K.S. Kushwaha, C.M. Pandey, N.P.Singh, R. Ramesh, S.B.Barbuddhe
K.S. Kushwaha M.Sc., P.S.C.C., Ph.D.(Statistics) Recipient of Dr. Radha Krishnan Award (1992) Associate Professor (Statistics) Jawaharlal Nehru Krishi Vishwavidyalya Jabalpur, 482004, India
C.M. Pandey M.Sc., Ph.D. (Statistics) Professor and Head Department of Biostatistics and Health Informatics Sanjay Gandhi Post Graduate Institute of Medical Sciences Lucknow - 226014, India
N.P.Singh is presently working as Director, ICAR Research Complex for Goa, Ela, Old Goa, Goa, India
R. Ramesh is a member of editorial board of the journal, Indian Phytopathology. He is presently working as Senior Scientist at ICAR Research Complex for Goa and his current areas of research are plant-pathogen interaction and plant disease management.
S.B.Barbuddhe is presently working as Senior Scientist at ICAR Research Complex for Goa and Project Coordinator of Centre of Excellence and Innovation in Biotechnology sponsored by Department of Biotechnology, Govt. of India on “Translational centre for molecular epidemiology of Listeria monocytogenes”.
The book is aimed at providing an understanding of basic principles and practices of Biostatistics. Attempt has been made to give a comprehensive inside into the basic concepts of biostatistics i.e. sound easy to read, relevant and useful to students and practitioners of biostatistics. The book includes the design of clinical trials and epidemiological studies collection of data, research methods, clinical measurement and sample size, calculations for various study designs. This makes it a handbook of biostatistics for students and researchers for agriculture, veterinary, life sciences, medicine, public health, biological and social sciences.
Role of Statistics and Biostatistics in Health Sciences
Summarization and Presentation of Data
Theory of Estimation
Testing of Statistical Hypothesis
Analysis of Variance and Multisample Comparison
Hypothesis Testing for Categorical Data
Non Parametric Methods
Simple Correlation and Regression
Epidemiological Study Designs and Analysis
Demographic Methods and Vital Statistics
Applied Regression Analysis and Multivariate Methods