Sarah Jane Ratcliffe, Ph.D.
University of Virginia School of Medicine
P.O. Box 800717
Charlottesville, VA 22908
University of Technology, Sydney, Australia, 1996.
Macquarie University, Sydney, Australia, 2000.
Description of Research ExpertiseBiostatistics
Selected PublicationsLiu C, Ratcliffe SJ, and Guo W: A random pattern mixture model for ordinal outcomes with informative dropouts. Statistics in Medicine 34(16): 2391-2402, 2015 Notes: [Epub 2015 Apr 20] DOI:10.1002/sim.6514. First author is Dr. Ratcliffe's PhD student.
Foglia EE, Owen LS, Thio M, Ratcliffe SJ, Lista G, te Pas A, Hummler H, Nadkarni V, Ades A, Posencheg M, Keszler M, Davis P, and Kirpalani H: Sustained Aeration of Infant Lungs (SAIL) Trial: Study protocol for a randomized controlled trial. Trials 16: 95, 2015 Notes: [Epub 2015 Mar 15.] DOI:10.1186/s13063-015-0601-9.
Brown SES, Ratcliffe SJ, and Halpern SD.: An empirical comparison of key statistical attributes among potential intensive care unit quality indicators. Critical Care Medicine 42(8): 1821-31, 2014 Notes: [Epub 2014 Apr 8] First author is Dr. Ratcliffe's PhD student.
Elmi A, Ratcliffe SJ, and Guo W: The estimation of branching curves in the presence of subject-specific random effects. Statistics in Medicine 33(29): 5166-76, 2014 Notes: [Epub 2014 Sep 4] DOI:10.1002/sim.6289. First author is Dr. Ratcliffe's PhD student.
Elmi A, Ratcliffe SJ, Parry S and Guo W: A B-spline based semiparametric nonlinear mixed effects model. Journal of Computational and Graphical Statistics 20(2): 492-509, 2011 Notes: [Epub 2011 Mar 23] DOI:10.1198/jcgs.2010.09001.
Shults J, and Ratcliffe SJ: Analysis of multi-level correlated data in the framework of generalized estimating equations via xtmultcorr procedures in Stata and qls functions in Matlab. Statistics and its Interface 2: 187-196, 2009.
Ratcliffe SJ and Shults J: GEEQBOX: A Matlab toolbox for generalized estimating equations and quasi-least squares. Journal of Statistical Software 25(14): 1-14, 2008 Notes: url:www.jstatsoft.org/v25/i14.
Guo W, Ratcliffe SJ, and Ten Have TR: A Random pattern-mixture model for longitudinal data with dropouts. Journal of the American Statistical Association 99: 929-937, 2004.
Ratcliffe SJ, Guo W,and Ten Have TR: Joint modeling of longitudinal and survival data via a common frailty. Biometrics 60(4): 892-9, 2004.