Tuberculosis in Prisons
Importance of Considering the Clustering in the Analysis of Cross-Sectional Studies
Bibliographic Data
| ID | 15466561 |
|---|---|
| Authors | Diana Marín (0000-0002-4715-8388, Universidad Pontificia Bolivariana, corresponding author), Yoav Keynan (0000-0003-4948-4707, University of Manitoba), Shrikant I Bangdiwala (0000-0002-3111-0689, Population Health Research Institute), Lucelly López (0000-0002-1534-520X, Universidad Pontificia Bolivariana), Zulma Vanessa Rueda (0000-0001-6342-1812, Universidad Pontificia Bolivariana) |
| Year | 2023 |
| Volume | 20 |
| Issue | 7 |
| Pages | 5423-5423 |
| Publication date | 2023-04-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph20075423 |
| PMID | 37048037 |
| OpenAlex | W4362666077 |
| Language | EN |
| References cited | 59 |
The level of clustering and the adjustment by cluster-robust standard errors have yet to be widely considered and reported in cross-sectional studies of tuberculosis (TB) in prisons. In two cross-sectional studies of people deprived of liberty (PDL) in Medellin, we evaluated the impact of adjustment versus failure to adjust by clustering on prevalence ratio (PR) and 95% confidence interval (CI). We used log-binomial regression, Poisson regression, generalized estimating equations (GEE), and mixed-effects regression models. We used cluster-robust standard errors and bias-corrected standard errors. The odds ratio (OR) was 20% higher than the PR when the TB prevalence was >10% in at least one of the exposure factors. When there are three levels of clusters (city, prison, and courtyard), the cluster that had the strongest effect was the courtyard, and the 95% CI estimated with GEE and mixed-effect models were narrower than those estimated with Poisson and binomial models. Exposure factors lost their significance when we used bias-corrected standard errors due to the smaller number of clusters. Tuberculosis transmission dynamics in prisons dictate a strong cluster effect that needs to be considered and adjusted for. The omission of cluster structure and bias-corrected by the small number of clusters can lead to wrong inferences
Cluster (spacecraft · Cluster analysis · Confidence interval · Cross-sectional study · Econometrics · Environmental health · Gee · Generalized estimating equation · Negative binomial distribution · Odds ratio · Poisson distribution · Poisson regression · Population · Regression · Regression analysis · Standard error · Statistics · Computer Science · Mathematics · Medicine · Pneumonia and Respiratory Infections · Statistical Methods and Bayesian Inference · Tuberculosis Research and Epidemiology
Logistic Regression
To GEE or Not to GEE
Fixed effects models versus mixed effects models for clustered data
Performance of the Modified Poisson Regression Approach for Estimating Relative Risks From Clustered Prospective Data
A comparison of two methods for estimating prevalence ratios
Extension of the modified Poisson regression model to prospective studies with correlated binary data
Prevalence odds ratio versus prevalence ratio: choice comes with consequences
A Modified Poisson Regression Approach to Prospective Studies with Binary Data
Sufficient Sample Sizes for Multilevel Modeling
Increasing tuberculosis burden in Latin America
A Comparison of Population-Averaged and Cluster-Specific Approaches in the Context of Unequal Probabilities of Selection
Determinantes sociais da saúde e desfecho desfavorável do tratamento da tuberculose no sistema prisional
Social determinants of health and unfavourable outcome of tuberculosis treatment in the prison system
Fatores associados à tuberculose na população privada de liberdade no Espírito Santo
On selection of an appropriate logistic model to determine the risk factors of childhood stunting in B angladesh
Guards in Prisons
Tuberculosis treatment outcomes among prisoners and general population in Zomba, Malawi
Prevalence of latent tuberculosis infection and feasibility of TB preventive therapy among Thai prisoners
| Citation velocity | historical |
|---|---|
| Highly cited | No |