Smooth quantile ratio estimation with regression: estimating medical expenditures for smoking-attributable diseases

DOI10.1093/BIOSTATISTICS/KXI031zbMath1169.62405OpenAlexW2145592821WikidataQ48489701 ScholiaQ48489701MaRDI QIDQ3434103

Francesca Dominici, Scott L. Zeger

Publication date: 23 April 2007

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxi031

zbMATH Keywords

Quantile regressionLog-normalRegression splinesSmokingQ-Q plotsComparing meansHealth expendituresPropensity scoresSkewed distributions

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics (62P99) Mathematical economics (91B99)

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Generalized quantile treatment effect: a flexible Bayesian approach using quantile ratio smoothing ⋮ Quantile regression for massive data with network-induced dependence, and application to the New York statewide planning and research cooperative system ⋮ Objective bayesian inference for quantile ratios in normal models ⋮ Gamma shape mixtures for heavy-tailed distributions ⋮ Asymptotic distribution and simultaneous confidence bands for ratios of quantile functions ⋮ Bayesian Tobit quantile regression model for medical expenditure panel survey data ⋮ Statistical analysis of zero-inflated nonnegative continuous data: a review

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