Results 11 to 20 of about 86,128 (305)
Semiparametric estimation of the accelerated failure time model with partly interval-censored data. [PDF]
Biometrics, 2017 Gao F, Zeng D, Lin DY.
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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
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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
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Bayesian Analysis of Clustered Interval-censored Data [PDF]
Journal of Dental Research, 2005 The recording of multiple interval-censored failure times is common in dental research. Modeling multilevel data has been a difficult task. This paper aims to use the Bayesian approach to analyze a set of multilevel clustered interval-censored data from a clinical study to investigate the effectiveness of silver diamine fluoride and sodium fluoride ...
Wong, MCM, Lo, ECM, Lam, KF
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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
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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
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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
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A semiparametric cure model for interval‐censored data [PDF]
Biometrical Journal, 2013 There is a growing interest in the analysis of survival data with a cured proportion particularly in tumor recurrences studies. Biologically, it is reasonable to assume that the recurrence time is mainly affected by the overall health condition of the patient that depends on some covariates such as age, sex, or treatment type received.
Lam, KF, Wong, KY, Zhou, F
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Empirical Density Estimation for Interval Censored Data
Austrian Journal of Statistics, 2016 This paper is concerned with the nonparametric estimation of a density function when the data are incomplete due to interval censoring. The Nadaraya-Watson kernel density estimator is modified to allow description of such interval data.
Eugenia Stoimenova
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Stochastic EM algorithm for doubly interval-censored data [PDF]
Biostatistics, 2013 In clinical trials, it is frequently of interest to estimate the time between the onset of two events (e.g. duration of response in oncology). Here, we consider the case where subjects are assessed at fixed visits but the initial event and the terminating event occur in between visits.
Dejardin, David, LESAFFRE, Emmanuel
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