Preventing And Treating Missing Data In Longitudinal Clinical Trials PDF Download
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Author | : Craig Mallinckrodt |
Publisher | : |
Total Pages | : 165 |
Release | : 2013 |
Genre | : Clinical trials |
ISBN | : |
Download Preventing and Treating Missing Data in Longitudinal Clinical Trials Book in PDF, ePub and Kindle
Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have allowed implementation of a wide array of analyses. In fact, so many methods are available that it can be difficult to ascertain when to use which method. This book focuses on the prevention and treatment of missing data in longitudinal clinical trials. Based on his extensive experience with missing data, the author offers advice on choosing analysis methods and on ways to prevent missing data through appropriate trial design and conduct. He offers a practical guide to key principles and explains analytic methods for the non-statistician using limited statistical notation and jargon. The book's goal is to present a comprehensive strategy for preventing and treating missing data, and to make available the programs used to conduct the analyses of the example dataset"
Author | : Craig H. Mallinckrodt |
Publisher | : Cambridge University Press |
Total Pages | : 185 |
Release | : 2013-01-28 |
Genre | : Mathematics |
ISBN | : 1107031389 |
Download Preventing and Treating Missing Data in Longitudinal Clinical Trials Book in PDF, ePub and Kindle
Focuses on the prevention and treatment of missing data in longitudinal clinical trials, looking at key principles and explaining analytic methods.
Author | : Craig Mallinckrodt |
Publisher | : |
Total Pages | : 186 |
Release | : 2013 |
Genre | : Clinical trials |
ISBN | : 9781107309128 |
Download Preventing and Treating Missing Data in Longitudinal Clinical Trials Book in PDF, ePub and Kindle
Focuses on the prevention and treatment of missing data in longitudinal clinical trials, looking at key principles and explaining analytic methods.
Author | : Craig Mallinckrodt |
Publisher | : |
Total Pages | : |
Release | : 2013 |
Genre | : |
ISBN | : 9781107301832 |
Download Preventing and Treating Missing Data in Longitudinal Clinical Trials Book in PDF, ePub and Kindle
Author | : National Research Council |
Publisher | : National Academies Press |
Total Pages | : 162 |
Release | : 2011-01-21 |
Genre | : Medical |
ISBN | : 0309158141 |
Download The Prevention and Treatment of Missing Data in Clinical Trials Book in PDF, ePub and Kindle
Randomized clinical trials are the primary tool for evaluating new medical interventions. Randomization provides for a fair comparison between treatment and control groups, balancing out, on average, distributions of known and unknown factors among the participants. Unfortunately, these studies often lack a substantial percentage of data. This missing data reduces the benefit provided by the randomization and introduces potential biases in the comparison of the treatment groups. Missing data can arise for a variety of reasons, including the inability or unwillingness of participants to meet appointments for evaluation. And in some studies, some or all of data collection ceases when participants discontinue study treatment. Existing guidelines for the design and conduct of clinical trials, and the analysis of the resulting data, provide only limited advice on how to handle missing data. Thus, approaches to the analysis of data with an appreciable amount of missing values tend to be ad hoc and variable. The Prevention and Treatment of Missing Data in Clinical Trials concludes that a more principled approach to design and analysis in the presence of missing data is both needed and possible. Such an approach needs to focus on two critical elements: (1) careful design and conduct to limit the amount and impact of missing data and (2) analysis that makes full use of information on all randomized participants and is based on careful attention to the assumptions about the nature of the missing data underlying estimates of treatment effects. In addition to the highest priority recommendations, the book offers more detailed recommendations on the conduct of clinical trials and techniques for analysis of trial data.
Author | : Craig H. Mallinckrodt |
Publisher | : Cambridge University Press |
Total Pages | : 185 |
Release | : 2013-01-28 |
Genre | : Medical |
ISBN | : 1107311365 |
Download Preventing and Treating Missing Data in Longitudinal Clinical Trials Book in PDF, ePub and Kindle
Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have allowed implementation of a wide array of analyses. In fact, so many methods are available that it can be difficult to ascertain when to use which method. This book focuses on the prevention and treatment of missing data in longitudinal clinical trials. Based on his extensive experience with missing data, the author offers advice on choosing analysis methods and on ways to prevent missing data through appropriate trial design and conduct. He offers a practical guide to key principles and explains analytic methods for the non-statistician using limited statistical notation and jargon. The book's goal is to present a comprehensive strategy for preventing and treating missing data, and to make available the programs used to conduct the analyses of the example dataset.
Author | : Michael O'Kelly |
Publisher | : John Wiley & Sons |
Total Pages | : 472 |
Release | : 2014-02-14 |
Genre | : Medical |
ISBN | : 1118762533 |
Download Clinical Trials with Missing Data Book in PDF, ePub and Kindle
This book provides practical guidance for statisticians, clinicians, and researchers involved in clinical trials in the biopharmaceutical industry, medical and public health organisations. Academics and students needing an introduction to handling missing data will also find this book invaluable. The authors describe how missing data can affect the outcome and credibility of a clinical trial, show by examples how a clinical team can work to prevent missing data, and present the reader with approaches to address missing data effectively. The book is illustrated throughout with realistic case studies and worked examples, and presents clear and concise guidelines to enable good planning for missing data. The authors show how to handle missing data in a way that is transparent and easy to understand for clinicians, regulators and patients. New developments are presented to improve the choice and implementation of primary and sensitivity analyses for missing data. Many SAS code examples are included – the reader is given a toolbox for implementing analyses under a variety of assumptions.
Author | : Hrishikesh Chakraborty |
Publisher | : RTI Press |
Total Pages | : 12 |
Release | : 2009-02-28 |
Genre | : Computers |
ISBN | : |
Download A mixed model approach for intent-to-treat analysis in longitudinal clinical trials with missing values Book in PDF, ePub and Kindle
Missing values and dropouts are common issues in longitudinal studies in all areas of medicine and public health. Intent-to-treat (ITT) analysis has become a widely accepted method for the analysis of controlled clinical trials. In most controlled clinical trials, some patients do not complete their intended followup according to the protocol for a variety of reasons; this problem generates missing values. Missing values lead to concern and confusion in identifying the ITT population, which makes the data analysis more complex and challenging. No adequate strategy exists for ITT analyses of longitudinal controlled clinical trial data with missing values. Several ad hoc strategies for dealing with missing values for an ITT analysis are common in the practice of controlled clinical trials. We performed a detailed investigation based on simulation studies to develop recommendations for this situation. We compared sizes (type I errors) and power between some popular ad hoc approaches and the linear mixed model approach under different missing value scenarios. Our results suggest that, for studies with a high percentage of missing values, the mixed model approach without any ad hoc imputation is more powerful than other options.
Author | : Michael J. Daniels |
Publisher | : CRC Press |
Total Pages | : 324 |
Release | : 2008-03-11 |
Genre | : Mathematics |
ISBN | : 1420011189 |
Download Missing Data in Longitudinal Studies Book in PDF, ePub and Kindle
Drawing from the authors' own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis describes a comprehensive Bayesian approach for drawing inference from incomplete data in longitudinal studies. To illustrate these methods, the authors employ
Author | : Steven Piantadosi |
Publisher | : Springer Nature |
Total Pages | : 2573 |
Release | : 2022-07-19 |
Genre | : Medical |
ISBN | : 3319526367 |
Download Principles and Practice of Clinical Trials Book in PDF, ePub and Kindle
This is a comprehensive major reference work for our SpringerReference program covering clinical trials. Although the core of the Work will focus on the design, analysis, and interpretation of scientific data from clinical trials, a broad spectrum of clinical trial application areas will be covered in detail. This is an important time to develop such a Work, as drug safety and efficacy emphasizes the Clinical Trials process. Because of an immense and growing international disease burden, pharmaceutical and biotechnology companies continue to develop new drugs. Clinical trials have also become extremely globalized in the past 15 years, with over 225,000 international trials ongoing at this point in time. Principles in Practice of Clinical Trials is truly an interdisciplinary that will be divided into the following areas: 1) Clinical Trials Basic Perspectives 2) Regulation and Oversight 3) Basic Trial Designs 4) Advanced Trial Designs 5) Analysis 6) Trial Publication 7) Topics Related Specific Populations and Legal Aspects of Clinical Trials The Work is designed to be comprised of 175 chapters and approximately 2500 pages. The Work will be oriented like many of our SpringerReference Handbooks, presenting detailed and comprehensive expository chapters on broad subjects. The Editors are major figures in the field of clinical trials, and both have written textbooks on the topic. There will also be a slate of 7-8 renowned associate editors that will edit individual sections of the Reference.