On predictive density estimation for Gamma models with parametric constraints
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2017.01.003
Abstract: Abstract This paper is concerned with prediction for Gamma models, and more specifically the estimation of a predictive density for Y ∼ G a ( α 2 , β ) under Kullback–Leibler loss, based on… read more here.
Keywords: estimation; density; gamma models; predictive density ... See more keywords
Locally optimal designs for gamma models
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DOI: 10.1016/j.jspi.2019.04.002
Abstract: Abstract Gamma models with a power link function are considered constituting a particular class of Generalized Linear Models. Relevant structures for the linear predictor are employed covering the common models studied in the literature. One… read more here.
Keywords: designs gamma; optimal designs; gamma models; locally optimal ... See more keywords
Gamma models for estimating the odds ratio for a skewed biomarker measured in pools and subject to errors.
Sign Up to like & getrecommendations! Published in 2019 at "Biostatistics"
DOI: 10.1093/biostatistics/kxz028
Abstract: Measuring a biomarker in pooled samples from multiple cases or controls can lead to cost-effective estimation of a covariate-adjusted odds ratio, particularly for expensive assays. But pooled measurements may be affected by assay-related measurement error… read more here.
Keywords: measured pools; biomarker; models estimating; odds ratio ... See more keywords