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: 05/19/2017
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