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The importance of the area under the normal curve (AUC) as a measure of the effect size (ES) in applied and forensic research has been highlighted in several articles and Tables for converting the AUC curve into Pearson’s rpb and Cohen’s d have been ...
Jesús F. Salgado
doaj +2 more sources
Advancing Continuous Distribution Generation: An Exponentiated Odds Ratio Generator Approach [PDF]
This paper presents a new methodology for generating continuous statistical distributions, integrating the exponentiated odds ratio within the framework of survival analysis.
Xinyu Chen+5 more
doaj +2 more sources
A method of back-calculating the log odds ratio and standard error of the log odds ratio from the reported group-level risk of disease. [PDF]
In clinical trials and observational studies, the effect of an intervention or exposure can be reported as an absolute or relative comparative measure such as risk difference, odds ratio or risk ratio, or at the group level with the estimated risk of ...
Dapeng Hu+2 more
doaj +2 more sources
Odds ratio analysis in women with endometrial cancer [PDF]
Introduction : Despite the progress in diagnosis and treatment of malignant tumours, the effects of treatment are insufficient. Reduction of the risk of cervical, ovarian, and endometrial cancer is possible by introducing preventative actions.
Katarzyna Plagens-Rotman+2 more
doaj +2 more sources
Inverse odds ratio‐weighted estimation for causal mediation analysis [PDF]
An important scientific goal of studies in the health and social sciences is increasingly to determine to what extent the total effect of a point exposure is mediated by an intermediate variable on the causal pathway between the exposure and the outcome.
E. T. Tchetgen Tchetgen
semanticscholar +4 more sources
A marker strongly associated with outcome (or disease) is often assumed to be effective for classifying persons according to their current or future outcome. However, for this assumption to be true, the associated odds ratio must be of a magnitude rarely
M. S. Pepe
openalex +2 more sources
Risk ratio vs odds ratio [PDF]
from which we can infer that if the risk or the probability of failure is low (P\0.1), then the OR is a good approximation of the RR, and they can be used interchangeably. If the risk of the events is high, then the OR and the RR cannot be used interchangeably, since they tend to be quite different because the risk is bounded by the values of 0 and 1 ...
Nikolaos Pandis
openaire +4 more sources
Estimating risk in clinical studies: odds ratio and risk ratio [PDF]
Joaquin Maritano Furcada+2 more
doaj +5 more sources
Prevalence odds ratio versus prevalence ratio: choice comes with consequences. [PDF]
Tamhane AR+3 more
europepmc +2 more sources