Centre of Healthcare Technologies and Informatics(CEHTI), Department of Biotechnology and Bioinformatics & Department of Mathematics, JUIT
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Biostatistics has become a defined branch of science that uses an intricate combination of Statistics, Probability, Mathematics and Computation to model and solve real life problems in biological, computational and biomedical sciences. As a discipline designed to yield information, biostatistics may also be considered as a highly-developed branch of medical informatics, which in turn forms part of the bioinformatics and computational biology domains. Consequently, biostatistics draws quantitative methods from fields including statistics, operations research, economics, and mathematics in general; and it is applied to research questions in the fields such as public health (including epidemiology, nutrition, environmental health, and health services research), genomics and population genetics, medicine, and ecology. Research in medicine and public health has been both a beneficiary of this new methodology and a source of new problems including recent pandemic situations.
In view the usefulness of statistical techniques in Biotechnology, Bioinformatics, Computer Science, Medical Sciences and Healthcare Technologies, Centre of Healthcare Technologies and Informatics (CEHTI), Department of Biotechnology and Bioinformatics and Department of Mathematics propose to organize a fourth edition of One-week National Workshop on Statistical Techniques in Biological, Computational and Medical Sciences (STBMS). First edition of STBMS was organized during June, 2016 and second edition was organized during June, 2018. STBMS 2020 edition was cancelled due to Covid pandemic. Third edition was organized during June 2022.
Relevance and Importance of STBMS:
Statistics is an indispensable tool for national development, growth and planning. A government without viable infrastructure for information generation, dissemination and usage is severely handicapped in doing proper planning, monitoring and evaluation of development programmes and projects. Additionally, in arriving at good decision with respect to their government policy formation. Monitoring is a continuous process that requires data which is generated to assist in establishing whether planned targets are likely to be achieved or not. This is another area where Statistics plays an important role. Biomedical data is generated at an unprecedented rate and therefore there is a need to provide tools and techniques for collecting, storing and analyzing this huge amount of data. Statistics can provide all these solutions when connected with information and computational sciences.
Target Audience
The course is intended for Academics, as well as targeted towards researchers of varied profession such as medicine, public health, life science, computer science, engineering, social science, nursing, epidemiology, biostatistics etc. Participants may be medical doctors, nurses, clinicians, epidemiologists, psychologists, physiotherapists, biochemists, statisticians, computer scientists, social scientists, UG, PG, PhD students, faculty members of science, engineering and medical disciplines, and public health researchers who are interested in data analysis.
