-
Detailed clinical descriptions of dysentery, malaria, syphilis and tuberculosis
Thomas Sydenham proposed the basis to recognize diseases like entities and the current system of classification of diseases. -
Tables of mortality.
John Graunt, identified a pattern in the causes of death between rural and urban areas and developed tables of mortality -
Political Arithmetic by William Petty
William Petty published works related to patterns of mortality, birth and illness among the English population and proposed the creation of a government agency.This way of handling the information was named political arithmetic. -
Laws of desease
They were developed by insurance companies to establish the costs of life insurance.
Tables were developed by committees selected in Sweden, the Richard Price in England, and Charles Olipahnt in Scotland -
Prevalence, incidence and duration of diseases
William Farr discovered the relationship between the prevalence incidence and duration of disease. -
Principles of Medical Statistics by Austin Bradford Hill
Sir Austin Bradford Hill wrote a series of articles in which explains the use of statistics in medicine, these were collected in the book "Principles of Medical Statistics" -
"Statistical Methods for Research Workers"
Ronald Arnold Fisher published the book "Statistical Methods for Research Workers" -
First randomized clinical trial
The first clinical trial reported the use of Streptomycin in the treatment of pulmonary tuberculosis. -
Causal factors of deseases
The relationship between certain environmental conditions, lifestyle, genetic load and the risk of some diseases in some populations at risk was formalized by Brian Mac Mahon as a model. -
Genetic association studies
Association studies compare the relative frequency of the variations of some polymorphisms between affected individuals and a proper control group. -
Period: to
Statistical Methods to investigate the way in which genetic factors are involved in the occurrence of diseases
Population distribution of genes and their variations that may explain the presence of various diseases is currently investigated with statistical methods. -
Machine Learning Methods
Machine-learning techniques emerged in the biomedical sciences and techniques of clinical decision support to improve the sensitivity and specificity in detection and monitoring of disease, increasing objectively the clinical decision-making process.