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  • Pharmaceutical Quality by Design Using JMP : Solving Product Development and Manufacturing Problems - Rob Lievense
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  • Practical Data Analysis with JMP, Third Edition - Robert Carver
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    Robert Carver
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  • The Little SAS Book : A Primer, Sixth Edition - Lora D. Delwiche
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    Lora D. Delwiche and Susan J. Slaughter
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    SAS Institute
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  • Simulating Data with SAS - Rick Wicklin
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    Rick Wicklin
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  • Statistical Programming with SAS/IML Software - Rick Wicklin
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    Rick Wicklin
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  • Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS - Richard C. Zink
    Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS
    Richard C. Zink
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  • Discovering Partial Least Squares with JMP - Ian Cox
    Discovering Partial Least Squares with JMP
    Ian Cox and Marie Gaudard
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  • How to Become a Top SAS Programmer - Michael A. Raithel
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    Michael A. Raithel
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  • Biostatistics by Example Using SAS Studio - Ron Cody
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    Ron Cody
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  • Customer Segmentation and Clustering Using SAS Enterprise Miner - Randall S. Collica
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    Randall S. Collica
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  • Data Quality for Analytics Using SAS - Gerhard Svolba
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  • JMP for Basic Univariate and Multivariate Statistics : Methods for Researchers and Social Scientists - PhD Ann Lehman
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    PhD Ann Lehman, Ph.D. Larry Hatcher and Ph.D. Edward J. Stepanski
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  • JMP Start Statistics : A Guide to Statistics and Data Analysis Using JMP, Sixth Edition - John Sall
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  • Multiple Imputation of Missing Data Using SAS - Patricia Berglund
    Multiple Imputation of Missing Data Using SAS
    Patricia Berglund and Steven G. Heeringa
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  • Preparing Data for Analysis with JMP - Robert Carver
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  • Predictive Modeling with SAS Enterprise Miner : Practical Solutions for Business Applications, Third Edition - Kattamuri S. Sarma
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  • Text Mining and Analysis : Practical Methods, Examples, and Case Studies Using SAS - Dr. Goutam Chakraborty
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  • Implementing CDISC Using SAS : An End-to-End Guide, Revised Second Edition - Chris Holland
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    Chris Holland and Jack Shostak
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  • Administrative Healthcare Data : A Guide to Its Origin, Content, and Application Using SAS - Craig Dickstein
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    Craig Dickstein and Renu Gehring
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  • Analysis of Clinical Trials Using SAS : A Practical Guide, Second Edition - Gary G. Koch
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    Gary G. Koch
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    Michele M. Burlew
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  • Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner : A Beginner's Guide - Olivia Parr-Rud
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    Olivia Parr-Rud
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  • Design and Analysis of Experiments by Douglas Montgomery : A Supplement for Using JMP - Heath Rushing
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    Heath Rushing, Andrew Karl and James Wisnowski
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  • Building Better Models with JMP Pro - Jim Grayson
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    Jim Grayson, Sam Gardner and Mia Stephens
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  • SAS Programming in the Pharmaceutical Industry - Jack Shostak
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    Jack Shostak
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  • Applied Data Mining for Forecasting Using SAS - Tim Rey
    Applied Data Mining for Forecasting Using SAS
    Tim Rey, Arthur Kordon and Chip Wells
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  • A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling - Ph.D. Larry Hatcher
    A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling
    Ph.D. Larry Hatcher
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  • Modern Approaches to Clinical Trials Using SAS : Classical, Adaptive, and Bayesian Methods - Sandeep Menon
    Modern Approaches to Clinical Trials Using SAS
    Classical, Adaptive, and Bayesian Methods
    Sandeep Menon and Richard C. Zink
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  • Data Management and Analysis Using JMP : Health Care Case Studies - Patricia Schaffer
    Data Management and Analysis Using JMP
    Health Care Case Studies
    Patricia Schaffer and Jane E Oppenlander
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  • Strategies for Formulations Development : A Step-by-Step Guide Using JMP - Ronald Snee
    Strategies for Formulations Development
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    Ronald Snee and Roger Hoerl
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  • Practical and Efficient SAS Programming : The Insider's Guide - Martha Messineo
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    The Insider's Guide
    Martha Messineo
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  • Clinical Graphs Using SAS - Sanjay Matange
    Clinical Graphs Using SAS
    Sanjay Matange
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  • The SAS Programmer's PROC REPORT Handbook : Basic to Advanced Reporting Techniques - Jane Eslinger
    The SAS Programmer's PROC REPORT Handbook
    Basic to Advanced Reporting Techniques
    Jane Eslinger
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  • Cody's Data Cleaning Techniques Using SAS, Third Edition - Ron Cody
    Cody's Data Cleaning Techniques Using SAS, Third Edition
    Ron Cody
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  • PROC SQL : Beyond the Basics Using SAS, Third Edition - Kirk Paul Lafler
    PROC SQL
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    Kirk Paul Lafler
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  • SAS Text Analytics for Business Applications : Concept Rules for Information Extraction Models - Teresa Jade
    SAS Text Analytics for Business Applications
    Concept Rules for Information Extraction Models
    Teresa Jade, Biljana Belamaric-Wilsey and Michael Wallis
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  • Portfolio and Investment Analysis with SAS : Financial Modeling Techniques for Optimization - John B. Guerard
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    Financial Modeling Techniques for Optimization
    John B. Guerard, Ziwei Wang and Ganlin Xu
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  • Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II - Maxime Descoteaux
    Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017
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    Maxime Descoteaux, Lena Maier-Hein, Alfred Franz, Pierre Jannin and Simon Duchesne
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  • Linear Time Series with MATLAB and OCTAVE : Statistics and Computing - Víctor Gómez
    Linear Time Series with MATLAB and OCTAVE
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    Víctor Gómez
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  • Analytical and Stochastic Modelling Techniques and Applications : 24th International Conference, ASMTA 2017, Newcastle-upon-Tyne, UK, July 10-11, 2017, Proceedings - Nigel Thomas
    Analytical and Stochastic Modelling Techniques and Applications
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    Nigel Thomas and Matthew Forshaw
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  • Fundamentals of Programming in SAS : A Case Studies Approach - James Blum
    Fundamentals of Programming in SAS
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    James Blum and Jonathan Duggins
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    The Ridiculously Simple Guide to Google Analytics
    The Absolute Beginners Guide to Google Analytics
    Scott La Counte
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  • Introduction to Biostatistics with JMP (Hardcover edition) - Steve Figard
    Introduction to Biostatistics with JMP (Hardcover edition)
    Steve Figard
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  • Energy Power Risk : Derivatives, Computation and Optimization - George Levy
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    George Levy
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  • Compositional Data Analysis in Practice : Chapman & Hall/CRC Interdisciplinary Statistics - Michael Greenacre
    Compositional Data Analysis in Practice
    Chapman & Hall/CRC Interdisciplinary Statistics
    Michael Greenacre
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  • Interactive Web-Based Data Visualization with R, plotly, and shiny : Chapman & Hall/CRC The R Series - Carson Sievert
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    Chapman & Hall/CRC The R Series
    Carson Sievert
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  • Ancient and Modern Freethinkers - Charles Bradlaugh
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  • Deep Learning Cookbook : Practical Recipes to Get Started Quickly - Douwe Osinga
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  • Computational Discrete Mathematics : Combinatorics and Graph Theory with Mathematica ® - Sriram Pemmaraju
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  • Introduction to Computational Genomics : A Case Studies Approach - Nello Cristianini
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  • Statistics and Data Science : Research School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24-26, 2019, Proceedings - Hien Nguyen
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  • Possibility Theory for the Design of Information Fusion Systems : Information Fusion and Data Science - Basel Solaiman
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  • Finite Mixture of Skewed Distributions : SpringerBriefs in Statistics - Víctor Hugo Lachos Dávila
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  • Learn R for Applied Statistics : With Data Visualizations, Regressions, and Statistics - Eric Goh Ming Hui
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  • Pattern Recognition Applications and Methods : 8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, Revised Selected Papers - Maria De Marsico
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  • Finite Form Representations for Meijer G and Fox H Functions : Applied to Multivariate Likelihood Ratio Tests Using Mathematica®, MAXIMA and R - Carlos A. Coelho
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  • The Theory of Queuing Systems with Correlated Flows - Alexander N. Dudin
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  • Distributed Computer and Communication Networks : 22nd International Conference, DCCN 2019, Moscow, Russia, September 23-27, 2019, Revised Selected Papers - Vladimir M. Vishnevskiy
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    Distributed Computer and Communication Networks
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  • Top 20 MS Excel VBA Simulations, VBA to Model Risk, Investments, Growth, Gambling, and Monte Carlo Analysis - Andrei Besedin
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  • Programming Quantum Computers : Essential Algorithms and Code Samples - Eric R. Johnston
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