background: during the last decades, the number of dentistry units increased significantly across the country. the aim of this study was to assess the efficiency of dental units of iran provinces regarding dental health inputs and outputs using data envelopment analysis approach. methods: in this applied descriptive-analytical study, the study population included all of iran 31 provinces. the o...

noonan syndrome is an autosomal dominant disorder that is typically evident at birth. in many affected individuals, this syn­drome is associated with cardiac defects and a distinctive facial appearance. the high frequency of cardiac disorder, oph­thalmic, growth and orthopedic signs, associated with noonan syndrome emphasizes the need for early diagnosis. this re­port aimed to present a 19 year...

A model for missing data in mixed binary and continuous responses, which can be used on cross-sectional data, is presented. In this model response indicator for the binary response can be dependent on the continuous response. A closed form for the likelihood is found. For data with a complicated pattern of missing responses some new residuals are also proposed. The model of multiplicative heter...

normal 0 false false false en-us x-none ar-sa microsoftinternetexplorer4 the maxillary lateral incisor is the second most common congenitally absent tooth. there are several treatment options for replacing the missing maxillary lateral incisor, including canine substitution, tooth-supported restoration, or single-tooth implant. dental implants are an appropriate treatment option for replacing m...

This paper gives a detailed overview of the problem of missing data in parametric and nonparametric regression. Theoretical basics, properties as well as simulation results may help the reader to get familiar with the common problem of incomplete data sets. Of course, not all occurences can be discussed so this paper could be seen as an introduction to missing data within regression analysis an...

In this paper we discuss a possible approach to confident prediction from data containing missing values presented in a probabilistic form. To achieve this we revise and generalize the notion of credibility known in the theory of conformal prediction.