Luciane De Souza Velásquez
Dados Biográficos
| ID | 2849401 |
|---|---|
| NOME | Luciane De Souza Velásquez |
| PRENOMES | Luciane De Souza |
| SOBRENOME | Velásquez |
| ASSINATURA | VELASQUEZ L S |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 1 |
| TOTAL DE CITAÇÕES | 4 |
| TOTAL COMO AUTOR | 1 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2015 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2015 |
| ÍNDICE H | 1 |
Obtaining adjusted prevalence ratios from logistic regression models in cross-sectional studies
In the last decades, the use of the epidemiological prevalence ratio (PR) instead of the odds ratio has been debated as a measure of association in cross-sectional studies. This article addresses the main difficulties in the use of statistical models for the calculation of PR: convergence problems, availability of tools and inappropriate assumptions. We implement the direct approach to estimate the PR from binary regression models based on two me…
Obtaining adjusted prevalence ratios from logistic regression models in cross-sectional studies
In the last decades, the use of the epidemiological prevalence ratio (PR) instead of the odds ratio has been debated as a measure of association in cross-sectional studies. This article addresses the main difficulties in the use of statistical models for the calculation of PR: convergence problems, availability of tools and inappropriate assumptions. We implement the direct approach to estimate the PR from binary regression models based on two me…
Obtaining adjusted prevalence ratios from logistic regression models in cross-sectional studies
In the last decades, the use of the epidemiological prevalence ratio (PR) instead of the odds ratio has been debated as a measure of association in cross-sectional studies. This article addresses the main difficulties in the use of statistical models for the calculation of PR: convergence problems, availability of tools and inappropriate assumptions. We implement the direct approach to estimate the PR from binary regression models based on two me…
Advanced Causal Inference Techniques (1 obras) · Binomial distribution (1 obras) · Binomial regression (1 obras) · Econometrics (1 obras) · Environmental health (1 obras) · Food Security and Health in Diverse Populations (1 obras) · Generalized linear model (1 obras) · Logistic regression (1 obras) · Mathematics (1 obras) · Medicine (1 obras)