Logistic Models

"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.

MeSH information

Definition | Details | More General Concepts | Related Concepts | More Specific Concepts

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".

Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]
Investigative Techniques [E05]
Epidemiologic Methods [E05.318]
Statistics as Topic [E05.318.740]
Models, Statistical [E05.318.740.500]
Logistic Models [E05.318.740.500.525]
Probability [E05.318.740.600]
Risk [E05.318.740.600.800]
Logistic Models [E05.318.740.600.800.450]
Regression Analysis [E05.318.740.750]
Logistic Models [E05.318.740.750.450]
Models, Theoretical [E05.599]
Models, Statistical [E05.599.835]
Logistic Models [E05.599.835.875]
Health Care [N]
Health Care Quality, Access, and Evaluation [N05]
Quality of Health Care [N05.715]
Health Care Evaluation Mechanisms [N05.715.360]
Statistics as Topic [N05.715.360.750]
Models, Statistical [N05.715.360.750.530]
Logistic Models [N05.715.360.750.530.480]
Probability [N05.715.360.750.625]
Risk [N05.715.360.750.625.700]
Logistic Models [N05.715.360.750.625.700.450]
Regression Analysis [N05.715.360.750.695]
Logistic Models [N05.715.360.750.695.470]
Environment and Public Health [N06]
Public Health [N06.850]
Epidemiologic Methods [N06.850.520]
Statistics as Topic [N06.850.520.830]
Models, Statistical [N06.850.520.830.500]
Logistic Models [N06.850.520.830.500.525]
Probability [N06.850.520.830.600]
Risk [N06.850.520.830.600.800]
Logistic Models [N06.850.520.830.600.800.450]
Regression Analysis [N06.850.520.830.750]
Logistic Models [N06.850.520.830.750.450]

Below are MeSH descriptors whose meaning is related to "Logistic Models".

Below are MeSH descriptors whose meaning is more specific than "Logistic Models".

publications

Timeline | Most Recent

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.

Bar chart showing 325 publications over 30 distinct years, with a maximum of 38 publications in 2014

To see the data from this visualization as text, click here.

Year	Major Topic	Minor Topic	Total
1992	0	1	1
1993	0	2	2
1994	0	2	2
1995	0	1	1
1996	0	7	7
1997	0	10	10
1998	0	4	4
1999	0	1	1
2000	0	4	4
2001	0	6	6
2002	0	10	10
2003	0	8	8
2004	0	7	7
2005	0	3	3
2006	0	1	1
2007	0	5	5
2008	0	8	8
2009	0	5	5
2010	0	20	20
2011	0	19	19
2012	0	20	20
2013	1	30	31
2014	0	38	38
2015	0	23	23
2016	0	26	26
2017	0	27	27
2018	0	21	21
2019	0	8	8
2020	0	6	6
2021	0	1	1

Below are the most recent publications written about "Logistic Models" by people in Profiles.

Ali S, Khetpal N, Idrisov E, Rahman AU, Khalid S, Du Y, Navaneethan U, Varadarajulu S, Hawes R, Hasan MK. Endoscopic Mucosal Resection for Colonic Mucosal Neoplasia and Evaluation of Long-Term Recurrence: A Single-Center Experience of 500 Cases. South Med J. 2021 04; 114(4):199-206.

View in: PubMed
Snyder CW, Ciesla DJ, Tepas JJ, Chandler NM, Danielson PD, Gonzalez R, Partain K, Poulos N, Pracht EE. Two novel resource-based metrics to quantify pediatric trauma severity based on probability of requiring critical care and anesthesia services. J Trauma Acute Care Surg. 2020 10; 89(4):636-641.

View in: PubMed
Bailey CM, Schaverien MV, Garvey PB, Liu J, Butler CE, Mericli AF. The impact of sarcopenia on oncologic abdominal wall reconstruction. J Surg Oncol. 2020 Dec; 122(7):1490-1497.

View in: PubMed
Zambetti BR, Stiles ZE, Gupta PK, Stickley SM, Brahmbhatt R, Rohrer MJ, Kempe K. Present-day analysis of early failure after forefoot amputation. Surgery. 2020 11; 168(5):904-908.

View in: PubMed
Kim H, Gunter-Rahman F, McGrath JA, Lee E, de Jesus AA, Targoff IN, Huang Y, O'Hanlon TP, Tsai WL, Gadina M, Miller FW, Goldbach-Mansky R, Rider LG. Expression of interferon-regulated genes in juvenile dermatomyositis versus Mendelian autoinflammatory interferonopathies. Arthritis Res Ther. 2020 04 06; 22(1):69.

View in: PubMed
Davis-Porada J, Kim MY, Guerra MM, Laskin CA, Petri M, Lockshin MD, Sammaritano LR, Branch DW, Sawitzke A, Merrill JT, Buyon JP, Salmon JE. Low frequency of flares during pregnancy and post-partum in stable lupus patients. Arthritis Res Ther. 2020 03 19; 22(1):52.

View in: PubMed
Allen AM, Jung AM, Alexander AC, Allen SS, Ward KD, al'Absi M. Cannabis use and stressful life events during the perinatal period: cross-sectional results from Pregnancy Risk Assessment Monitoring System (PRAMS) data, 2016. Addiction. 2020 09; 115(9):1707-1716.

View in: PubMed
Beebe LA, Boeckman LM, Klein PG, Saul JE, Gillaspy SR. They Came, But Will They Come Back? An Observational Study of Re-Enrollment Predictors for the Oklahoma Tobacco Helpline. Am J Health Promot. 2020 03; 34(3):261-268.

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Hanna K, Zeeshan M, Hamidi M, Pandit V, Omesiete P, Cruz A, Ewongwo A, Joseph B, Nfonsam V. Colon cancer in the young: contributing factors and short-term surgical outcomes. Int J Colorectal Dis. 2019 Nov; 34(11):1879-1885.

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Enocsson H, Wirestam L, Dahle C, Padyukov L, Jönsen A, Urowitz MB, Gladman DD, Romero-Diaz J, Bae SC, Fortin PR, Sanchez-Guerrero J, Clarke AE, Bernatsky S, Gordon C, Hanly JG, Wallace DJ, Isenberg DA, Rahman A, Merrill JT, Ginzler E, Alarcón GS, Chatham WW, Petri M, Khamashta M, Aranow C, Mackay M, Dooley MA, Manzi S, Ramsey-Goldman R, Nived O, Steinsson K, Zoma AA, Ruiz-Irastorza G, Lim SS, Kalunian KC, Inanc M, van Vollenhoven RF, Ramos-Casals M, Kamen DL, Jacobsen S, Peschken CA, Askanase A, Stoll T, Bruce IN, Wetterö J, Sjöwall C. Soluble urokinase plasminogen activator receptor (suPAR) levels predict damage accrual in patients with recent-onset systemic lupus erythematosus. J Autoimmun. 2020 01; 106:102340.

View in: PubMed

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