Monday, 10 October 2016

Senior biostatistician Arul Earnest publishes biostatistics book

SPHPM biostatistician Associate Professor Arul Earnest recently authored a book Essentials of a Successful Biostatistical Collaboration to help equip quantitative analysts on best practices about methodological concepts such as study designs, database design and statistical analysis.

Associate Professor Earnest works with the Biostatistics Unit and is also a Senior Biostatistician in the Registry Sciences Unit within the Department of Epidemiology and Preventive Medicine (DEPM). He was previously the Director of the Centre for Quantitative Medicine (CQM) at Duke-NUS in Singapore, a collaboration between Duke University in the US and the National University of Singapore.

He said he was motivated to write the book as biostatisticians were relatively new in the field of medical research and he hoped the book will help guide biostatisticians and data analysts in their work and raise the level of statistical literacy among medical researchers.

“In terms of collaboration, most biostatisticians learn their tools of the trade through on-the-job-training, and they either pick up the skills on the job through experience gained from a large number of collaborative projects or learn from an experienced mentor if available,” Associate Professor Earnest said.

He hopes the book will lessen the steep learning curve experienced in this profession, as the book provides valuable insights on both ‘hard’ and ‘soft’ skills used in biostatistics as well as advice on how best to communicate with clinicians, manage relationships with collaborators as well as how to adopt best practice in terms of project timelines, data management and writing skills.

“The book will also be an ideal resource for postgraduate biostatistics and epidemiology students, to prepare them for a career as a collaborating biostatistician or data analyst in an academic institution or hospital setting,” Associate Professor Earnest said.

His current research interest is in Bayesian spatio-temporal models as well as statistical models for registry sciences, but he also enjoys mentoring students and colleagues in the biostatistics field.

For more than 15 years, Associate Professor Earnest Arul Earnest has provided consultative and collaborative methodological input to various collaborators and researchers resulting in more than 125 publications in a variety of peer-reviewed international medical journals, two book chapters, 13 successful grant applications, as well as more than 50 invited talks and presentations.

The book can be purchased here.

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