"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.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2000 | 0 | 1 | 1 |
| 2001 | 0 | 1 | 1 |
| 2002 | 0 | 3 | 3 |
| 2003 | 0 | 1 | 1 |
| 2004 | 0 | 4 | 4 |
| 2005 | 0 | 2 | 2 |
| 2007 | 0 | 2 | 2 |
| 2008 | 0 | 1 | 1 |
| 2009 | 0 | 4 | 4 |
| 2010 | 0 | 6 | 6 |
| 2011 | 0 | 10 | 10 |
| 2012 | 0 | 15 | 15 |
| 2013 | 0 | 15 | 15 |
| 2014 | 0 | 10 | 10 |
| 2015 | 0 | 12 | 12 |
| 2016 | 0 | 9 | 9 |
| 2017 | 0 | 13 | 13 |
| 2018 | 0 | 13 | 13 |
| 2019 | 0 | 17 | 17 |
| 2020 | 0 | 5 | 5 |
| 2021 | 0 | 9 | 9 |
| 2022 | 0 | 3 | 3 |
| 2023 | 0 | 1 | 1 |
| 2024 | 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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A Risk Prediction Model to Identify People Living with HIV Who are High-risk for Disengagement from Care after HIV Diagnosis in South Africa. AIDS Behav. 2024 Oct; 28(10):3362-3372.
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Trajectories of intimate partner violence and their relationship to stress among young women in South Africa: An HPTN 068 study. Int J Soc Psychiatry. 2024 Aug; 70(5):904-914.
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Tuberculosis testing patterns in South Africa to identify groups that would benefit from increased investigation. Sci Rep. 2023 11 27; 13(1):20875.
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Malaria attributable fractions with changing transmission intensity: Bayesian latent class vs logistic models. Malar J. 2022 Nov 11; 21(1):326.
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Machine learning outperformed logistic regression classification even with limit sample size: A model to predict pediatric HIV mortality and clinical progression to AIDS. PLoS One. 2022; 17(10):e0276116.
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Early assessment of the clinical severity of the SARS-CoV-2 omicron variant in South Africa: a data linkage study. Lancet. 2022 01 29; 399(10323):437-446.
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Ranking lifestyle risk factors for cervical cancer among Black women: A case-control study from Johannesburg, South Africa. PLoS One. 2021; 16(12):e0260319.
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The Etiology of Pneumonia in HIV-uninfected South African Children: Findings From the Pneumonia Etiology Research for Child Health (PERCH) Study. Pediatr Infect Dis J. 2021 09 01; 40(9S):S59-S68.
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The Etiology of Pneumonia in HIV-1-infected South African Children in the Era of Antiretroviral Treatment: Findings From the Pneumonia Etiology Research for Child Health (PERCH) Study. Pediatr Infect Dis J. 2021 Sep 01; 40(9S):S69-S78.
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Thoughts of self-harm in early and late pregnancy in urban South Africa: Investigating prevalence, predictors and screening options. S Afr Med J. 2021 Jun 30; 111(7):627-634.