Statistical science

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  Año 2010, Vol. 25, Número 1

  • Matching Methods for Causal Inference: A Review and a Look Forward

    Elizabeth A. Stuart

    págs. 1-21

    

  • Assumptions of IV Methods for Observational Epidemiology

    Vanessa Didelez, Sha Meng, Nuala A. Sheehan

    págs. 22-40

    

  • Make Research Data Public?-Not Always so Simple: A Dialogue for Statisticians and Science Editors

    Nell Sedransk, Linda J. Young, Katrina L. Kelner, Robert Moffitt, Ani Thakar, Jordan Raddick, Edward J. Ungvarsky, Richard W. Carlson, Rolf Apweiler, Lawrence H. Cox, Deborah Nolan, Keith Soper, Clifford Spiegelman

    págs. 41-50

    

  • Identification, Inference and Sensitivity Analysis for Causal Mediation Effects

    Kosuke Imai, Luke Keele, Teppei Yamamoto

    págs. 51-71

    

  • Dempster'Shafer Theory and Statistical Inference with Weak Beliefs

    Ryan R. Martin, Jianchun Zhang, Chuanhai Liu

    págs. 72-87

    

  • Particle Learning and Smoothing

    Carlos M. Carvalho, Michael Johannes, Hedibert Freitas Lopes, Nicholas Polson

    págs. 88-106

    

  • The Importance of Scale for Spatial-Confounding Bias and Precision of Spatial Regression Estimators

    Christopher J. Paciorek

    págs. 107-125

    

  • A Conversation with James Hannan

    Dennis Gilliland, R. V. Ramamoorthi

    págs. 126-144

    
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  Año 2010, Vol. 25, Número 2

  • The Future of Indirect Evidence

    Bradley Efron

    págs. 145-157

    

  • Comment: The Need for Syncretism in Applied Statistics

    Sander Greenland

    págs. 158-161

    

  • Bayesian Statistics Then and Now

    Andrew Gelman

    págs. 162-165

    

  • Comment: How Should Indirect Evidence Be Used?

    Robert Kass

    págs. 166-169

    

  • Rejoinder: The Future of Indirect Evidence

    Bradley Efron

    págs. 170-171

    

  • The Random Walk Metropolis: Linking Theory and Practice Through a Case Study

    Chris Sherlock, Paul Fearnhead, Gareth O. Roberts

    págs. 172-190

    

  • Stochastic Approximation and Modern Model-Based Designs for Dose-Finding Clinical Trials

    Ying Kuen Cheung

    págs. 191-201

    

  • Continual Reassessment and Related Dose-Finding Designs

    John O´quigley, Mark Conaway

    págs. 202-216

    

  • Dose Finding with Escalation with Overdose Control (EWOC) in Cancer Clinical Trials

    Mourad Tighiouart, André Rogatko

    págs. 217-226

    

  • Bayesian Models and Decision Algorithms for Complex Early Phase Clinical Trials

    Peter F. Thall

    págs. 227-244

    

  • Approximate Dynamic Programming and Its Applications to the Design of Phase I Cancer Trials

    Jay Bartroff, Tze Leung Lai

    págs. 245-257

    

  • A Conversation with Martin Bradbury Wilk

    Christian Genest, Gordon J Brackstone

    págs. 258-273

    
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  Año 2010, Vol. 25, Número 3

  • Connected Spatial Networks over Random Points and a Route-Length Statistic

    David Aldous, Julian Shun

    págs. 275-288

    

  • To Explain or to Predict?

    Galit Shmueli

    págs. 289-310

    

  • Graphics Processing Units and High-Dimensional Optimization

    Hua Zhou, Kenneth Lange, Marc A. Suchard

    págs. 311-324

    

  • A Family of Generalized Linear Models for Repeated Measures with Normal and Conjugate Random Effects

    Geert Molenberghs, Geert Verbeke, Clarice Garcia Borges Demétrio, Afrânio M. C. Vieira

    págs. 325-347

    

  • On the Sample Information About Parameter and Prediction

    Nader Ebrahimi, Ehsan S. Soofi, Refik Soyer

    págs. 348-367

    

  • Graphical Models for Inference Under Outcome-Dependent Sampling

    Vanessa Didelez, Svend Kreiner, Niels Keiding

    págs. 368-387

    

  • Laplace Approximated EM Microarray Analysis: An Empirical Bayes Approach for Comparative Microarray Experiments

    Haim Y. Bar, James G. Booth, Elizabeth Schifano, Martin T. Wells

    págs. 388-407

    

  • A Conversation with George C. Tiao

    Daniel Peña Sánchez de Rivera, Ruey S. Tsay

    págs. 408-428

    
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  Año 2010, Vol. 25, Número 4

  • Cross-Fertilizing Strategies for Better EM Mountain Climbing and DA Field Exploration: A Graphical Guide Book

    David A. van Dyk, Xiao-Li Meng

    págs. 429-449

    

  • The EM Algorithm in Genetics, Genomics and Public Health

    Nan M. Laird

    págs. 450-457