Results 31 to 40 of about 783,235 (315)

Assessing Performance of the Generalized Exponential Model in the Presence of the Interval Censored Data with Covariate

Austrian Journal of Statistics, 2022
This study aims to extend the generalized exponential model (GEM) to include covariates in the presence of interval-censored data. The maximum likelihood estimator (MLE) was obtained for the parameter of the model formulated.
Nada Alharbi, Jayanthi A., Haizum A., Wendy Ling   +3 more
doaj   +3 more sources

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, Shishun Zhao, Tao Hu, Jianguo Sun   +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

Bayesian Estimations of Exponential Distribution Based on Interval-Censored Data with a Cure Fraction

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

Maximum Likelihood Estimation and Bayesian Estimation of three-parameter Weibull Distribution Based on Interval-Censored Data

, 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

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, Cheung LC, Pan Q, Schiffman M, Katki HA.   +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., Komárek A., Lan K.K.G., Proschan M.A., Turnbull B.W.   +4 more
core   +3 more sources