Statistics in Genetic Data Analysis

Statistics in Genetic Data Analysis

Author/Editor :

S. Venkatasubramanian, J. Kezia Angeline

Pages :

207

Specialty :

Genetics (clinical)

Book Type :

Academic & Professional

Statistics and Genetics are two different fields, which are like oceans by themselves. Any field, in its development, will be incomplete without Statistics, since evidence is needed for proof and validation, which is obtained by performing standard statistical procedures. In this monograph, we try to bridge the gap between Statistics and Genetics, thereby, hoping to give some significant ideas and guidelines to the researchers in the field of Statistical Genetics. 

Dedication    v
About the Book    vii
Foreword    ix
Preface    xiii
Acknowledgement    xvii

An Introduction to Concepts in Genetics, Genetic Data & Statistical View of Genetic Data    1
Statistical Principles Used in Analyzing Genetic Information: Explained    34
Discussion Cum Annotated Bibliography ed Articles: Statistical Principlesof Identi 
Used in Analyzing Genetic Information    81
Use & Misuse of Statistical Concepts in Genetic Data Analysis    120
Scope for Progress    134
Appendices    139
References    160
Reference Books    172
Web-Links    175
Index    177

Dr. S. Venkatasubramanian is currently holding the position of PRINCIPAL TECHNICAL OFFICER (Statistics) / (Deputy Director Grade) and a faculty for M.sc (Bio-Statistics) course at National Institute Of Epidemiology (NIE), Indian Council Of Medical Research (ICMR) Chennai, Tamil Nadu, India. He did his M.Sc (Statistics) at PSG College of Arts and Science in Coimbatore, Madras University in the year 1983. He obtained his Post Graduate Diploma in Operations Research from Coimbatore Institute of Technology, Bharathiar University, Coimbatore in the year 1988 and Ph.D (Statistics) from Madras University in 2004. Since 1984, he has been actively involved in major research activities at ICMR-NIE requiring methodological investigations of public health importance and coverage evaluation surveys. He has been a co-investigator of the project Indian Rotavirus surveillance network established by ICMR since 2005. He is mentoring and providing guidance to M.Sc and M. PH scholars at ICMR-NIE.

He has authored/ co-authored about 25 papers in national /international journals and scientific magazines like Indian Journal of Medical Research, Indian Pediatrics and Vaccine (Elsiver Group). His areas of interest are: Statistical Inference, Estimation, Sampling Methodologies/Design of Surveys for estimation of parameters of health indicators and disease surveillance projects.

Ms. J. Kezia Angeline has completed her Post Graduate degree in Biostatistics at ICMR – National Institute of Epidemiology, Chennai affiliated to Periyar University, Salem in May –June 2019. She completed B.Sc. Nursing in College of Nursing – Sri Ramakrishna Institute of Paramedical Sciences, Coimbatore affiliated to the Tamil Nadu Dr. M.G.R. Medical University in August 2014. She worked as a Nursing Tutor in Texcity College of Nursing, Coimbatore, from 08.12.2014 to 30.06.2017. She has presented a paper titled: “Mendelian Randomization – A Blueprint for Causal Inference in Genetic Epidemiology” – at the 36th Annual Conference of Indian Society for Medical Statistics (ISMSCON – 2018), organized by the Department of Biostatistics, NIMHANS, Bengaluru, Karnataka. She did a project on “Assessment Of Burnout Syndrome Among Staff Nurses Working In Intensive Care Unit At Sri. Ramakrishna Hospital, Coimbatore.” She published a research article on: “Lyme’s Disease with Quadriplegia” in International Journal of Advances in Nursing Management 2(4): October-December 2014 with ISSN-2347-8632.

Subject Category : Medicine


TABLE OF CONTENTS AND LIST OF CONTRIBUTORS


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BIBLIOGRAPHY


ISBN 978-81-942550-5-5
Publisher Red Flower Publications
Publication Date 2020-02-01
Edition 1 st

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