ReviewInternational journal of dentistry2022
Binary Response Analysis Using Logistic Regression in Dentistry.
Review in International journal of dentistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- Prediction of Risk of Cardiovascular Events in Patients With Stable Angina Using Artificial Intelligence: A Systematic Review.Cardiology research · 2026Review
- Fiber-Optic Raman Sensor for Early Dental Caries Detection: Performance Evaluation and Robustness to Probe Positioning.Biosensors · 2026Article
- Article
- Assessment of Prevalence and Determinants Associated with Hypertension Among the Adult Population in Hawtat Bani Tamim Province.International journal of environmental research and public health · 2025Article
- Determination of sexual dimorphism with CBCT images of the frontal sinus using a predictive formula and an artificial neural network.Journal of applied oral science : revista FOB · 2025Article
- Development of artificial neural network model for predicting the rapid maxillary expansion technique in children with cleft lip and palate.Frontiers in dental medicine · 2025Article
- Give Me a Sign: Using Data Gloves for Static Hand-Shape Recognition.Sensors (Basel, Switzerland) · 2023Article
- Coverage-level and predictors of maternity continuum of care in Nigeria: implications for maternal, newborn and child health programming.BMC pregnancy and childbirth · 2023Article
- Factors Associated with Self-Report of Type 2 Diabetes Mellitus in Adults Seeking Dental Care in a Developing Country.International journal of environmental research and public health · 2022Article
- The Parental Concern and Acceptance of Silver Diamine Fluoride Treatment in Preschool Children: A Cross Sectional Study.Journal of International Society of Preventive & Community DentistryArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multivariate analysis with binary response is extensively utilized in dental research due to variations in dichotomous outcomes. One of the analyses for binary response variable is binary logistic regression, which explores the associated factors and predicts the response probability of the binary variable. This article aims to explain the statistical concepts of binary logistic regression analysis applicable to the field of dental research, including model fitting, goodness of fit test, and model validation. Moreover, interpretation of the model and logistic regression are also discussed with relevant examples. Practical guidance is also provided for dentists and dental researchers to enhance their basic understanding of binary logistic regression analysis.
Identifiers
What OpenQuestion holds
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.