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SAMPLE SIZE DETERMINATION IN NON-RADOMIZED SURVIVAL STUDIES WITH NON-CENSORED AND CENSORED DATA
Introduction: In survival analysis, determination of sufficient sample size to achieve suitable statistical power is important .In both parametric and non-parametric methods of classic statistics, randomn selection of samples is a basic condition ...
S FAGHIHZADEH, M RAHGOZAR
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The analysis of lifetime data under censoring schemes plays a vital role in reliability studies and survival analysis, where complete information is often difficult to obtain. This work focuses on the estimation of the parameters of the recently proposed
Ela Verma +3 more
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The Lomax distribution has important applications in survival analysis, reliability engineering, insurance, finance, and other fields. Middle-censoring is an important censoring scheme, and data with middle-censoring will produce censoring in random ...
Peiyao Ren, Wenhao Gui, Shan Liang
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Individuals differ widely in their contribution to the spread of infection within and across populations. Three key epidemiological host traits affect infectious disease spread: susceptibility (propensity to acquire infection), infectivity (propensity to
Christopher M Pooley +4 more
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What is next for occupational cancer epidemiology?
Research on occupational causes of cancer has identified 47 known (Group 1) agents associated with 23 types of cancer through 2017, an increase from 28 agents in 2004 (1, 2).
Michelle C Turner
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A New Hjorth Distribution in Its Discrete Version
The Hjorth distribution is more flexible in modeling various hazard rate shapes, including increasing, decreasing, and bathtub shapes. This makes it highly useful in reliability analysis and survival studies, where different failure rate behaviors must ...
Hanan Haj Ahmad, Ahmed Elshahhat
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Unbiased statistical length analysis of linear features: adapting survival analysis to geological applications [PDF]
A proper quantitative statistical characterization of fracture length or height is of paramount importance when analysing outcrops of fractured rocks.
G. Benedetti +4 more
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The Weibull distribution has been widely used in survival and engineering reliability analysis. In life testing experiments is fairly common practice to terminate the experiment before all the items have failed, that means the data are censored.
fernando antonio Moala
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Daghistani et al. (Pak J Stat Oper Res 989–997, 2019) introduced and investigated the properties of the new inverse Kumaraswamy distribution. This distribution has numerous applications in various fields, including life testing, biology, and medicine ...
Areej M. AL-Zaydi
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Survival analysis is used to study the timing of an event, such as recovery or death, in the context of medical data. One of the diseases that many people suffer from is stroke.
Tentri Ryan Rahmanita +4 more
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