ArticleStatistics in medicine2017
Intermediate and advanced topics in multilevel logistic regression analysis.
Article in Statistics in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 358 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
358 citing papers in PubMed.
- Impact of on-site pharmacists in residential aged care facilities on the quality of medicines use: a cluster randomised controlled trial (PiRACF study).Scientific reports · 2023Trial
- Effectiveness of theCirculation · 2023Trial
- Efficacy of a Mobile App-Based Coaching Program for Addiction Prevention among Apprentices: A Cluster-Randomized Controlled Trial.International journal of environmental research and public health · 2022Trial
- Disparities in direct access to acute geriatric care - an observational analysis of geographic variations of ambulance conveyance.BMC geriatrics · 2026Observational
- Understanding Differences in Resident Loneliness/Isolation Across US Nursing Homes: A Multilevel Analysis of MDS 3.0 Data.Journal of the American Medical Directors Association · 2026Article
- Real World Patterns of Sexually Transmitted Infection Testing in the US Reveal Substantial Under Testing and Wide Geographic and Inter-Provider Variation.Sexually transmitted diseases · 2026Article
- Quantifying the Impact of Anonymization-Induced Clinical Data Quality Loss: Methodological Quantitative Case Study Using Primary Diagnosis Codes and Hospital Length of Stay.JMIR medical informatics · 2026Article
- Article
- Individual and Contextual Socioeconomic Position on Type 2 Diabetes Risk in LMICs: A Multilevel Analysis.Annals of the New York Academy of Sciences · 2026Article
- Balanced Component and Whole-Blood Transfusion Practices in US Trauma Centers.JAMA network open · 2026Article
- Utilization and Estimation of Environmental Impact of End-Tidal Control in a Multisite Academic Health System: A Retrospective Observational Cross-Sectional Study.A&A practice · 2026Observational
- Early Gait Responsiveness as a Predictor of Functional Trajectory in Older Adults Undergoing Postacute Rehabilitation.Archives of rehabilitation research and clinical translation · 2026Article
- Sun Exposure and Asthma Prevalence in Spanish Schoolchildren and Adolescents in the Global Asthma Network (GAN) Phase I Study: A Semi-Individual Cross-Sectional Study.Journal of clinical medicine · 2026Article
- Unintended Pregnancy Among Tanzanian Women: Prevalence and Risk Factors From the 2022 Demographic and Health Survey.Health science reports · 2026Article
- Choice of initial opioid for continuous infusions in patients receiving mechanical ventilation: a retrospective cohort study.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2026Article
- Article
- Baseline Clinical and Laboratory Predictors of Treatment Requirement in Chronic Lymphocytic Leukemia: A Retrospective Cohort Study Using Hierarchical Modeling.Diagnostics (Basel, Switzerland) · 2026Article
- Anemia and Its Associated Factors Among Children Aged 6-23 Months in Nine Sub-Saharan African Countries: A Multilevel Proportional Odds Model Using the Latest Demographic and Health Survey (DHS) Data.Health science reports · 2026Article
- Article
- An evaluation of antenatal corticosteroid use and timing in a large US birth cohort 2017-2021.Pregnancy (Hoboken, N.J.) · 2026Article
298 more citing papers are in PubMed but not listed here.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multilevel data occur frequently in health services, population and public health, and epidemiologic research. In such research, binary outcomes are common. Multilevel logistic regression models allow one to account for the clustering of subjects within clusters of higher-level units when estimating the effect of subject and cluster characteristics on subject outcomes. A search of the PubMed database demonstrated that the use of multilevel or hierarchical regression models is increasing rapidly. However, our impression is that many analysts simply use multilevel regression models to account for the nuisance of within-cluster homogeneity that is induced by clustering. In this article, we describe a suite of analyses that can complement the fitting of multilevel logistic regression models. These ancillary analyses permit analysts to estimate the marginal or population-average effect of covariates measured at the subject and cluster level, in contrast to the within-cluster or cluster-specific effects arising from the original multilevel logistic regression model. We describe the interval odds ratio and the proportion of opposed odds ratios, which are summary measures of effect for cluster-level covariates. We describe the variance partition coefficient and the median odds ratio which are measures of components of variance and heterogeneity in outcomes. These measures allow one to quantify the magnitude of the general contextual effect. We describe an R
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.