For the automated recognition of people based on intrinsic physical or behavioural traits, see Biometrics. Biostatistics is the application of statistics to a wide range of topics in biology. Introduction to biostatistics pdf major branch is medical biostatistics, which is exclusively concerned with medicine and health. Biostatistical modeling forms an important part of numerous modern biological theories.
In the early 1900s, after the rediscovery of Gregor Mendel’s Mendelian inheritance work, the gaps in understanding between genetics and evolutionary Darwinism led to vigorous debate between biometricians, such as Walter Weldon and Karl Pearson, and Mendelians, such as Charles Davenport, William Bateson and Wilhelm Johannsen. By the 1930s, statisticians and models built on statistical reasoning had helped to resolve these differences and to produce the neo-Darwinian modern evolutionary synthesis. The leading figures in the establishment of population genetics and this synthesis all relied on statistics and developed its use in biology. Haldane’s book, The Causes of Evolution, reestablished natural selection as the premier mechanism of evolution by explaining it in terms of the mathematical consequences of Mendelian genetics.
These and other biostatisticians, mathematical biologists, and statistically inclined geneticists helped bring together evolutionary biology and genetics into a consistent, coherent whole that could begin to be quantitatively modeled. In parallel to this overall development, the pioneering work of D’Arcy Thompson in On Growth and Form also helped to add quantitative discipline to biological study. Despite the fundamental importance and frequent necessity of statistical reasoning, there may nonetheless have been a tendency among biologists to distrust or deprecate results which are not qualitatively apparent.