We consider the estimation of parameters in a particular segmented generalized linear model with additive measurement error in predictors, with a focus on linear and logistic regression. In epidemiologic studies segmented regression models often occur as threshold models, where it is assumed that the exposure has no influence on the response up to a possibly unknown threshold. Furthermore, in o...

BackgroundAppendicitis is the most common indication for an emergency operation in children's age. Although none of the laboratory values has not high sensitivity and specificity for the diagnosis of appendicitis, leukocyte count and the percentage of segmented neutrophils are most commonly used. The aim of this study was to determine whether there is a statistically significant correlation bet...

background and objectives: germination and seedling establishment are two critical and important stages during plants growing season. from seed technology viewpoint, germination refers to emergence and development from seed embryo, so that could produce normal seedling. many studies  have been done to determine germination cardinal temperatures and required thermal time for emergence occurrence...

We propose a semiparametric two-phase regression estimator with a semiparametric generalized propensity score estimator for estimating average treatment effects in the presence of informative first-phase sampling. The proposed estimator can be easily extended to any number of treatments and does not rely on a prespecified form of the response or outcome functions. The proposed estimator is show...

This paper introduces a novel mixture model-based approach for simultaneous clustering and optimal segmentation of functional data which are curves presenting regime changes. The proposed model consists in a finite mixture of piecewise polynomial regression models. Each piecewise polynomial regression model is associated with a cluster, and within each cluster, each piecewise polynomial compone...