Statistics as Efficient TOOL of Analysis in the Biomedical Research

Authors

  • Vitthalrao B. Khyade
  • Hanumant V. Wanve

DOI:

https://doi.org/10.9756/IAJSE/V5I1/1810007

Keywords:

Big data, Statistics, Epidemiology, Clinical Trials, Bionformatics, Health care

Abstract

The biostatistics can be defined as the analysis oriented applications of statistics to a wide range of topics in biology. Biostatistics encompasses the design of biological experiments, especially in medicine, pharmacy, agriculture and fishery; the collection of data, summarization, and analysis of data. It further concerned with interpretation of, and inference from, the results. The medical biostatistics is exclusively concerned with medicine and health. The discipline of biostatistics is nowadays a fundamental scientific component of research in biomedical, public health and health services. Traditional and emerging areas of application include clinical trials research, observational studies, physiology, imaging, and genomics. The present article reviews the current situation of biostatistics, considering the statistical methods traditionally used in biomedical research, as well as the ongoing development of new methods in response to the new problems arising in medicine. Clearly, the successful application of statistics in biomedical research requires appropriate training of biostatisticians. This training should aim to give due consideration to emerging new areas of statistics, while at the same time retaining full coverage of the fundamentals of statistical theory and methodology. In addition, it is important that students of biostatistics receive formal training in relevant biomedical disciplines, such as epidemiology, clinical trials, molecular biology, genetics, and neuroscience

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Published

2018-06-01

Issue

Section

Articles

How to Cite

Khyade, V. B., & Wanve, H. V. (2018). Statistics as Efficient TOOL of Analysis in the Biomedical Research. International Academic Journal of Science and Engineering, 5(1), 73-84. https://doi.org/10.9756/IAJSE/V5I1/1810007