ArticleHealth services research2018
Log Odds and the Interpretation of Logit Models.
Article in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
92 citing papers in PubMed, 4 syntheses or guidelines pooled it.
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- Association Between Physician Depressive Symptoms and Medical Errors: A Systematic Review and Meta-analysis.JAMA network open · 2019Pooled it
- Financial Burdens of Cancer Treatment: A Systematic Review of Risk Factors and Outcomes.Journal of the National Comprehensive Cancer Network : JNCCN · 2019Pooled it
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- Competing Demographic Drivers of Hospital Expenditures: Coexistence of the Red Herring and the Steepening Effects.Health economics · 2026Article
- Secondary fracture prevention after vertebral, femur or pelvic fracture at US academic medical center.Archives of osteoporosis · 2026Article
- Association Between Socioeconomic Status and Emergency Department Use for Non-traumatic Dental Conditions.The western journal of emergency medicine · 2026Article
- The effect of air pollution on catastrophic health expenditure among middle-aged and older adults in China.PloS one · 2026Article
- PrevCardioOncAI: Machine Learning Algorithms for Predicting Cardiovascular Disease in Cancer Survivors.Journal of the American Heart Association · 2025Observational
- Sustainability and contribution of household biogas plants to energy transition in Nepal.Scientific reports · 2025Article
- Disparities by Race and Ethnicity in Percutaneous Coronary Intervention.JAMA network open · 2025Article
- Looking on the (B)right Side of Life: Cognitive Ability and Miscalibrated Financial Expectations.Personality & social psychology bulletin · 2025Article
- miRNA-494 in Lymphocytes: A Promising Biomarker for Acute Ischemic Stroke.Revista de neurologia · 2025Article
- Geographic Disparities by Rural-Urban Status and Drive Time to Care in Tobacco Treatment for COPD.JAMA network open · 2025Article
- Evaluating the effectiveness of sociotherapy following psychiatric hospitalization: a target trial emulation protocol using German statutory health insurance data.BMC health services research · 2025Article
32 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWe discuss how to interpret coefficients from logit models, focusing on the importance of the standard deviation (σ) of the error term to that interpretation. STUDY
designWe show how odds ratios are computed, how they depend on the standard deviation (σ) of the error term, and their sensitivity to different model specifications. We also discuss alternatives to odds ratios. PRINCIPAL
findingsThere is no single odds ratio; instead, any estimated odds ratio is conditional on the data and the model specification. Odds ratios should not be compared across different studies using different samples from different populations. Nor should they be compared across models with different sets of explanatory variables.
conclusionsTo communicate information regarding the effect of explanatory variables on binary {0,1} dependent variables, average marginal effects are generally preferable to odds ratios, unless the data are from a case-control study.
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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.