• L. Gunter, J. Zhu, S.A. Murphy (2009). Variable Selection for Qualititative Interactions. available online: 20-MAY-2009 DOI: 10.1016/j.stamet.2009.05.003 to appear in Statistical Methodology,
• D. Almirall, CJ. Coffman, W.S. Yancy, Jr., S.A. Murphy, (2009) Maximum Likelihood Estimation of the Structural Nested Mean Model Using SAS PROC NLP: With Application to the Study of Time-Varying Moderators of the Effect of Weight Change on Quality of Life. To appear in the SAS book: Analysis of Observational Health-Care Data Using SAS. To obtain a copy, send email to Daniel Almirall
• B. Chakraborty and S.A. Murphy (2009). Inference for Nonregular Parameters in Optimal Dynamic Treatment Regimes . To appear in the special issue on "Clinical Trials in Mental Health" of the journal "Statistical Methods in Medical Research" To obtain a copy, send email to Bibhas Chakraborty
• B. Chakraborty, L. Collins, V. Strecher, S.A. Murphy(2008), Developing Multicomponent Interventions using Fractional Factorial Designs , To appear in Statistics in Medicine . To obtain a copy, send email to Bibhas Chakraborty
• R. Fonteneau, S.A. Murphy, L.Wehenkel and D. Ernst (2008). Inferring bounds on the performance of a control policy from a sample of trajectories. accepted for presentation at the 2009 IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning and for publication in the conference proceedings published annually by IEEE, To obtain a copy, send email to R. Fonteneau
• D. Lizotte, L.Gunter, E. Laber and S.A. Murphy (2008). Missing Data and Uncertainty in Batch Reinforcement Learning . Selected for a poster presentation at the NIPS-08 Workshop on Model Uncertainty and Risk in Reinforcement Learning.
• B. Chakraborty and S.A. Murphy (2008). Bias Correction and Confidence Intervals for Fitted Q-iteration . Selected for a verbal presentation at the NIPS-08 Workshop on Model Uncertainty and Risk in Reinforcement Learning.
• S.A. Murphy and D. Bingham (2008). Screening Experiments for Developing Dynamic Treatment Regimes. To Appear in JASA.
• S.A. Murphy and D. Almirall, (2008) Dynamic Treatment Regimes, To appear in Kattan MW, ed. Encyclopedia of Medical Decision Making. Thousand Oaks, CA: Sage Publications, in press To obtain a copy, send email to Daniel Almirall
• D. Almirall, T. Ten Have, S.A. Murphy (2009), Structural Nested Mean Models for Assessing Time-Varying Effect Moderation, To appear in Biometrics, To obtain a copy, send email to Daniel Almirall .
• L.M. Collins, B. Chakraborty, S.A. Murphy, V. Strecher (2009), Comparison of a phased experimental approach and a single randomized clinical trial for developing multicomponent behavioral interventions. Clinical Trials, Vol 6: 5-15.
• E. Laber, S.A. Murphy (2008), Small Sample Inference for Generalization Error in Classification Using the CUD Bound, Proceedings of the 2008 Uncertainty in Artificial Intelligence Conference} AUAI Press, 357:365
• 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 (2008), Screening Experiments and Fractional Factorial Designs in Behavioral Intervention Research, The American Journal of Public Health, Vol 98, No. 8: 1534-1539.
• 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 Herle McGowan . Text file with simulation code can be found here.
• 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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