Bringing balance and technical accuracy to reporting odds ratios and the results of logistic regression analyses - Practical Assessment, Research & Evaluation
نویسنده
چکیده
Logistic regression and odds ratios (ORs) are powerful tools recently becoming more common in the social sciences. Yet few understand the technical challenges of correctly interpreting an odds ratio, and often it is done incorrectly in a variety of different ways. The goal of this brief note is to review the correct interpretation of the odds ratio, how to transform it into the more easily understood and intuitive relative risk (RRs) estimate, and a suggestion for dealing with odds ratios or relative risk estimates that are below 1.0 so that perceptually their magnitude is equivalent of Ors or RRs greater than 1.0.
منابع مشابه
An appraisal of multivariable logistic models in the pulmonary and critical care literature.
OBJECTIVE Multivariable modeling techniques are appearing in today's medical literature with increasing frequency. Improper reporting of these statistical models can potentially make the results of a study inaccurate, misleading, or difficult to interpret. We performed a manual literature search of five international pulmonary and critical care journals to determine the accuracy in the reportin...
متن کاملBinary Regression With a Misclassified Response Variable in Diabetes Data
Objectives: The categorical data analysis is very important in statistics and medical sciences. When the binary response variable is misclassified, the results of fitting the model will be biased in estimating adjusted odds ratios. The present study aimed to use a method to detect and correct misclassification error in the response variable of Type 2 Diabetes Mellitus (T2DM), applying binary ...
متن کاملAnalysis of urban growth pattern using logistic regression modeling, spatial autocorrelation and fractal analysis Case study: Ahvaz city
Transformation of land use-land cover change occurs due to the numbers and activities of people. Urban growth modeling has attracted authentic attention because it helps to comprehend the mechanisms of land use change and thus helps relevant policies made. This study applied logistic regression to model urban growth in the Ahvaz Metropolitan Area of Khuzestan province in IDRISI Selva software a...
متن کاملPresentation of new ensemble method of Bayesian and logistic regression models in landslide susceptibility assessment in the Khalkhal Township
The aim of current research is to assess of landslide susceptibility in the Khalkhal Township, southern Ardabil using an ensemble and new method namely Bayesian and logistic regression (BT-LR) models. At first, landslide inventory map was prepared and then effective factors on landslide occurrence were identified. These factors are slope degree, plan curvature, slope aspect, elevation, landuse,...
متن کاملRelationship of Attitude and Practical Commitment to Prayer with Interpersonal Communication Skills in Students
Background and Objectives: Considering the importance of prayer and its effect on personal characteristics, the present study was conducted to investigate the relationship of attitude and practical commitment to prayer with interpersonal communication skills among students of Sanandaj universities, Iran. Methods: This descriptive-analytical study was carried out in 2019 in Sanandaj, located in...
متن کامل