 Multilevel Analysis
"Multilevel Analysis" 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.
The statistical manipulation of hierarchically and non-hierarchically nested data. It includes clustered data, such as a sample of subjects within a group of schools. Prevalent in the social, behavioral sciences, and biomedical sciences, both linear and nonlinear regression models are applied.
| Descriptor ID |
D055361
|
| MeSH Number(s) |
N06.850.520.830.562
|
| Concept/Terms |
Multilevel Analysis- Multilevel Analysis
- Analyses, Multilevel
- Analysis, Multilevel
- Multilevel Analyses
|
Below are MeSH descriptors whose meaning is more general than "Multilevel Analysis".
Below are MeSH descriptors whose meaning is more specific than "Multilevel Analysis".
This graph shows the total number of publications written about "Multilevel Analysis" by people in this website by year, and whether "Multilevel Analysis" 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 |
|---|
| 2009 | 0 | 1 | 1 | | 2012 | 0 | 2 | 2 | | 2013 | 1 | 2 | 3 | | 2015 | 0 | 1 | 1 | | 2016 | 0 | 2 | 2 | | 2017 | 0 | 3 | 3 | | 2018 | 1 | 2 | 3 | | 2019 | 0 | 6 | 6 | | 2020 | 0 | 1 | 1 |
To return to the timeline, click here.
Below are the most recent publications written about "Multilevel Analysis" by people in Profiles.
-
Wang Y, Wang Z, Su C, Jia X, Ouyang Y, Zhang B, Wang H. [Longitudinal multilevel analysis of correlative factors of abdominal obesity among Chinese reproductive women]. Wei Sheng Yan Jiu. 2020 Jan; 49(1):19-27.
-
McCreight MS, Rabin BA, Glasgow RE, Ayele RA, Leonard CA, Gilmartin HM, Frank JW, Hess PL, Burke RE, Battaglia CT. Using the Practical, Robust Implementation and Sustainability Model (PRISM) to qualitatively assess multilevel contextual factors to help plan, implement, evaluate, and disseminate health services programs. Transl Behav Med. 2019 11 25; 9(6):1002-1011.
-
Assassi S, Wang X, Chen G, Goldmuntz E, Keyes-Elstein L, Ying J, Wallace PK, Turner J, Zheng WJ, Pascual V, Varga J, Hinchcliff ME, Bellocchi C, McSweeney P, Furst DE, Nash RA, Crofford LJ, Welch B, Pinckney A, Mayes MD, Sullivan KM. Myeloablation followed by autologous stem cell transplantation normalises systemic sclerosis molecular signatures. Ann Rheum Dis. 2019 10; 78(10):1371-1378.
-
Carter SP, Renshaw KD, Allen ES, Markman HJ, Stanley SM. Everything Here is Fine: Protective Buffering by Military Spouses During a Deployment. Fam Process. 2020 09; 59(3):1261-1274.
-
Loresto FL, Welton J, Grim S, Valdez C, Eron K. Exploring Inpatient Medication Patterns: A Big Data and Multilevel Approach. J Nurs Adm. 2019 Jun; 49(6):336-342.
-
Sasson C, Haukoos J. Improving CPR in communities: Understanding the importance of CPR training density. Resuscitation. 2019 06; 139:351-352.
-
Weisner C, Campbell CI, Altschuler A, Yarborough BJH, Lapham GT, Binswanger IA, Hechter RC, Ahmedani BK, Haller IV, Sterling SA, McCarty D, Satre DD, Kline-Simon AH. Factors associated with Healthcare Effectiveness Data and Information Set (HEDIS) alcohol and other drug measure performance in 2014-2015. Subst Abus. 2019; 40(3):318-327.
-
VanFosson CA, Jones TL, Yoder LH. Monthly variation of unfinished nursing care at the US Army Burn Center. Burns. 2018 12; 44(8):1910-1919.
-
Cowan T, Le TP, Elvev?g B, Foltz PW, Tucker RP, Holmlund TB, Cohen AS. Comparing static and dynamic predictors of risk for hostility in serious mental illness: Preliminary findings. Schizophr Res. 2019 02; 204:432-433.
-
Monlezun DJ, Dart L, Vanbeber A, Smith-Barbaro P, Costilla V, Samuel C, Terregino CA, Abali EE, Dollinger B, Baumgartner N, Kramer N, Seelochan A, Taher S, Deutchman M, Evans M, Ellis RB, Oyola S, Maker-Clark G, Dreibelbis T, Budnick I, Tran D, DeValle N, Shepard R, Chow E, Petrin C, Razavi A, McGowan C, Grant A, Bird M, Carry C, McGowan G, McCullough C, Berman CM, Dotson K, Niu T, Sarris L, Harlan TS, Co-Investigators OBOTC. Machine Learning-Augmented Propensity Score-Adjusted Multilevel Mixed Effects Panel Analysis of Hands-On Cooking and Nutrition Education versus Traditional Curriculum for Medical Students as Preventive Cardiology: Multisite Cohort Study of 3,248 Trainees over 5 Years. Biomed Res Int. 2018; 2018:5051289.
|
People  People who have written about this concept. _
Similar Concepts
People who have written about this concept.
_
Top Journals
Top journals in which articles about this concept have been published.
|