Results 31 to 40 of about 18,981 (120)

SAMPLE SIZE DETERMINATION IN NON-RADOMIZED SURVIVAL STUDIES WITH NON-CENSORED AND CENSORED DATA

open access: yesJournal of Research in Medical Sciences, 2003
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
doaj  

Inferences for the GKME Distribution Under Progressive Type-I Interval Censoring with Random Removals and Its Application to Survival Data

open access: yesAxioms
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
doaj   +1 more source

Parameter Estimation of the Lomax Lifetime Distribution Based on Middle-Censored Data: Methodology, Applications, and Comparative Analysis

open access: yesAxioms
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
doaj   +1 more source

Estimating individuals' genetic and non-genetic effects underlying infectious disease transmission from temporal epidemic data.

open access: yesPLoS Computational Biology, 2020
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
doaj   +1 more source

What is next for occupational cancer epidemiology?

open access: yesScandinavian Journal of Work, Environment & Health, 2022
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
doaj   +1 more source

A New Hjorth Distribution in Its Discrete Version

open access: yesMathematics
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
doaj   +1 more source

Unbiased statistical length analysis of linear features: adapting survival analysis to geological applications [PDF]

open access: yesSolid Earth
A proper quantitative statistical characterization of fracture length or height is of paramount importance when analysing outcrops of fractured rocks.
G. Benedetti   +4 more
doaj   +1 more source

Bayesian Estimation of Reliability of the Electronic Components Using Censored Data from Weibull Distribution: Different Prior Distributions

open access: yesInternational Journal of Industrial Engineering and Production Research, 2014
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
doaj  

On Moments of Inverse Kumaraswamy Distribution Based on Progressive Type-II Censored Order Statistics

open access: yesJournal of Statistical Theory and Applications (JSTA)
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
doaj   +1 more source

BAYESIAN ESTIMATION OF THE SCALE PARAMETER OF THE WEIBULL DISTRIBUTION USING THE LINEX AND ITS APPLICATION TO STROKE PATIENT DATA

open access: yesBarekeng
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
doaj   +1 more source

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