Scientific ReportsPrevious studies have revealed that thyroid hormone (TH) levels are associated with the risk of diabetic peripheral neuropathy (DPN) in euthyroid patients with type 2 diabetes mellitus (T2DM).
Meixin Sun +6 more
doaj +1 more source
BUSINESS GROWTH STRATEGIES OF ILLINOIS FARMS: A QUANTILE REGRESSION APPROACH [PDF]
This study examines the business strategies employed by Illinois farms to maintain equity growth using quantile regression analysis. Using data from the Farm Business Farm Management system, this study finds that the effect of different business ...
Hennings, Enrique, Katchova, Ani L.
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Study of Serum Leptin in Well-differentiated Thyroid Carcinoma: Correlation with Patient and Tumor Characteristics [PDF]
, 2014 Background There is a proven relationship between obesity and several cancers including breast, endometrium, colorectal, and esophagus. With the increasing incidence of both obesity and thyroid cancer, we designed the present study to investigate a ...
Elwafa, RA +3 more
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The ‘Right’ Price for Art Collectibles. A Quantile Hedonic Regression Investigation of Picasso Paintings [PDF]
Different art objects are likely to be priced by means of different systems of hedonic characteristics; more precisely, different evaluation procedures for high and low price items are often postulated.
Roberto Zanola, Antonello E. Scorcu
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Using Quantile Regression for Duration Analysis [PDF]
Quantile regression methods are emerging as a popular technique in econometrics and biometrics for exploring the distribution of duration data. This paper discusses quantile regression for duration analysis allowing for a flexible specification of the ...
Wilke, Ralf A., Fitzenberger, Bernd
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Inference for extremal conditional quantile models, with an application to market and birthweight risks [PDF]
Quantile regression is an increasingly important empirical tool in economics and other sciences for analyzing the impact of a set of regressors on the conditional distribution of an outcome. Extremal quantile regression, or quantile regression applied to
Victor Chernozhukov +1 more
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Quantile and probability curves without crossing [PDF]
The most common approach to estimating conditional quantile curves is to fit a curve, typically linear, pointwise for each quantile. Linear functional forms, coupled with pointwise fitting, are used for a number of reasons including parsimony of the ...
Alfred Galichon +2 more
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Overweight and Poor? On the Relationship between Income and the Body Mass Index [PDF]
Contrary to conventional wisdom, NHANES data indicate that the poor have never had a statistically significant higher prevalence of overweight status at any time in the last 35 years.
Jolliffe, Dean
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The importance of individual heterogeneity in the decomposition of measures of socioeconomic inequality in health: An approach based on quantile regression [PDF]
This paper shows how recently developed regression-based methods for the decomposition of health inequality can be extended to incorporate individual heterogeneity in the responses of health to the explanatory variables.
Ángel López-Nicolás, Andrew M. Jones
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