"Logistic Models" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor.
| Descriptor ID |
D016015
|
| MeSH Number(s) |
E05.318.740.500.525 E05.318.740.600.800.450 E05.318.740.750.450 E05.599.835.875 N05.715.360.750.530.480 N05.715.360.750.625.700.450 N05.715.360.750.695.470 N06.850.520.830.500.525 N06.850.520.830.600.800.450 N06.850.520.830.750.450
|
| Concept/Terms |
Logistic Models- Logistic Models
- Logistic Model
- Model, Logistic
- Models, Logistic
Logit Models- Logit Models
- Logit Model
- Model, Logit
- Models, Logit
Logistic Regression- Logistic Regression
- Logistic Regressions
- Regression, Logistic
- Regressions, Logistic
|
Below are MeSH descriptors whose meaning is more general than "Logistic Models".
Below are MeSH descriptors whose meaning is more specific than "Logistic Models".
This graph shows the total number of publications written about "Logistic Models" by people in this website by year, and whether "Logistic Models" was a major or minor topic of these publications.
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| Year | Major Topic | Minor Topic | Total |
|---|
| 2004 | 0 | 1 | 1 |
| 2005 | 0 | 1 | 1 |
| 2007 | 0 | 2 | 2 |
| 2008 | 0 | 2 | 2 |
| 2009 | 0 | 1 | 1 |
| 2010 | 1 | 1 | 2 |
| 2011 | 1 | 2 | 3 |
| 2012 | 0 | 2 | 2 |
| 2013 | 0 | 2 | 2 |
| 2014 | 0 | 4 | 4 |
| 2015 | 0 | 1 | 1 |
| 2016 | 0 | 1 | 1 |
| 2019 | 1 | 0 | 1 |
| 2021 | 0 | 2 | 2 |
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Below are the most recent publications written about "Logistic Models" by people in Profiles.
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Evaluation of supervised machine-learning methods for predicting appearance traits from DNA. Forensic Sci Int Genet. 2021 07; 53:102507.
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Breast Cancer Risk Genes - Association Analysis in More than 113,000 Women. N Engl J Med. 2021 02 04; 384(5):428-439.
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Identification of interactions of binary variables associated with survival time using survivalFS. Arch Toxicol. 2019 03; 93(3):585-602.
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DNA methylation array analysis identifies breast cancer associated RPTOR, MGRN1 and RAPSN hypomethylation in peripheral blood DNA. Oncotarget. 2016 Sep 27; 7(39):64191-64202.
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May progesterone receptor membrane component 1 (PGRMC1) predict the risk of breast cancer? Gynecol Endocrinol. 2016; 32(1):58-60.
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Immunochip-based analysis: high-density genotyping of immune-related loci sheds further light on the autoimmune genetic architecture of alopecia areata. J Invest Dermatol. 2015 Mar; 135(3):919-921.
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High definition plus colonoscopy combined with i-scan tone enhancement vs. high definition colonoscopy for colorectal neoplasia: A randomized trial. Dig Liver Dis. 2014 Nov; 46(11):991-6.
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Common variants in the HLA-DQ region confer susceptibility to idiopathic achalasia. Nat Genet. 2014 Aug; 46(8):901-4.
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Evidence of gene-environment interaction for two genes on chromosome 4 and environmental tobacco smoke in controlling the risk of nonsyndromic cleft palate. PLoS One. 2014; 9(2):e88088.
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The association of genetic markers for type 2 diabetes with prediabetic status - cross-sectional data of a diabetes prevention trial. PLoS One. 2013; 8(9):e75807.
MeSH information
