HK Medical Statistics

For Beginners
1. Auflage 2016
ISBN: 978-981-10-1923-4
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 188 Seiten

Reihe: Medicine (R0)

This book deals with statistics in medicine in a simple way. The text is supported by abundant examples from medical data. This book aims to explain and simplify the process of data presentation. Further aspects addressed include how to design and conduct clinical trials, and how to write journal articles. 
 

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

HK, Ramakrishna

Inhaltsverzeichnis

Introduction.- Understanding Biostatistics, Probability and Tests of Significance.- Understanding Basic Statistical Terms.- Chi Square Test.- Student’s T Test.- Fisher’s Test.- Other Commonly Used  Concepts.- Designing a Study or Clinical Trial.- General considerations.- Collection and Compilation of Data.- Data analysis and inference.- Presentation of data and Results.- Evidence Based Medicine.- Writing an Article for Journals.

Über Autor(innen)

Dr Ramakrishna H K completed MBBS from Government Medical College, Bellary in 1989 and MS in General Surgery at Karnataka Medical College, Hubli 1992 and DNB (Diplomate of National Board) in General Surgery,1993. He started first Upper GI Endoscopy center in 1995 & first laparoscopic surgery center in 2001 in Bhadravathi, a rural area. He started mobile laparoscopic surgery unit started in 2005 to extend the benefits of laparoscopic surgery to nearby rural places. The unit covered a distance of about 60 km radius. 

He has to his credit several articles published in various journals. He is also a reviewer for many journals like BMJ case reports, World Journal of Gastroenterology.

He got many best paper awards in the conferences. He has given many guest lectures in conferences both at state and at national levels. He has convened many symposia in state conferences. He has been judge for award papers in conferences. He is in charge of web site of KSCASI. (www.kscasi.com).

He is keenly interested in Medical Statistics.