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Statistical Reasoning for Surgeons - Mitchell G. Maltenfort

Statistical Reasoning for Surgeons

By: Mitchell G. Maltenfort, Camilo Restrepo, Antonia F. Chen

Paperback | 29 December 2020 | Edition Number 1

At a Glance

Paperback


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Trying to read up on statistics can be like trying to decide where you want to start eating the elephant and what's the most digestible way to get it down. This book is written to give bite-size nuggets of insight based on our experiences grappling with datasets large and small. It is intended to bridge the gap between the formal equations and the practicalities of generating a research manuscript. We won't pretend reading it will answer all your questions but it will help explain what questions need to be asked for your study and how you can address them with both accuracy and clarity. The size, detail and (ostensible) organization of this book allow for easy reading and can give a leg (or at least a half-step) up for those seeking more detailed study later.

Features include:

  • Excel sheets to allow exploration of topics raised
  • Emphasis on intuitive explanations over formulas.
  • Consideration of issues specific to clinical and surgical studies

Our audience is someone who may or may not have enjoyed formal statistics education (that is, you may have had it and not enjoyed it!) who may like seeing a more dressed-down presentation of the topics. Actual statisticians may pick this up at risk of a chuckle (with us or at us) and may find some useful ways to present topics to non-statisticians.

Industry Reviews

'To summarize, this is a different kind of book, atypical of other statistics books. It is suitable for anyone wanting to refresh or refine their statistical understanding of research and decision-making. The reader should be able to breeze through the chapters quickly if they choose to. Others would find it so entertaining that they would likely read it over and over. Although it is a fun and enlightening read on a relatively dry subject like statistics, some chapters probably would still give you a dry feeling.
It was a fun read, nevertheless.'

- Enayet Raheem, International Society for Clinical Biostatistics, 72, 2021

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