ArticleDiagnostics (Basel, Switzerland)2022
Overestimation of Relative Risk and Prevalence Ratio: Misuse of Logistic Modeling.
Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
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- Community-based family planning resources and modern contraceptive use among young women living with HIV in semi-rural northern Uganda: a mixed-method study.BMC women's health · 2026Article
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- Bacterial vaginosis associated with high rates of sexually transmitted infections among South African adolescent girls and young women.Infection · 2026Article
- Prevalence and factors associated with mental distress among men at higher risk of HIV infection enrolled in an HIV pre-exposure prophylaxis program in Tanga, Tanzania.Frontiers in psychiatry · 2026Article
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- Prevalence and associated factors of self-medication among pregnant women in N'Djamena North District, Chad.The Pan African medical journal · 2026Article
- Risk factors associated with Shigella diarrhea in 6-35-month-olds: A cross-sectional study, Malawi, 2022-2024.PLOS global public health · 2026Article
- Silent losses: predictors of anaemia and micronutrient deficiencies and their associations with menstrual bleeding in Lebanon - findings from a national cross-sectional study.BMJ global health · 2025Article
- Early Menarche and Hypertension Among Postmenopausal Women: The Mediating Role of Obesity.Epidemiologia (Basel, Switzerland) · 2025Article
- Prevalence and correlates of PrEP use and missed PrEP doses due to alcohol among sexually active adults and sexual minority men in San Francisco.Drug and alcohol dependence · 2025Article
- Food insecurity and youth suicidal behaviours: Evidence from the Canadian Health Survey of Children and Youth.Canadian journal of public health = Revue canadienne de sante publique · 2025Article
- Article
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- Prevalence and risk factors of neonatal sepsis in the neonatal intensive care unit at Soroti Regional Referral hospital, Uganda: a retrospective study.BMC pregnancy and childbirth · 2025Article
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Authors and funding
5 authors.
Funding
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Abstract
The extensive use of logistic regression models in analytical epidemiology as well as in randomized clinical trials, often creates inflated estimates of the relative risk (RR). Particularly, in cases where a binary outcome has a high or moderate incidence in the studied population (>10%), the bias in assessing the relative risk may be very high. Meta-analysis studies have estimated that about 40% of the relative risk estimates in prospective investigations, through binary logistic models, lead to extensive bias of the population parameters. The problem of risk inflation also appears in cross-sectional studies with binary outcomes, where the parameter of interest is the prevalence ratio. As an alternative to the use of logistic regression models in both longitudinal and cross-sectional studies, the modified Poisson regression model is proposed.
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