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Statistical Methods for Healthcare Performance Monitoring
Healthcare is important to everyone, yet large variations in its quality have been well documented both between and within many countries. With demand and expenditure rising, it’s …
Statistical Methods in Drug Combination Studies
The growing interest in using combination drugs to treat various complex diseases has spawned the development of many novel statistical methodologies. The theoretical development, …
Benefit-Risk Assessment Methods in Medical Product Development
Guides You on the Development and Implementation of B–R EvaluationsBenefit–Risk Assessment Methods in Medical Product Development: Bridging Qualitative and Quantitative Assessments …
Mixture Modelling for Medical and Health Sciences
Mixture Modelling for Medical and Health Sciences provides a direct connection between theoretical developments in mixture modelling and their applications in real world problems. …
Essentials of a Successful Biostatistical Collaboration
The aim of this book is to equip biostatisticians and other quantitative scientists with the necessary skills, knowledge, and habits to collaborate effectively with clinicians in …
Applied Biclustering Methods for Big and High-Dimensional Data Using R
Proven Methods for Big Data Analysis As big data has become standard in many application areas, challenges have arisen related to methodology and software development, including …
Bayesian Methods for Repeated Measures
Analyze Repeated Measures Studies Using Bayesian TechniquesGoing beyond standard non-Bayesian books, Bayesian Methods for Repeated Measures presents the main ideas for the analysis …
Modern Adaptive Randomized Clinical Trials
Is adaptive randomization always better than traditional fixed-schedule randomization? Which procedures should be used and under which circumstances? What special considerations …
Patient-Reported Outcomes Data Analysis in Clinical Research
This book presents a hands-on tutorial on how to analyze patient-reported outcomes (PROs) in clinical research. PROs research often involves asking patients to fill out surveys to …
Adaptive Design Theory and Implementation Using SAS and R
Get Up to Speed on Many Types of Adaptive DesignsSince the publication of the first edition, there have been remarkable advances in the methodology and application of adaptive …
Applied Surrogate Endpoint Evaluation Methods with SAS and R
An important factor that affects the duration, complexity and cost of a clinical trial is the endpoint used to study the treatment’s efficacy. When a true endpoint is difficult to …
Quantitative Methods for Precision Medicine
Modern medicine is undergoing a paradigm shift from a "one-size-fits-all" strategy to a more precise patient-customized therapy and medication plan. While the success of precision …