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Preventing and Treating Missing Data in Longitudinal Clinical Trials
Focuses on the prevention and treatment of missing data in longitudinal clinical trials, looking at key principles and explaining analytic methods.
Analyzing Longitudinal Clinical Trial Data
Missing data in longitudinal clinical trials has justifiably been the target of considerable research. However, missing data is just one of the many considerations in the analysis of longitudinal data, and focus on the data we don't have should not distract from focus on the data we do have. The statistical theory relevant to analyses of longitudinal data is extensive. However, the greatest difficulty may not be in knowing the theory, but rather in putting the theory into useful practice. Therefore, this book focuses on the most relevant and current theory for the common issues faced in planning and implementing analyses for longitudinal trials.
Preventing and Treating Missing Data in Longitudinal Clinical Trials
Focuses on the prevention and treatment of missing data in longitudinal clinical trials, looking at key principles and explaining analytic methods.
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...
Building Your Career as a Statistician
"This book is intended for anyone who is considering a career in statistics or a related field, or those at any point in their career with sufficient work time remaining such that investing in additional learning could be beneficial. As such, the book would be suitable for anyone pursing an MS or PhD in statistics or those already working in statistics. The book focuses on the non-statistical aspects of being a statistician that are crucial for success. These factors include 1) productivity and prioritization, 2) innovation and creativity, 3) communication, 4) critical thinking and decisions under uncertainty, 5) influence and leadership, 6) working relationships, and 7) career planning and ...
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.
Essential CNS Drug Development
Presents the complicated process of CNS drug development in a way that is engaging and informative for professionals and students.
American Journal of Veterinary Research
Volumes for 1956- include selected papers from the proceedings of the American Veterinary Medical Association.
