Results 31 to 40 of about 783,235 (314)
Interval-censored data with misclassification: a Bayesian approach. [PDF]
J Appl Stat, 2021 Survival data involving silent events are often subject to interval censoring (the event is known to occur within a time interval) and classification errors if a test with no perfect sensitivity and specificity is applied. Considering the nature of this data plays an important role in estimating the time distribution until the occurrence of the event ...
Pires MC +3 more
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A Gamma-frailty proportional hazards model for bivariate interval-censored data. [PDF]
Comput Stat Data Anal, 2018 Gamage PWW, McMahan CS, Wang L, Tu W.
europepmc +2 more sources
Partially Linear Additive Hazards Regression for Bivariate Interval-Censored Data
Axioms, 2023 In this paper, we discuss regression analysis of bivariate interval-censored failure time data that often occur in biomedical and epidemiological studies. To solve this problem, we propose a kind of general and flexible copula-based semiparametric partly
Ximeng Zhang +3 more
doaj +1 more source
Confidence intervals for ratio of means of delta-lognormal distributions based on left-censored data with application to rainfall data in Thailand [PDF]
PeerJ, 2023 Thailand is a country that is prone to both floods and droughts, and these natural disasters have significant impacts on the country’s people, economy, and environment. Estimating rainfall is an important part of flood and drought prevention.
Warisa Thangjai, Sa-Aat Niwitpong
doaj +2 more sources
CTIVA: Censored time interval variable analysis.
PLoS ONE, 2023 Traditionally, datasets with multiple censored time-to-events have not been utilized in multivariate analysis because of their high level of complexity.
Insoo Kim, Junhee Seok, Yoojoong Kim
doaj +1 more source
, 2021 The interval-censored data is that represents adjacent inspection times that surround an unknown failure time. This paper gives a review of the classical approach of the maximum likelihood estimating method to parameters of three-parameters Weibull ...
Abdullah A. Ameen, Uday A. Akkash
semanticscholar +1 more source
Journal of Mathematics, 2021 Censored data are considered to be of the interval type where the upper and lower bounds of an event’s failure time cannot be directly observed but only determined between interval inspection times.
Al Omari Mohammed Ahmed
doaj +1 more source
Variable Selection for Length-Biased and Interval-Censored Failure Time Data
Mathematics, 2023 Length-biased failure time data occur often in various biomedical fields, including clinical trials, epidemiological cohort studies and genome-wide association studies, and their analyses have been attracting a surge of interest.
Fan Feng, Guanghui Cheng, Jianguo Sun
doaj +1 more source
FLEXIBLE RISK PREDICTION MODELS FOR LEFT OR INTERVAL-CENSORED DATA FROM ELECTRONIC HEALTH RECORDS. [PDF]
Ann Appl Stat, 2017 Hyun N +4 more
europepmc +2 more sources
Estimation of Conditional Power for Cluster-Randomized Trials with Interval-Censored Endpoints [PDF]
, 2020 Cluster-randomized trials (CRTs) of infectious disease preventions often yield correlated, interval-censored data: dependencies may exist between observations from the same cluster, and event occurrence may be assessed only at intermittent clinic visits.
Hayes R.J. +4 more
core +3 more sources