Predicting infection risk in childhood cancer
A statistical model can accurately predict the risk of bloodstream infections in a subset of children with cancer, according to a study published in the Journal of Clinical Oncology.
17 hours ago
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A statistical model can accurately predict the risk of bloodstream infections in a subset of children with cancer, according to a study published in the Journal of Clinical Oncology.
17 hours ago
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An estimated 5% to 10% of blindness worldwide is due to the rare inflammatory eye disease uveitis. Intermediate uveitis is often associated with a chronic course of the disease and the need for immunosuppressive therapy. ...
Jan 30, 2024
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We've all had the experience of looking at a picture—of a sunset, a person, a sleek vehicle or adorable animal—and finding it enormously pleasing. But why? Are we culturally conditioned to gain pleasure from certain images ...
Jan 25, 2024
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Lifestyle and genetics, and a range of other factors within and outside our control, are known to contribute to development of metabolic syndrome, a cluster of conditions that add up to increased risk for serious health problems.
Jan 12, 2024
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Air quality in the office may affect our level of creativity at work, scientists at Nanyang Technological University, Singapore (NTU Singapore) have found.
Dec 19, 2023
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As part of its ongoing quest to advance better brain health and performance, new research led by Center for BrainHealth at The University of Texas at Dallas investigated neural biomarkers associated with improvements on a ...
Nov 30, 2023
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Air pollution particles from coal-fired power plants are more harmful to human health than many experts realized, and it's more than twice as likely to contribute to premature deaths as air pollution particles from other ...
Nov 25, 2023
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Imagine you're feeling achy. You have a cough, and you might have a fever. It's flu season, so you want to have a doctor check you out. Almost a quarter of Americans now opt for a telehealth visit, which public health experts ...
Nov 21, 2023
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RIKEN geneticists have developed a tool that can quickly and accurately analyze variants in mobile genetic elements, commonly known as "jumping genes." This promises to shed light on the role such variants play in disease.
Oct 31, 2023
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Researchers have developed a machine learning model that shows promising results in predicting the risk of critical bleeding in patients with immune thrombocytopenia (ITP).
Sep 28, 2023
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A statistical model is a set of mathematical equations which describe the behavior of an object of study in terms of random variables and their associated probability distributions. If the model has only one equation it is called a single-equation model, whereas if it has more than one equation, it is known as a multiple-equation model.
In mathematical terms, a statistical model is frequently thought of as a pair (Y,P) where Y is the set of possible observations and P the set of possible probability distributions on Y. It is assumed that there is a distinct element of P which generates the observed data. Statistical inference enables us to make statements about which element(s) of this set are likely to be the true one.
Three notions are sufficient to describe all statistical models.
One of the most basic models is the simple linear regression model which assumes a relationship between two random variables Y and X. For instance, one may want to linearly explain child mortality in a given country by its GDP. This is a statistical model because the relationship need not to be perfect and the model includes a disturbance term which accounts for other effects on child mortality other than GDP.
As a second example, Bayes theorem in its raw form may be intractable, but assuming a general model H allows it to become
which may be easier. Models can also be compared using measures such as Bayes factors or mean square error.
This text uses material from Wikipedia, licensed under CC BY-SA