Sommaire du Fascicule no. 1

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

Stuart, Elizabeth A.

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p. 1-21

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Assumptions of IV Methods for Observational Epidemiology

Didelez, Vanessa ; Meng, Sha ; Sheehan, Nuala A.

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p. 22-40

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

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

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p. 41-50

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Identification, Inference and Sensitivity Analysis for Causal Mediation Effects

Imai, Kosuke ; Keele, Luke ; Yamamoto, Teppei

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p. 51-71

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Dempster–Shafer Theory and Statistical Inference with Weak Beliefs

Martin, Ryan ; Zhang, Jianchun ; Liu, Chuanhai

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p. 72-87

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Particle Learning and Smoothing

Carvalho, Carlos M. ; Johannes, Michael S. ; Lopes, Hedibert F. ; Polson, Nicholas G.

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p. 88-106

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

Paciorek, Christopher J.

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p. 107-125

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A Conversation with James Hannan

Gilliland, Dennis ; Ramamoorthi, R. V.

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p. 126-144

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The Future of Indirect Evidence

Efron, Bradley

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p. 145-157

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Comment: The Need for Syncretism in Applied Statistics

Greenland, Sander

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p. 158-161

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Bayesian Statistics Then and Now

Gelman, Andrew

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p. 162-165

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Comment: How Should Indirect Evidence Be Used?

Kass, Robert E.

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p. 166-169

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Rejoinder: The Future of Indirect Evidence

Efron, Bradley

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p. 170-171

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

Sherlock, Chris ; Fearnhead, Paul ; Roberts, Gareth O.

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p. 172-190

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

Cheung, Ying Kuen

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p. 191-201

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Continual Reassessment and Related Dose-Finding Designs

O’Quigley, John ; Conaway, Mark

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p. 202-216

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

Tighiouart, Mourad ; Rogatko, André

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p. 217-226

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Bayesian Models and Decision Algorithms for Complex Early Phase Clinical Trials

Thall, Peter F.

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p. 227-244

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

Bartroff, Jay ; Lai, Tze Leung

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p. 245-257

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A Conversation with Martin Bradbury Wilk

Genest, Christian ; Brackstone, Gordon

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p. 258-273

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

Aldous, David J. ; Shun, Julian

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p. 275-288

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To Explain or to Predict?

Shmueli, Galit

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p. 289-310

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Graphics Processing Units and High-Dimensional Optimization

Zhou, Hua ; Lange, Kenneth ; Suchard, Marc A.

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p. 311-324

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

Molenberghs, Geert ; Verbeke, Geert ; Demétrio, Clarice G. B. ; Vieira, Afrânio M. C.

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p. 325-347

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On the Sample Information About Parameter and Prediction

Ebrahimi, Nader ; Soofi, Ehsan S. ; Soyer, Refik

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p. 348-367

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Graphical Models for Inference Under Outcome-Dependent Sampling

Didelez, Vanessa ; Kreiner, Svend ; Keiding, Niels

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p. 368-387

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

Bar, Haim ; Booth, James ; Schifano, Elizabeth ; Wells, Martin T.

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p. 388-407

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A Conversation with George C. Tiao

Peña, Daniel ; Tsay, Ruey S.

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p. 408-428

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

van Dyk, David A. ; Meng, Xiao-Li

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p. 429-449

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The EM Algorithm in Genetics, Genomics and Public Health

Laird, Nan M.

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p. 450-457

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Learning Active Basis Models by EM-Type Algorithms

Si, Zhangzhang ; Gong, Haifeng ; Zhu, Song-Chun ; Wu, Ying Nian

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p. 458-475

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The EM Algorithm and the Rise of Computational Biology

Fan, Xiaodan ; Yuan, Yuan ; Liu, Jun S.

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p. 476-491

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The MM Alternative to EM

Wu, Tong Tong ; Lange, Kenneth

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p. 492-505

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From EM to Data Augmentation: The Emergence of MCMC Bayesian Computation in the 1980s

Tanner, Martin A. ; Wong, Wing H.

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p. 506-516

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Block-Conditional Missing at Random Models for Missing Data

Zhou, Yan ; Little, Roderick J. A. ; Kalbfleisch, John D.

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p. 517-532

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Parameter Expansion and Efficient Inference

Lewandowski, Andrew ; Liu, Chuanhai ; Vander Wiel, Scott

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p. 533-544

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A Statistical Model to Explain the Mendel–Fisher Controversy

Pires, Ana M. ; Branco, João A.

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p. 545-565

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A Conversation with George G. Roussas

Bhattacharya, Debasis ; Samaniego, Francisco J.

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p. 566-587

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