Details

An Introduction to Statistics in Early Phase Trials


An Introduction to Statistics in Early Phase Trials


1. Aufl.

von: Steven Julious, Say Beng Tan, David Machin

91,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 19.01.2010
ISBN/EAN: 9780470319178
Sprache: englisch
Anzahl Seiten: 272

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Beschreibungen

All new medicines and devices undergo early phase trials to assess, interpret and better understand their efficacy, tolerability and safety. <i>An Introduction to Statistics in Early Phase Trials</i> describes the practical design and analysis of these important early phase clinical trials and provides the crucial statistical basis for their interpretation. It clearly and concisely provides an overview of the most common types of trials undertaken in early phase clinical research and explains the different methodologies used. The impact of statistical technologies on clinical development and the statistical and methodological basis for making clinical and investment decisions are also explained. <ul> <li>Conveys key ideas in a concise manner understandable by non-statisticians</li> <li>Explains how to optimise designs in a constrained or fixed resource setting</li> <li>Discusses decision making criteria at the end of Phase II trials</li> <li>Highlights practical day-to-day issues and reporting of early phase trials</li> </ul> <p><i>An Introduction to Statistics in Early Phase Trials</i> is an essential guide for all researchers working in early phase clinical trial development, from clinical pharmacologists and pharmacokineticists through to clinical investigators and medical statisticians. It is also a valuable reference for teachers and students of pharmaceutical medicine learning about the design and analysis of clinical trials.</p>
<p>Chapter 1 Early phase trials 1</p> <p>Chapter 2 Introduction to pharmacokinetics 13</p> <p>Chapter 3 Sample size calculations for clinical trials 37</p> <p>Chapter 4 Crossover trial basics 55</p> <p>Chapter 5 Multi-period crossover trials 71</p> <p>Chapter 6 First time into man 87</p> <p>Chapter 7 Bayesian and frequentist methods 113</p> <p>Chapter 8 First-time-into-new-population studies 125</p> <p>Chapter 9 Bioequivalence studies 139</p> <p>Chapter 10 Other Phase I trials 169</p> <p>Chapter 11 Phase II trials: general issues 187</p> <p>Chapter 12 Dose–response studies 197</p> <p>Chapter 13 Phase II trials with toxic therapies 211</p> <p>Chapter 14 Interpreting and applying early phase trial results 223</p> <p>Chapter 15 Go/No-Go criteria 231</p> <p>Appendix 245</p> <p>References 251</p> <p>Index 257</p>
"An Introduction to Statistics in Early Phase Trials" is an admirably concise and practical guide to the pertinent context, principles and formulae for statisticians inexpert in the application of their discipline to Phase I and II clinical research". (Journal of Clinical Research Best Practices, 1 March 2011)<br /> <br /> <p>“<i>An Introduction to Statistics in Early Phase Trials</i> provides concise descriptions of many early phase trial designs, along with the statistical equations necessary to gather and analyze the data”  (<i>Annals of Pharmacotherapy, 2010</i>)</p> <p>"I enjoyed reading the work of Dr. Julious, Tan, and Machin,found it quite useful, and recommend it to others teaching about, working with, or considering work in the learning phase of drug development." (<i>Journal of Biopharmaceutical Statistics</i>, <i>2011</i>)</p> <br /> <br /> <br /> <br />
<b>Steven A. Julious</b>, Medical Statistics Group, School of Health and Related Research, University of Sheffield, UK.  <p><b>Say-Beng Tan</b>, Singapore Clinical Research Institute and Duke-NUS Graduate Medical School, Singapore.</p> <p><b>David Machin</b>, Children's Cancer and Leukaemia Group (CCLG), University of Leicester, UK.</p>
All new medicines and devices undergo early phase trials to assess, interpret and better understand their efficacy, tolerability and safety. <i>An Introduction to Statistics in Early Phase Trials</i> describes the practical design and analysis of these important early phase clinical trials and provides the crucial statistical basis for their interpretation. It clearly and concisely provides an overview of the most common types of trials undertaken in early phase clinical research and explains the different methodologies used. The impact of statistical technologies on clinical development and the statistical and methodological basis for making clinical and investment decisions are also explained. <ul> <li>Conveys key ideas in a concise manner understandable by non-statisticians</li> <li>Explains how to optimise designs in a constrained or fixed resource setting</li> <li>Discusses decision making criteria at the end of Phase II trials</li> <li>Highlights practical day-to-day issues and reporting of early phase trials</li> </ul> <p><i>An Introduction to Statistics in Early Phase Trials</i> is an essential guide for all researchers working in early phase clinical trial development, from clinical pharmacologists and pharmacokineticists through to clinical investigators and medical statisticians. It is also a valuable reference for teachers and students of pharmaceutical medicine learning about the design and analysis of clinical trials.</p>

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