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We propose a new and simple estimating equation for the parameters in median regression models with designed censoring variables, and then apply the empirical log likelihood ratio statistic to construct confidence region for the parameters.
The results of median regression models suggest that (1) On average, STEM majors are more lucrative than non-STEM majors in Reform-Era China, a pattern resembling that of many other societies.
Note: Two multiple median regression models were performed.
Models used for mapping include conditional mean or median regression models with varying degrees of success [ 6].
Concerning antibody levels, due to non Gaussian distribution (even when data were log-transformed), median regression models were used.
Median regression models were used to investigate the association between MSIS-29 physical and psychological scales in patients with and without asthma.
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The median regression model provided the best fit to the average dietary total As intake, as indicated by the smaller SE.
First, key characteristics of the study population, such as stage at diagnosis, health insurance coverage, and age group, were incorporated in a median regression model to determine factors affecting the 5-year total cost for breast cancer.
Furthermore, the median regression model, combined with exposure assessment in categories, was utilized to obtain easy-to-interpret and robust estimates that were less sensitive to potential outliers due to undiagnosed diabetes.
We compared predicted and measured dust concentrations using regression models with median concentrations for each chemical.
In semi-parametric regression models, the median value of the first quintile of exposure was used as reference.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com