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Statistics applied to clinical trials

This title explains statistical analyses of clinical trials, as well as novel issues, such as equivalence testing, interim analyses, sequential analyses and meta-analyses.

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  • "This title explains statistical analyses of clinical trials, as well as novel issues, such as equivalence testing, interim analyses, sequential analyses and meta-analyses."
  • "This title explains statistical analyses of clinical trials, as well as novel issues, such as equivalence testing, interim analyses, sequential analyses and meta-analyses."@en
  • "The previous three editions of this book, rather than having been comprehensive, concentrated on the most relevant aspects of statistical analysis. Although well-received by students, clinicians, and researchers, these editions did not answer all of their questions. This updated and extended edition has been written to serve as a more complete guide and reference-text to students, physicians, and investigators, and, at the same time, preserves the common sense approach to statistical problem-solving of the previous editions. In 1948 the first randomized controlled trial was published by the English Medical Research Council in the British Medical Journal. Until then, observations had been uncontrolled. Initially, trials frequently did not confirm hypotheses to be tested. This phenomenon was attributed to little sensitivity due to small samples, as well as inappropriate hypotheses based on biased prior trials. Additional flaws were being recognized and, subsequently were better accounted for: carryover effects due to insufficient washout from previous treatments, time effects due to external factors and the natural history of the condition under study, bias due to asymmetry between treatment groups, lack of sensitivity due to a negative correlation between treatment responses etc. Such flaws mainly of a technical nature have been largely implemented and lead to trials after 1970 being of significantly better quality than before. The past decade focused, in addition to technical aspects, on the need for circumspection in planning and conducting of clinical trials. As a consequence, prior to approval, clinical trial protocols are now routinely scrutinized by different circumstantial organs, including ethic committees, institutional and federal review boards, national and international scientific organizations, and monitoring committees charged with conducting interim analysis. The present book not only explains classical statistical analysis of clinical trials, but also addresses relatively novel issues, including equivalence testing, interim analysis, sequential analysis, meta-analysis, and provides a framework of the best statistical methods currently available for such purpose. This book is not only useful for investigators involved in the field of clinical trials, but also for students and physicians who wish to better understand the data of trials as published currently."@en
  • "In 1948 the first randomized controlled trial was published by the English Medical Research Council in the British Medical Journal. Until then, observations had been uncontrolled. Initially, trials frequently did not confirm the hypotheses to be tested. This phenomenon was attributed to low sensitivity due to small samples, as well as inappropriate hypotheses based on biased prior trials. Additional flaws were recognized and, subsequently, were better accounted for: carryover effects due to insufficient washout from previous treatments, time effects due to external factors and the natural history of the condition under study, bias due to asymmetry between treatment groups, lack of sensitivity due to a negative correlation between treatment responses, and so on. Such flaws, mainly of a technical nature, have been largely corrected and led to trials after 1970 being of significantly higher quality. The past decade has focused, in addition to technical aspects, on the need for circumspection in the planning and conducting of clinical trials. As a consequence, prior to approval, clinical trial protocols are now routinely scrutinized by different circumstantial organs, including ethics committees, institutional and federal review boards, national and international scientific organizations, and monitoring committees charged with conducting interim analyses. This book not only explains classical statistical analyses of clinical trials, but also addresses relatively novel issues, including equivalence testing, interim analyses, sequential analyses, and meta-analyses, and provides a framework of the best statistical methods currently available for such purposes. This book is not only useful for investigators involved in the field of clinical trials, but also for all physicians who wish to better understand the data of trials as currently published."@en
  • "In 1948 the first randomized controlled trial was published by the English Medical Research Council in the <em>British Medical Journal</em>. Until then, observations had been uncontrolled. Initially, trials frequently did not confirm hypotheses to be tested. This phenomenon was attributed to low sensitivity due to small samples, as well as inappropriate hypotheses based on biased prior trials. Additional flaws were recognized and subsequently were better accounted for: carryover effects due to insufficient washout from previous treatments, time effects due to external factors and the natural history of the condition under study, bias due to asymmetry between treatment groups, lack of sensitivity due to a negative correlation between treatment responses, etc. Such flaws, mainly of a technical nature, have been largely corrected and led to trials after 1970 being of significantly better quality than before. The past decade has focused, in addition to technical aspects, on the need for circumspection in planning and conducting of clinical trials. As a consequence, prior to approval, clinical trial protocols are now routinely scrutinized by different circumstantial bodies, including ethics committees, institutional and federal review boards, national and international scientific organizations, and monitoring committees charged with conducting interim analyses. <br/> This book not only explains classical statistical analyses of clinical trials, but addresses relatively novel issues, including equivalence testing, interim analyses, sequential analyses, and meta-analyses, and provides a framework of the best statistical methods currently available for such purposes. The book is not only useful for investigators involved in the field of clinical trials, but also for all physicians who wish to better understand the data of trials as currently published."@en
  • "Prior to approval, clinical trial protocols are routinely scrutinized by different circumstantial organs, including ethics committees, institutional and federal review boards, and monitoring committees who conduct interim analyses. This book explains classical statistical analyses of clinical trials and addresses relatively novel issues."@en
  • "Explains classical statistical analysis of clinical trials. This book addresses relatively novel issues, including equivalence testing, interim analysis, sequential analysis, meta-analysis, and provides a framework of the best statistical methods available for such purpose. It is suitable for investigators in the field of clinical trials."
  • "Explains classical statistical analysis of clinical trials. This book addresses relatively novel issues, including equivalence testing, interim analysis, sequential analysis, meta-analysis, and provides a framework of the best statistical methods available for such purpose. It is suitable for investigators in the field of clinical trials."@en

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  • "Electronic books"
  • "Electronic books"@en
  • "Llibres electrònics"

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  • "Statistics applied to clinical trials"
  • "Statistics applied to clinical trials"@en
  • "Statistics Applied to Clinical Trials"
  • "Statistics Applied to Clinical Trials"@en

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