نتایج جستجو برای: breslow estimator
تعداد نتایج: 30790 فیلتر نتایج به سال:
Let X be a random variable from a normal distribution with unknown mean θ and known variance σ2. In many practical situations, θ is known in advance to lie in an interval, say [−m,m], for some m > 0. As the usual estimator of θ, i.e., X under the LINEX loss function is inadmissible, finding some competitors for X becomes worthwhile. The only study in the literature considered the problem of min...
BACKGROUND Recent studies have suggested that sentinel lymph node (SLN) biopsy is of limited value in desmoplastic melanoma. This study was performed to compare the rate of positive SLN biopsy in the Surveillance, Epidemiology, and End Results (SEER) database with that of a multi-institutional clinical trial and to investigate relevant prognostic factors in desmoplastic melanoma. STUDY DESIGN...
BACKGROUND The incidence of melanoma cutaneous and the mortalities rates are rising in most countries worldwide. OBJECTIVE to describe the histopathological characteristics of cutaneous melanoma, according to the criteria established by the Brazilian Group of Melanoma, and to evaluate early diagnosis in a cancer treatment referral center. METHODS we performed a cross-sectional descriptive s...
AIMS To audit the content of primary cutaneous malignant melanoma histopathology reports with special reference to Breslow thickness and lateral excision margins. METHODS The Trent Regional Cancer Registry was asked to provide details of primary cutaneous malignant melanomas for the most recent year available (1990). Histopathology departments were then requested to provide copies of the rele...
OBJECTIVE To describe current management of cutaneous melanoma (CM) and identify factors accounting for disparities. DESIGN Retrospective population-based study using survey of cancer registries and pathology laboratories, and questionnaires to physicians. SETTING Five regions covering 19.2% of the French territory and including 8.2 million inhabitants. PATIENTS Incident cases of patients...
Kernel density estimators are the basic tools for density estimation in non-parametric statistics. The k-nearest neighbor kernel estimators represent a special form of kernel density estimators, in which the bandwidth is varied depending on the location of the sample points. In this paper, we initially introduce the k-nearest neighbor kernel density estimator in the random left-truncatio...
State estimation is the foundation of any control and decision making in power networks. The first requirement for a secure network is a precise and safe state estimator in order to make decisions based on accurate knowledge of the network status. This paper introduces a new estimator which is able to detect bad data with few calculations without need for repetitions and estimation residual cal...
We consider tied survival data based on Cox proportional regression model. The standard approaches are the Breslow and Efron approximations and various so called exact methods. All these methods lead to biased estimates when the true underlying model is in fact a Cox model. In this paper we review the methods and suggest a new method based on the missing-data principle using EM-algorithm that l...
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