Wensheng Guo, Ph.D.

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Professor of Biostatistics in Biostatistics and Epidemiology
Department: Biostatistics and Epidemiology

Contact information
Department of Biostatistics and Epidemiology
University of Pennsylvania
Perelman School of Medicine
Room 613 Blockley Hall
423 Guardian Drive
Philadelphia, PA 19104-6021
Office: 215-573-4466
Fax: 215-573-4865
Education:
B.S. (Computer Science)
University of Science and Technology of China, 1991.
M.S. (Biostatistics)
University of Colorado Health Sciences Center, 1994.
Ph.D. (Biostatistics)
University of Michigan, 1998.
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Description of Research Expertise

Research interests:

-Spline smoothing

-Time series analysis

-Functional models

-Longitudinal data analysis

Collaborative research includes:

-Hormone secretion patterns and feedback relationship between hormones

-Human circadian rhythms

-Seizure initiation and prediction using EEG data

Selected Publications

Liu C, Ratcliffe S and Guo W: A random pattern mixture model for ordinal outcomes with informative dropouts. Statistics in Medicine 34(16): 2391–2402, July 2015.

Liu Z, Cappola AR, Crofford LJ, Guo W: Modeling bivariate longitudinal hormone profiles by hierarchical state space models. Journal of the American Statistical Association 109(505): 108-118, Jan 2014.

Wierzbicki MR, Guo L, Du Q, Guo W: Sparse semiparametric nonlinear model with application to chromatographic fingerprints. Journal of the American Statistical Association 109(508): 1339-49, December 2014.

Elmi A, Ratcliffe S and Guo W: The estimation of branching curves in the presence of subject specific random effects. Statistics in Medicine 33(29): 5166-76, December 2014.

Krafty R, Hall M, Guo W: Functional mixed effects spectral analysis. Biometrika 98(3): 583-598, 2011.

Krafty RT, Gimotty P, Holtz D, Coukos G, Guo W: Varying-coefficient model with unknown within-subject covariance for analysis of tumor growth curves. Biometrics 64(4): 1023-1031, Dec 2008.

Qin L, Guo W: State space representation for smoothing spline ANOVA models. Journal of Computational and Graphical Statistics 15(4): 830-847, December 2006.

Ratcliffe SJ, Guo W, Ten Have TR: Joint modeling of longitudinal and survival data via a common frailty. Biometrics 60(4): 892-899, Dec 2004.

Guo W, Ratcliffe SJ, Ten Have TR: A random pattern-mixture model for longitudinal data with dropouts. Journal of the American Statistical Association 99: 929-937, 2004.

Guo W: Functional mixed effects models. Biometrics 58(1): 121-128, Mar 2002.

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Last updated: 06/20/2016
The Trustees of the University of Pennsylvania