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However, "biostatistics" more commonly connotes all applications of statistics to biology. [2] Medical statistics is a subdiscipline of statistics. It is the science of summarizing, collecting, presenting and interpreting data in medical practice, and using them to estimate the magnitude of associations and test hypotheses.
Introduction [ edit ] Whereas traditional bioinformatics is a wide subject it has a large focus on molecular biology , pharmaceutical bioinformatics more specifically targets chemical-biological interaction and exploratory focus of chemical and biological interactors using e.g. cheminformatics and chemometrics methods.
Biostatistics (also known as biometry) is a branch of statistics that applies statistical methods to a wide range of topics in biology. It encompasses the design of biological experiments , the collection and analysis of data from those experiments and the interpretation of the results.
Biostatistics is a branch of biology that studies biological phenomena and observations by means of statistical analysis, and includes medical statistics. Business analytics is a rapidly developing business process that applies statistical methods to data sets (often very large) to develop new insights and understanding of business performance ...
This is especially important when the consequence of failing to treat the condition is serious and/or the treatment is very effective and has minimal side effects. A test which reliably excludes individuals who do not have the condition, resulting in a high number of true negatives and low number of false positives, will have a high specificity.
Physical pharmacy is the branch of pharmacy that concentrates on the applications of physics and chemistry to the study of pharmacy. In other words, it is the study of the effects that dosage forms have on their environment by addressing issues at the molecular level. [ 1 ]
Pharmacology is not synonymous with pharmacy and the two terms are frequently confused. Pharmacology, a biomedical science , deals with the research, discovery, and characterization of chemicals which show biological effects and the elucidation of cellular and organismal function in relation to these chemicals.
Important sub-disciplines within bioinformatics and computational biology include: Development and implementation of computer programs to efficiently access, manage, and use various types of information. Development of new mathematical algorithms and statistical measures to assess relationships among members of large data sets.