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Produktbild: Chen, D: Clinical Trial Data Analysis Using R

Chen, D: Clinical Trial Data Analysis Using R

Fr. 110.00

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Beschreibung

"With examples based on the authors' 30 years of real-world experience in many areas of clinical drug development, this book provides a thorough presentation of clinical trial methodology. It presents detailed step-by-step illustrations on the implementation of the open-source software R. Case studies...

Beschreibung

"With examples based on the authors' 30 years of real-world experience in many areas of clinical drug development, this book provides a thorough presentation of clinical trial methodology. It presents detailed step-by-step illustrations on the implementation of the open-source software R. Case studies demonstrate how to select the appropriate clinical trial data. The authors introduce the corresponding biostatistical analysis methods, followed by the step-by-step data analysis using R. They also offer the R program for download, along with other essential data, on their website"--Provided by publisher.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

17.12.2010

Abbildungen

61 black & white illustrations, 15 black & white tables

Verlag Taylor & Francis

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

17.12.2010

Abbildungen

61 black & white illustrations, 15 black & white tables

Verlag Taylor & Francis
Seitenzahl

387

Maße (L/B/H)

18.1/24/2.4 cm

Gewicht

728 g

Sprache

Englisch

ISBN

978-1-4398-4020-7

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  • Produktbild: Chen, D: Clinical Trial Data Analysis Using R
  • Introduction to R What Is R? Steps on Installing R and Updating R Packages R for Clinical Trials A Simple Simulated Clinical Trial Concluding Remarks Overview of Clinical Trials Introduction Phases of Clinical Trials and Objectives The Clinical Development Plan Biostatistical Aspects of a Protocol Treatment Comparisons in Clinical Trials Data from Clinical Trials Statistical Models for Treatment Comparisons Data Analysis in R Treatment Comparisons in Clinical Trials with Covariates Data from Clinical Trials Statistical Models Incorporating Covariates Data Analysis in R Analysis of Clinical Trials with Time-to-Event Endpoints Clinical Trials with Time-to-Event Data Statistical Models Statistical Methods for Right-Censored Data Statistical Methods for Interval-Censored Data Step-by-Step Implementations in R Analysis of Data from Longitudinal Clinical Trials Clinical Trials Statistical Models Analysis of Data from Longitudinal Clinical Trials Sample Size Determination and Power Calculation in Clinical Trials Prerequisites for Sample Size Determination Comparison of Two Treatment Groups with Continuous Endpoints Two Binomial Proportions Time-to-Event Endpoint Design of Group Sequential Trials Longitudinal Trials Relative Changes and Coefficient of Variation: An Extra Meta-Analysis of Clinical Trials Data from Clinical Trials Statistical Models for Meta-Analysis Meta-Analysis of Data in R Bayesian Analysis Methods in Clinical Trials Bayesian Models R Packages in Bayesian Modeling MCMC Simulations Bayesian Data Analysis Analysis of Bioequivalence Clinical Trials Data from Bioequivalence Clinical Trials Bioequivalence Clinical Trial Endpoints Statistical Methods to Analyze Bioequivalence Step-by-Step Implementation in R Analysis of Adverse Events in Clinical Trials Adverse Event Data from a Clinical Trial Statistical Methods Step-by-Step Implementation in R Analysis of DNA Microarrays in Clinical Trials DNA Microarray Breast Cancer Data Bibliography Index Concluding Remarks appear at the end of each chapter.