POPULAR PRESS
S. Rose (2013). Statisticians' place in big data. Amstat News, 428:28. [Link]
S. Rose (2012). Big data and the future. Significance, 9(4):47-48. [PDF]
M.J. van der Laan, S. Rose (2010). Statistics Ready for a Revolution: Next Generation of Statisticians Must Build Tools for Massive Data Sets. Amstat News, 399:38-39. [Link]
BOOK
M.J. van der Laan, S. Rose (2011). Targeted Learning: Causal Inference for Observational and Experimental Data. New York, Springer.
[Book synopsis] [targetedlearningbook.com]
REFEREED JOURNAL PUBLICATIONS
S. Rose, M.J. van der Laan (2013). A double robust approach to causal effects in case-control studies. Am J Epidemiol, accepted.
S. Rose (2013). Mortality risk score prediction in an elderly population using machine learning. Am J Epidemiol, 177(5):443-452.
[Abstract] [PDF] ["Editor's Choice" article]
H. Wang, S. Rose, M.J. van der Laan (2011). Finding quantitative trait loci genes with collaborative targeted maximum likelihood learning. Stat Probabil Lett, 81(7):792–796.
[Abstract] [PDF] [Featured in issue editorial]
S. Rose, J. Snowden, K.M. Mortimer (2011). Rose et al. respond to “G-computation and standardization in epidemiology.” Am J Epidemiol, 173(7):743–744.
[Abstract] [PDF]
J. Snowden, S. Rose, K.M. Mortimer (2011). Implementation of G-Computation on a simulated data set: demonstration of a causal inference technique. Am J Epidemiol, 173(7):731–738.
[Abstract] [PDF] [Evaluated by Faculty of 1000]
S. Rose, M.J. van der Laan (2011). A targeted maximum likelihood estimator for two-stage designs. Int J Biostat, 7(1):17.
[Abstract] [PDF] [ASA Statistics in Epidemiology Graduate Student Travel Award]
H. Li, H. Grigoryan, W. Funk, S. Lu, S. Rose, E.R. Williams, S.M. Rappaport (2011). Profiling Cys34 adducts of human serum albumin by fixed-step selected reaction monitoring. Mol Cell Proteomics, 10(3):M110.004606.
[Abstract] [PDF]
K. Huen, L. Barcellos, K. Beckman, S. Rose, B. Eskenazi, N. Holland (2011). Effects of PON polymorphisms and haplotypes on molecular phenotype in Mexican-American mothers and children. Environ Mol Mutag, 52(2):105-16.
[Abstract] [PDF] ["Editor's Choice" article; featured on issue cover] [EMS Award]
S. Rose, M. J. van der Laan (2009). Why match? Investigating matched case-control study designs with causal effect estimation. Int J Biostat, 5(1):1.
[Abstract] [PDF]
S. Rose, M.J. van der Laan (2008). Simple optimal weighting of cases and controls in case-control studies. Int J Biostat, 4(1):19.
[Abstract] [PDF]
S. Cokus, S. Rose, D. Haynor, N. Gronbech-Jensen, M. Pellegrini (2006). Modeling the network of cell cycle transcription factors in the yeast Saccharomyces cerevisiae. BMC Bioinformatics, 7:381.
[Abstract] [PDF] [Highly accessed]
V. Berger, S. Rose (Weinstein) (2004). Ensuring the comparability of comparison groups: is randomization enough? Control Clin Trials, 25(5):515–524.
[Abstract] [PDF] [Highlighted in Science News]
BOOK CHAPTERS
S. Rose, R.J.C.M. Starmans, M.J. van der Laan (2012). Targeted learning for causality and statistical analysis in medical research. In Qian Meng, Zhongguo Zheng, eds. Statistics: Discovering
Your Future Power. Beijing: China Statistics Press. (In press, book will be published in both Chinese and English.)
[PDF]
SUBMITTED MANUSCRIPTS
S. Rose, D. Coggon. The matching myth in case-control studies.
H. Wang, S. Rose, M.J. van der Laan. A targeted learning method for mapping quantitative trait loci.
A. Chambaz, S. Rose, J. Bouyer, M.J. van der Laan. Targeted learning of the probability of success of an in vitro fertilization program controlling for time-dependent confounders.
[Preprint PDF]
Contact me (srose@jhsph.edu) if you would like a copy of any publication you cannot access due to lack of subscription access. Ungated links are used whenever possible.