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Bayes Theorem
Research News and Information
Definition of 'Bayes Theorem'A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihoods of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result. |
Saturday, November 21, 2009
30 Oct 2009
The phylogenetic position of Triatoma sherlocki within triatomines group was inferred by analyzing mtDNA fragments of Cyt B and 16S ribosomal RNA by using maximum parsimony and Bayesian analysis. Despite being differentiated from members of the T. ... Read more...
30 Oct 2009
Our curiosity about biodiversity compels us to reconstruct the evolutionary past of species. Molecular evolutionary theory now allows parameterization of mathematically sophisticated and detailed models of DNA evolution, which have resulted in a ... Read more...
30 Oct 2009
Loss of sharks and other upper-trophic marine predators has sparked worldwide concern for the stability of ocean ecosystems. The grey nurse (ragged-tooth or sand tiger) shark (Carcharias taurus) is Vulnerable on a global scale, Critically Endangered ... Read more...
Latest indexed articles for 'Bayes Theorem'
These are the very latest articles for this heading:
- Phylogeny of Triatoma sherlocki (Hemiptera: Reduviidae: Triatominae) inferred from two mitochondrial genes suggests its location within the Triatoma brasiliensis complex.
30 Oct 2009 - Do complex population histories drive higher estimates of substitution rate in phylogenetic reconstructions?
30 Oct 2009 - Nuclear and mitochondrial DNA reveals isolation of imperilled grey nurse shark populations (Carcharias taurus).
30 Oct 2009 - Bayesian meta-analysis of hormone therapy and mortality in younger postmenopausal women.
30 Oct 2009 - Usefulness of two-dimensional strain echocardiography to predict segmental viability following acute myocardial infarction and optimization using bayesian logistic spatial modeling.
13 Oct 2009 - Diagnosing acute heart failure: the mathematician and the clinician.
11 Oct 2009 - Improving the diagnosis of acute heart failure using a validated prediction model.
11 Oct 2009 - Neural dynamics of saccadic suppression.
5 Oct 2009 - Modeling children's early grammatical knowledge.
3 Oct 2009 - Bayesian model averaging for harmful algal bloom prediction.
29 Sep 2009 - Intelligent tutoring system for clinical reasoning skill acquisition in dental students.
29 Sep 2009 - Bayesian statistical methods for genetic association studies.
29 Sep 2009 - Robust multiperson tracking from a mobile platform.
29 Sep 2009 - Observing human-object interactions: using spatial and functional compatibility for recognition.
29 Sep 2009 - Spatial genetic structure in Milicia excelsa (Moraceae) indicates extensive gene dispersal in a low-density wind-pollinated tropical tree.
27 Sep 2009 - Microsatellite based genetic diversity and population structure of the endangered Spanish Guadarrama goat breed.
27 Sep 2009 - Bayesian reconstruction of natural images from human brain activity.
22 Sep 2009 - Intra-individual polymorphism in diploid and apomictic polyploid hawkweeds (Hieracium, Lactuceae, Asteraceae): disentangling phylogenetic signal, reticulation, and noise.
20 Sep 2009 - Concordant genetic breaks, identified by combining clustering and tessellation methods, in two co-distributed alpine plant species.
19 Sep 2009 - Lack of global population genetic differentiation in the arbuscular mycorrhizal fungus Glomus mosseae suggests a recent range expansion which may have coincided with the spread of agriculture.
16 Sep 2009
See a longer list of these articles.
Technical information about 'Bayes Theorem'
Definition: A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihoods of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.
Descriptor UI: D001499
Alternative terms: Bayes Theorem; Theorem, Bayes; Bayesian Forecast; Forecast, Bayesian; Bayesian Prediction; Prediction, Bayesian; Bayesian Analysis; Analysis, Bayesian; Bayesian Method; Method, Bayesian;
Tree Number: E05.318.740.600.200; N05.715.360.750.625.150; N06.850.520.830.600.200;
Online Note: search PROBABILITY 1968-74
History Note: 91(75); was see under PROBABILITY 1975-90
Technical Notes: IM GEN only; coord NIM with specific disease (IM); no qualif; specify geog if pertinent