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Preventing and Treating Missing Data in Longitudinal Clinical Trials
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.
Essential CNS Drug Development
Central Nervous System disorders have an enormous impact on individuals and on society as a whole. The development of better treatments is crucial and is a major focus of pharmaceutical and biotechnology companies. This book explains the complicated process of CNS drug development in a way that is engaging for any interested professional or student. Chapters cover each stage of drug development, from pre-clinical research through all phases of clinical trials, to reporting to the regulatory authorities. Other key issues covered include strategic considerations, regulatory constraints, dissemination of results and ethical considerations. The user-friendly format and style enable readers to find important information quickly and easily. Written and edited by experts from different sectors actively engaged in CNS drug development, this is a unique resource for drug developers, investigators, academics and clinicians.
Analyzing Longitudinal Clinical Trial Data
Analyzing Longitudinal Clinical Trial Data: A Practical Guide provides practical and easy to implement approaches for bringing the latest theory on analysis of longitudinal clinical trial data into routine practice.The book, with its example-oriented approach that includes numerous SAS and R code fragments, is an essential resource for statisticians and graduate students specializing in medical research. The authors provide clear descriptions of the relevant statistical theory and illustrate practical considerations for modeling longitudinal data. Topics covered include choice of endpoint and statistical test; modeling means and the correlations between repeated measurements; accounting for covariates; modeling categorical data; model verification; methods for incomplete (missing) data that includes the latest developments in sensitivity analyses, along with approaches for and issues in choosing estimands; and means for preventing missing data. Each chapter stands alone in its coverage of a topic. The concluding chapters provide detailed advice on how to integrate these independent topics into an over-arching study development process and statistical analysis plan.
Electronic Health Records and Medical Big Data
This book provides interdisciplinary analysis of electronic health record systems and medical big data, offering a wealth of technical, legal, and policy insights.
Estimands, Estimators and Sensitivity Analysis in Clinical Trials
The concepts of estimands, analyses (estimators), and sensitivity are interrelated. Therefore, great need exists for an integrated approach to these topics. This book acts as a practical guide to developing and implementing statistical analysis plans by explaining fundamental concepts using accessible language, providing technical details, real-world examples, and SAS and R code to implement analyses. The updated ICH guideline raises new analytic and cross-functional challenges for statisticians. Gaps between different communities have come to surface, such as between causal inference and clinical trialists, as well as among clinicians, statisticians, and regulators when it comes to communic...
The Webbink Family
Also includes information about the Webbink family in the Netherlands.
AMSTAT News
None
American Journal of Veterinary Research
Volumes for 1956- include selected papers from the proceedings of the American Veterinary Medical Association.
