• S.A. Murphy and D. Bingham (2008). Screening Experiments for Developing Dynamic Treatment Regimes. Submitted.
• L.M. Collins, B. Chakraborty, S.A. Murphy, V. Strecher (2008), Comparison of a phased experimental approach and a single randomized clinical trial for developing multicomponent behavioral interventions, To obtain a copy, send email to Linda Collins
• E. Laber, S.A. Murphy (2008), Small Sample Inference for Generalization Error in Classification Using the CUD Bound , To appear in the Proceedings of the 2008 Uncertainty in Artifical Intelligence Meeting, To obtain a copy, send email to Eric Laber
• A. Buu, R.A. Zucker, S.A. Murphy (2007), Statistical Methods for Estimating Latent Scores: A Methodological Comparison , To obtain a copy, send email to Anne Buu,
• V. Nair, V. Strecher, A. Fagerlin, P. Ubel, K. Resnicow, S. Murphy, R. Little, B. Chakraborty, A. Zhang (2007), Screening Experiments and Fractional Factorial Designs in Behavioral Intervention Research, To appear in the American Journal of Public Health, To obtain a copy, send email to Vijay Nair,
• A.I. Oetting, J.A. Levy, R.D. Weiss, S.A. Murphy(2007), Statistical Methodology for a SMART Design in the Development of Adaptive Treatment Strategies , To appear in Causality and Psychopathology: Finding the Determinants of Disorders and their Cures (P.E. Shrout, Ed.) Arlington VA: American Psychiatric Publishing, Inc, To obtain a copy, send email to Alena Oetting, Associated Technical Report..
• H. McGowan, R.L. Nix, S.A. Murphy, K.L. Bierman and CPPRG (2007), Investigating the Effects of Selection Bias in Dose-Response Analyses of Preventive Interventions , To obtain a copy, send email to Robert Nix submitted .
• L. Gunter, J. Zhu, S.A. Murphy (2007). Variable Selection for Optimal Decision Making(Short Version). Variable Selection for Optimal Decision Making(Long Version). Poceedings of the 11th Conference on Artificial Intelligence in Medicine, AIME 2007, LNCS/LNAI 4594, 149-154.
• J. Pineau, M.G. Bellemare, A. J. Rush, A. Ghizaru, S.A. Murphy (2007). Constructing evidence-based treatment strategies using methods from computer science. Drug and Alcohol Dependence, 88, Supplement 2:S52-S60.
• L.M. Collins, S.A. Murphy, V. Strecher (2007). The Multiphase Optimization Strategy (MOST) and the Sequential Multiple Assignment Randomized Trial (SMART): New Methods for More Potent e-Health Interventions. American Journal of Preventive Medicine , 32(5S):S112-118. To obtain a copy send email to Linda Collins .
• S.A. Murphy, L.M. Collins, A.J. Rush (2007). Customizing Treatment to the Patient: Adaptive Treatment Strategies (Editorial). Drug and Alcohol Dependence, Drug and Alcohol Dependence. 2007;88(2):S1-S72.
• S.A. Murphy, K.G. Lynch, J.R. McKay, D. Oslin, T. TenHave (2007). Developing Adaptive Treatment Strategies in Substance Abuse Research. Drug and Alcohol Dependence, 88(2):S24-S30
• Y. Xie, S. Murphy (2007). Discussion of "Principal Stratification Designs to Estimate Input Data Missing due to Death,” by Frangakis, Rubin, An, and MaKenzie, Biometrics, 63:655-658. To obtain a copy send email to Yu Xie .
• B. Bray, D. Almirall, R. Zimmerman, D. Lynam & S.A. Murphy (2006). Assessing the Total Effect of Time-varying Predictors in Prevention Research. Prevention Science 7(1):1-17.
• S.A. Murphy, D. Oslin, A.J.Rush, J. Zhu for MCATS (2006). Methodological Challenges in Constructing Effective Treatment Sequences for Chronic Disorders, Neuropsychopharmacology, 32(2):257-62. advance online publication, November 8 2006, doi: 10.1038/sj.npp.1301241 To obtain a copy send email to samurphy@umich.edu .
• L.M. Collins, J.R. McKay, D.W. Oslin & S.A. Murphy(2005). The Intervention Science in the Service of Clinical Art: The Sequential Multiple Assignment Randomized Trial (SMART), To obtain a copy send email to lmc8@psu.edu .
• K.A. Bierman, R.L. Nix, J.J. Maples, S.A. Murphy and CPPRG (2006), Examining the Use of Clinical Judgment in the Context of an Adaptive Intervention Design: The Fast Track Program , To obtain a copy, send email to kb2@psu.edu Journal of Consulting and Clinical Psychology Jun;74(3):468-81. 2006 .
• B. Chakraborty, L.M. Collins, S.A. Murphy, V. Nair & V. Strecher (2005). A Comparison of Randomized Trials and the Multi-phase Optimization Strategy for Behavioral Interventions, Technical Report 429, Department of Statistics, University of Michigan
• S.A. Murphy, (2005). A Generalization Error for Q-Learning, Journal of Machine Learning Research. 6(Jul):1073--1097.
• L.M. Collins, S.A. Murphy, V. Nair & V. Strecher (2005), A Strategy for Optimizing and Evaluating Behavioral Interventions , Annals of Behavioral Medicine. 30:65-73.
• S.A. Murphy (2005), An Experimental Design for the Development of Adaptive Treatment Strategies., Statistics in Medicine. 24:1455-1481.
• D. Blatt, S.A. Murphy, J. Zhu (2004). A-learning for Approximate Planning Technical Report 04-63, The Methodology Center, Pennsylvania State University.
• S.A. Murphy & J.R. McKay (2004), Adaptive Treatment Strategies: an Emerging Approach for Improving Treatment Effectiveness. Clinical Science (Newsletter of the American Psychological Association Division 12, section III: The Society for the Science of Clinical Psychology) Winter 2003/Spring 2004. See (Clinical Science Website).
• J.S. Barber, S.A. Murphy, N. Verbitsky (2004),
  Adjusting for Time-Varying Confounding in Survival Analysis (long version) , (short version) . Sociological Methodology. 34:163-192.
• L.M Collins, S.A. Murphy and K.A. Bierman (2004), A Conceptual Framework for Adaptive Preventive Interventions, Prevention Science 5:185-196.
• S.A. Murphy (2003), Optimal Dynamic Treatment Regimes, Journal of the Royal Statistical Society, Series B (with discussion) 65(2), 331-366.
• Maples, J.J., Murphy, S.A. and W.G. Axinn (2002),
  Two Level Proportional Hazards Models, Biometrics, 58(4), 180-188.
• S.A. Murphy, M.J. van der Laan, J. Robins and CPPRG (2001),
  Marginal Mean Models for Dynamic Regimes, (dynamic.ps) , (dynamic_tables.ps) , (dynamic.pdf) (dynamic_tables.pdf) , JASA, 96, 1410-1423.
• Barber, J.S., S.A. Murphy, W.G. Axinn and J. Maples, Discrete Time Multilevel Survival Analysis., (paper.pdf) , (table.pdf) , Sociological Methodology, 2000. 30, 201-235.
• Murphy, S.A. and A.W. van der Vaart (2000), On Profile Likelihood , JASA (with discussion), 95, 449-485.
• Murphy, S.A. and A.W. van der Vaart (1999), Observed Information in Semiparametric Models, Bernoulli, 5, 381-412.
• Murphy, S.A., A.W. van der Vaart and J.A. Wellner (1999), Current Status Regression, Mathematical Methods of Statistics, 8, 407-425.
• J.M. Bacik, S.A. Murphy and J.C. Anthony (1998),
  Drug Use Prevention Data, Missing Assessments and Survival Analysis . (multimp.ps) , (multimp.pdf) , Multivariate Behavioral Research, 33, 573-588.
• Murphy, S.A. and A.W. van der Vaart (1997), Semiparametric Mixtures in Case-Control Studies, (CaseControl.ps) , (CaseControl.pdf) ,
  To appear in Journal of Multivariate Analysis.
• Murphy, S.A. and A.W. van der Vaart (1997), Semiparametric Likelihood Ratio Inference , Annals of Statistics , 25, 1471-1509.
• Murphy, S.A., A.J. Rossini and A.W. van der Vaart (1997), MLE in the Proportional Odds Model , JASA. , 92, 968-976.
• Tipa, E.M., S.A. Murphy and D.K. McLaughlin (1997), Ignorable Dropout in Longitudinal Studies ,
• Malacane, L.A., , S.A. Murphy and Linda Collins(1996),
  Determining the Risk Set in Event History Analysis ,
• Murphy, S.A. and A.W. van der Vaart (1996),
  Likelihood Inference in the Errors-in-Variables Model, J. of Multivariate Analysis , 59, 81-108.
• Akritas, M., S. Murphy , M. LaValley and E. Feigelson (1995),
  The Theil-Sen Estimator with Doubly Censored Data and Applications to Astronomy, JASA,90 170-177.
• Murphy, S., M.A. O'Hanesian and G. Bentley (1995),
  An Analysis for Menstrual Data with Time-Varing Covariates , Stat. in Med ,14 1843-1857.
• Murphy, S.A. (1995)
  Asymptotic Theory for the Frailty Model, Annals of Statistics ,23 182-198.
• Murphy, S.A.(1995),
  A Central Limit Theorem for Local Martingales with Applications to the Analysis of Longitudinal Data , Scand. J. of Stat., 22 279-294.
• Murphy, S.A.(1995), Likelihood Ratio-Based Confidence Intervals in Survival Analysis . JASA ,90 1299-1405.
• Murphy, S.A. and B. Li (1995),
  Projected Partial Likelihood and its Application to Longitudinal Data , Biometrika,82 399-406.
• Murphy, S.A. (1994),
  Consistency in a Proportional Hazards Model Incorporating a Random Effect, Annals of Statistics, 22 712-731.
• Murphy, S. , R. Tice, M. Smit and B. Margolin(1992),
  Contributions to the Design and Statistical Analysis of in vivo SCE Experiments. Mutation Research,271 39-48.
• Murphy, S.A.(1991),
  Testing for a Time Dependent Coefficient in Cox's Regression Model, Scandinavian Journal of Statistics,20 25-50.
• Murphy, S.A. and P.K. Sen (1991),
  Time Dependent Coefficients in a Cox-type Regression Model, Stochastic Processes and Their Applications ,39 153-180.
• Jauhar, P., P. Henika , J. MacGregor, C. Wehr, M. Shelby, S. Murphy and B. Margolin (1988),
  1,3- Butadiene: Induction Micronucleated Erythrocytes in the Peripheral Blood of BbC3F₁ Mice Exposed by Inhalation for Thirteen Weeks. Mutation Research , 209 171-176.
• Murphy, S., W. Caspary and B. Margolin (1988),
  A Statistical Analysis for the Mouse Lymphoma Cell Forward Mutation Assay, Mutation Research 203 145-154.

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