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Clinical Trial Data Analysis Using R and SAS

. -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation;

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Clinical Trial Data Analysis Using R and SAS

. -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation of biostatistical;

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Implementing CDISC Using SAS

For decades researchers and programmers have used SAS to analyze, summarize, and report clinical trial data. Now Chris Holland and Jack;

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Implementing CDISC Using SAS

For decades researchers and programmers have used SAS to analyze, summarize, and report clinical trial data. Now Chris Holland and Jack;

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Analysis of Clinical Trials Using SAS

in biostatistics will greatly benefit from the decades of clinical research experience compiled in Analysis of Clinical Trials Using SAS: A Practical Guide;

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Analysis of Clinical Trials Using SAS

in biostatistics will greatly benefit from the decades of clinical research experience compiled in Analysis of Clinical Trials Using SAS: A Practical Guide;

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Analysis of Clinical Trials Using SAS

in biostatistics will greatly benefit from the decades of clinical research experience compiled in Analysis of Clinical Trials Using SAS: A Practical Guide;

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Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS

-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS enable the clinical trial team to take a proactive approach to data;

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SAS Programming in the Pharmaceutical Industry

sets, producing clinical trial output, and exporting data.;

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Modern Approaches to Clinical Trials Using SAS

Get the tools you need to use SAS® in clinical trial design! Unique and multifaceted, Modern Approaches to Clinical Trials Using SAS;

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Modern Approaches to Clinical Trials Using SAS

Get the tools you need to use SAS in clinical trial design! Unique and multifaceted, Modern Approaches to Clinical Trials Using SAS;

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SAS Programming in the Pharmaceutical Industry

data into analysis data sets, producing clinical trial output, and exporting data. Valuable plug-and-play programming examples are provided;

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Applied Econometrics Using the SAS System

The first cutting-edge guide to using the SAS(R) system for the analysis of econometric data Applied Econometrics Using the SAS(R) System;

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SAS Programming in the Pharmaceutical Industry, Second Edition

analysis and reporting of clinical trial data in the pharmaceutical industry.SAS Programming in the Pharmaceutical Industry, Second Edition begins;

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Analysis of Correlated Data with SAS and R

Analysis of Correlated Data with SAS and R: 4th edition presents an applied treatment of recently developed statistical models and methods;

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Analysis of Correlated Data with SAS and R

Analysis of Correlated Data with SAS and R: 4th edition presents an applied treatment of recently developed statistical models and methods;

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Analyzing Longitudinal Clinical Trial Data: A Practical Guide

Analyzing Longitudinal Clinical Trial Data: A Practical Guide provides practical and easy to implement approaches for bringing the latest;

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Analyzing Longitudinal Clinical Trial Data: A Practical Guide

Analyzing Longitudinal Clinical Trial Data: A Practical Guide provides practical and easy to implement approaches for bringing the latest;

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SAS Essentials

A step-by-step introduction to using SAS (R) statistical software as a foundational approach to data analysis and interpretation;

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Validating Clinical Trial Data Reporting with SAS

This indispensable guide focuses on validating programs written to support the clinical trial process from after the data collection stage;

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Biostatistics and Computer-based Analysis of Health Data Using SAS

, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and;

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SAS and R

between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management;

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Adaptive Design Theory and Implementation Using SAS and R

methodology and application of adaptive trials. Incorporating many of these new developments, Adaptive Design Theory and Implementation Using SAS and;

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