis, case-cohort design and critical care research. 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 2009, 65: 135-142.

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:

Watson RS, Clermont G, Kinsella JP, Kong L, Arendt RE, Cutter G, Linde-Zwirble WT, Abman SH, Angus DC on behalf of the Prolonged Outcomes after Nitric Oxide (PrONOx) Investigators. Clinical and economic effects at one year of corrected age after a randomized trial of inhaled nitric oxide in premature newborns with respiratory failure. Pediatrics 2009, In press.

Yende S, Angus DC, Kong L, Kellum JA, Weissfeld LA, Ferrell R, Finegold D, Carter M, Leng L, Peng Z, and Bucala R (2009). The influence of macrophage migration inhibitory factor gene polymorphisms on outcome from community-acquired pneumonia. The FASEB Journal, published online April 3, 2009.

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 2009 May;37(5):1655-62.

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 2008, 52(1):48-58

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 2007, 167(15):1655-1663.

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
© 2001-2007
Dept. of Biostatistics, University of Pittsburgh

Program Contact:
Registrar, biostat@pitt.edu

Webmaster:
Susan Grasky, BSIS


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Department of Biostatistics, 130 Desoto Street, 311 Parran Hall,
Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261
Phone: (412) 624-3022 Fax: (412) 624-2183

Revised on June 15, 2009