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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 the healthcare field. The book provides valuable insight on where to look for information and material on sample size and statistical techniques commonly used in clinical research, and on how best to communicate with clinicians. It also covers the best practices to adopt in terms of project, time, and data management; relationship with collaborators; etc.
List of contents
Essential Knowledge Skills. Study Design. Sample Size/Power Calculations. Randomization. Data Management. Statistical Analysis Plans. Effective Communication/Writing Skills. Email Discussions versus Face-To-Face Meetings. Use of Technology. Math Equation Writers. Understanding Medical Lingo. Explaining Statistical Concepts to a Non-Statistician. Use of Graphs and Pictures to Communicate. Myths about Working with Biostatisticians. Writing Statistical Sections in a Grant Application versus Publication and Presentation. Understanding and Using Standard Reporting Templates. Best Practices. Project Management. Ensuring Consistency and Reproducibility in Your Results. Choosing Your Collaborator. How to Collaborate Early In the Stage of the Project. Managing Conflicts with Collaborators. Negotiating Authorship. Database Security and Confidentiality.
About the author
Arul Earnest is an associate professor at School of Public Health and Preventive Medicine, Monash University, Australia. He was previously the director of the Centre for Quantitative Medicine, Duke-NUS Graduate Medical School, Singapore.
Summary
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 the healthcare field. The book provides valuable insight on where to look for information and material on sample size and statistical techniques commonly used in clinic
