p. 1-10Background: Many epidemiologic studies report the odds ratio as a measure of association for cross-sectional studies with common outcomes. In such cases, the prevalence ratios may not be inferred from the estimated odds ratios. This paper overviews the most commonly used procedures to obtain adjusted prevalence ratios and extends the discussion to the analysis of clustered cross-sectional studies. Methods: Prevalence ratios(PR) were estimated using logistic models with random effects. Their 95% confidence intervals were obtained using delta method and clustered bootstrap. The performance of these approaches was evaluated through simulation studies. Using data from two studies with health-related outcomes in children, we discuss the i...
The extensive use of logistic regression models in analytical epidemiology as well as in randomized ...
One of the most commonly observational study designs employed in veterinary is the cross-sectional s...
Methods for estimating prevalence ratios in cross-sectional studies OBJECTIVE: To empirically compar...
BACKGROUND: Many epidemiologic studies report the odds ratio as a measure of association for cross-s...
Abstract Background Several papers have discussed which effect measures are appropriate to capture t...
One of the most commonly observational study designs employed in veterinary is the cross-sectional s...
Abstract Background Cross-sectional studies with binary outcomes analyzed by logistic regression are...
Sir—In a recent letter to this Journal, Lee1 discussed which epidemiological measure is most appropr...
Many researchers in the health field use the chi-square statistic to identify associations between v...
Abstract. This paper argues that the use of the odds ratio parameter in epidemiology needs to be con...
Background: Binary outcomes are common in prospective studies such as randomized controlled trials a...
The epidemiologic theories on odds ratio as an effect measure are reviewed to be applied for its aut...
Background: Disadvantages have already been pointed out on the use of odds ratio (OR) as a measure o...
O objetivo deste estudo foi apresentar e discutir a utilização das medidas de associação: razão de c...
Logistic regression yields an adjusted odds ratio that approximates the adjusted relative risk when ...
The extensive use of logistic regression models in analytical epidemiology as well as in randomized ...
One of the most commonly observational study designs employed in veterinary is the cross-sectional s...
Methods for estimating prevalence ratios in cross-sectional studies OBJECTIVE: To empirically compar...
BACKGROUND: Many epidemiologic studies report the odds ratio as a measure of association for cross-s...
Abstract Background Several papers have discussed which effect measures are appropriate to capture t...
One of the most commonly observational study designs employed in veterinary is the cross-sectional s...
Abstract Background Cross-sectional studies with binary outcomes analyzed by logistic regression are...
Sir—In a recent letter to this Journal, Lee1 discussed which epidemiological measure is most appropr...
Many researchers in the health field use the chi-square statistic to identify associations between v...
Abstract. This paper argues that the use of the odds ratio parameter in epidemiology needs to be con...
Background: Binary outcomes are common in prospective studies such as randomized controlled trials a...
The epidemiologic theories on odds ratio as an effect measure are reviewed to be applied for its aut...
Background: Disadvantages have already been pointed out on the use of odds ratio (OR) as a measure o...
O objetivo deste estudo foi apresentar e discutir a utilização das medidas de associação: razão de c...
Logistic regression yields an adjusted odds ratio that approximates the adjusted relative risk when ...
The extensive use of logistic regression models in analytical epidemiology as well as in randomized ...
One of the most commonly observational study designs employed in veterinary is the cross-sectional s...
Methods for estimating prevalence ratios in cross-sectional studies OBJECTIVE: To empirically compar...