Essentials Of Biostatistics


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ESSENTIALS OF BIOSTATISTICS & RESEARCH METHODOLOGY


ESSENTIALS OF BIOSTATISTICS & RESEARCH METHODOLOGY

Author: INDRANIL SAHA

language: en

Publisher: Academic Publishers

Release Date: 2020-10-20


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This text book is a comprehensive, user friendly and easy to read resource on Biostatistics and Research Methodology. It is meant for undergraduate and post graduate students of medical and biomedical sciences. Health researchers, research supervisors and faculty members may find it useful as a reference book.

Essentials of Biostatistics in Public Health


Essentials of Biostatistics in Public Health

Author: Lisa Marie Sullivan

language: en

Publisher:

Release Date: 2012


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Second Edition, comes packaged with an access code that gives you entre to an online workbook for statistical computing using Microsoft Excel. The online workbook is available in both Mac and PC versions. Essentials of Biostatistics in Public Health, Second Edition provides a fundamental and engaging background for students learning to apply and appropriately interpret biostatistics applications in the field of public health. Many examples are drawn directly from the author's remarkable clinical experiences with the renowned Framingham Heart Study, making this text practical, interesting, and accessible for those with little mathematical background. The examples are real, relevant, and manageable in size so that students can easily focus on applications rather than become overwhelmed by computations. The text is accompanied by an online workbook: Statistical Computing Using Microsoft Excel (for Mac or PC).

Essential Biostatistics


Essential Biostatistics

Author: Harvey Motulsky

language: en

Publisher: Oxford University Press

Release Date: 2016


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With its engaging and conversational tone, Essential Biostatistics: A Nonmathematical Approach provides a clear introduction to statistics for students in a wide range of fields, and a concise statistics refresher for scientists and professionals who need to interpret statistical results. It explains the ideas behind statistics in nonmathematical terms, offers perspectives on how to interpret published statistical results, and points out common conceptual traps to avoid. It can be used as a stand-alone text or as a supplement to a traditional statistics textbook.