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 | Adaptive Design Theory and Implementation Using SAS and R (Chapman & Hall/Crc Biostatistics) by Mark Chang
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 | Adaptive Design Methods in Clinical Trials (Biostatistics) by Shein-Chung Chow
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 | Bootstrap Methods and Their Application (Cambridge Series in Statistical and Probabilistic Mathematics , No 1) by A. C. Davison
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 | Bootstrap Methods: A Guide for Practitioners and Researchers (Wiley Series in Probability and Statistics) by Michael R. Chernick
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 | Randomization, Bootstrap and Monte Carlo Methods in Biology, Third Edition (Texts in Statistical Science Series) by Bryan F.J. Manly
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 | Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap (Wiley Series in Probability and Statistics) by Michael R. Chernick
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 | Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment (Wiley Series in Probability and Statistics) by Peter H. Westfall
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 | Resampling Methods for Dependent Data (Springer Series in Statistics) by S.N. Lahiri
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 | Introduction to Statistics Through Resampling Methods and R/S-PLUS by Phillip I. Good
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 | Bayesian Data Analysis, Second Edition (Texts in Statistical Science) by Andrew Gelman
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 | Bayesian Computation with R (Use R) by Jim Albert
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 | The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation (Springer Texts in Statistics) by Christian P. Robert
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 | Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statistics) by Jean-Michel Marin
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 | Bayesian Methods: A Social and Behavioral Sciences Approach, Second Edition (Statistics in the Social and Behavioral Sciences) by Jeff Gill
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 | Bayesian Survival Analysis by Joseph G. Ibrahim
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 | Statistical Decision Theory and Bayesian Analysis (Springer Series in Statistics) by James O. Berger
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 | Bayesian Approaches to Clinical Trials and Health-Care Evaluation (Statistics in Practice) by David J. Spiegelhalter
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 | Bayesian Theory (Wiley Series in Probability and Statistics) by José M. Bernardo
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 | An Introduction to Bayesian Analysis: Theory and Methods (Springer Texts in Statistics) by Jayanta K. Ghosh
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 | Applied Multivariate Analysis: Using Bayesian and Frequentist Methods of Inference, Second Edition by S. James Press
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 | Applied Bayesian Modelling (Wiley Series in Probability and Statistics) by Peter Congdon
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 | Subjective and Objective Bayesian Statistics: Principles, Models, and Applications (Wiley Series in Probability and Statistics) by S. James Press
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 | The Advanced Theory of Statistics, Vol. 2B: Bayesian Inference by Harvey J. Gold
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 | Bayesian Nonparametrics by J.K. Ghosh
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 | Bayesian Statistics: Principles, Models, and Applications (Wiley Series in Probability and Statistics) by S. James Press
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 | Bayesian Biostatistics and Diagnostic Medicine by Lyle D. Broemeling
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 | Markov Chain Monte Carlo in Practice: Interdisciplinary Statistics (Chapman & Hall/CRC Interdisciplinary Statistics Series)
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 | Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition (Texts in Statistical Science Series) by Dani Gamerman
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 | Monte Carlo Statistical Methods (Springer Texts in Statistics) by Christian P. Robert
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 | Monte Carlo Methods in Bayesian Computation (Springer Series in Statistics) by Ming-Hui Chen
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 | Statistical Analysis with Missing Data, Second Edition by Roderick J. A. Little
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 | Missing Data in Clinical Studies (Statistics in Practice) by Geert Molenberghs
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 | Semiparametric Theory and Missing Data (Springer Series in Statistics) by Anastasios A. Tsiatis
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 | Multiple Imputation for Nonresponse in Surveys (Wiley Classics Library) by Donald B. Rubin
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 | Group Sequential Methods: Applications to Clinical Trials (Chapman & Hall/Crc Interdisciplinary Statistics Series) by Christopher Jennison
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 | Group Sequential and Adaptive Methods for Clinical Trials, Second Edition (Interdisciplinary Statistics) by Christopher Jennison
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 | The Design and Analysis of Sequential Clinical Trials, 2.Rev.Ed. by John Whitehead
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 | Principles of Data Mining (Adaptive Computation and Machine Learning) by David J. Hand
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 | The Elements of Statistical Learning by T. Hastie
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