1st Edition

Essentials of a Successful Biostatistical Collaboration




ISBN 9781482226980
Published September 19, 2016 by Chapman and Hall/CRC
280 Pages - 93 B/W Illustrations

USD $89.95

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Book Description

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.

Table of Contents

Observational Study Designs
Introduction
Comparative features between cohort, case-control and cross-sectional studies
Selecting the appropriate study design
Key questions to ask clinician
Common mistakes
Online tools and resources
A collaborative case-study
Key learning points

Randomised Controlled Trials
Introduction
Phases and types of trials
Types and features of randomisation
Controls and Blinding
Other types of RCTs
Data and Safety Monitoring Board (DSMB)
Choosing outcome measures for a trial
Key questions to ask clinicians
Tools and resources
A collaborative case-study
Key learning points

Form Design and Database Management
Introduction
Principles of questionnaire design
Types of variables and scales of measurement
Finding a suitable database software for your study
Efficient ways to create and manage an Excel database
Key questions to ask clinician
Common mistakes to avoid
Tools and resources
A collaborative case-study
Key learning points

Sample Size and Power Calculations
Introduction
Hypothesis testing and sample size: linking them
Ingredients in a sample size calculation
Commonly performed sample size calculations
Key questions to ask clinician
Common mistakes
Tools and resources
A collaborative case-study
Key learning points

Statistical Analysis Plan
Introduction
Choosing the appropriate statistical method
Common statistical hypotheses and tests
Univariate analysis
Bivariate analysis
Multivariate analysis
Issues to note
Key questions to ask clinicians
A collaborative case-study|
Key learning points

Effective Communication Skills
Introduction
The initial meeting
Difficulty in understanding medical jargons
Challenges in explaining statistical concepts to clinicians
Effective presentation skills
Tools and resources
A collaborative case-study
Key learning points

Effective Writing Skills
Introduction
Writing a statistical analysis plan for a grant application
Writing for a publication- first author publication
Discussion & Conclusion
Writing for a publication- collaborative publication
Resources
Key learning points

Project Management- Best Practices
Introduction
Creation of a project file
Database security and confidentiality
Standard Operating Procedures (SOPs)
Ensuring consistency and reproducibility in the results
Managing multiple projects
Obtaining mentorship
Poor project management skills (The ‘Not’s to avoid)
A collaborative case-study
Key learning points

Managing Collaborations
Introduction
Getting the most out of a collaboration
Providing collaboration in a large complex institution- Hub and spoke model
Providing consultations
Seven faces of collaborators
Useful strategies to adopt in managing a collaboration
Responding to unreasonable work requests
Reasoning with a collaborator who engages in data dredging
Coping with an unreasonable request on turnaround time
Negotiating authorship
International collaborators
Key learning points

How Not to Design, Analyse and Present your Study
Introduction
Choosing the inappropriate study design
Selecting too few subjects in the study
Incorrect use of randomization
Undertaking incorrect statistical tests
Not checking for the assumptions behind the test
Data dredging
Presenting tables and figures inappropriately
Reporting and interpreting data inappropriately
Conclusion

Views from the Ground- A Survey among Biostatisticians and a Chat with Clinicians
Introduction
Survey methodology & profile of respondents
Problems ever faced in collaborating with clinicians
Training on collaboration/consultation skills
Frequency of performing selected tasks as a biostatistician
Issues to address in order to enhance greater collaborations
Skills most important to gain on improving collaborations with clinicians
Views from clinicians who have collaborated with biostatisticians
Conclusion

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Author(s)

Biography

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.

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Author - Arul  Earnest
Author

Arul Earnest

Associate Professor (Biostatistics), Monash University
, Melbourne, Australia

Learn more about Arul Earnest »

Reviews

"Finally! A book that really captures the essence of what it takes for statisticians to collaborate successfully with others to solve health and medical problems!" ~The American Statistician