Results 1 to 10 of about 100,255 (311)
The liability threshold model for censored twin data [PDF]
Computational Statistics & Data Analysis, 2016 Family studies provide an important tool for understanding etiology of diseases, with the key aim of discovering evidence of family aggregation and to determine if such aggregation can be attributed to genetic components. Heritability and concordance estimates are routinely calculated in twin studies of diseases, as a way of quantifying such genetic ...
Klaus K. Holst +2 more
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Variable Selection for Generalized Linear Models with Interval-Censored Failure Time Data
Mathematics, 2022 Variable selection is often needed in many fields and has been discussed by many authors in various situations. This is especially the case under linear models and when one observes complete data.
Rong Liu +3 more
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Model Calibration With Censored Data
Technometrics, 2018 AbstractThe purpose of model calibration is to make the model predictions closer to reality. The classical Kennedy-O'Hagan approach is widely used for model calibration, which can account for the inadequacy of the computer model while simultaneously estimating the unknown calibration parameters.
Fang Cao +3 more
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Evidential Estimation of an Uncertain Mixed Exponential Distribution under Progressive Censoring
Entropy, 2020 In this paper, the evidential estimation method for the parameters of the mixed exponential distribution is considered when a sample is obtained from Type-II progressively censored data.
Kuang Zhou, Yimin Shi
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cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values
Journal of Statistical Software, 2023 Sparse graphical models have revolutionized multivariate inference. With the advent of high-dimensional multivariate data in many applied fields, these methods are able to detect a much lower-dimensional structure, often represented via a sparse ...
Luigi Augugliaro +3 more
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icenReg: Regression Models for Interval Censored Data in R
Journal of Statistical Software, 2017 The non-parametric maximum likelihood estimator and semi-parametric regression models are fundamental estimators for interval censored data, along with standard fullyparametric regression models.
Clifford Anderson-Bergman
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Scientific Reports, 2021 The Cox proportional hazards model is a widely used statistical method for the censored data that model the hazard rate rather than survival time. To overcome complexity of interpreting hazard ratio, quantile regression was introduced for censored data ...
Akram Yazdani +4 more
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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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Stats, 2022 We study the Stacy-G family, which extends the gamma-G class and provides four of the most well-known forms of the hazard rate function: increasing, decreasing, bathtub, and inverted bathtub. We provide some of its structural properties.
Lucas D. Ribeiro Reis +2 more
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Estimating Dynamic Signals From Trial Data With Censored Values
Computational Psychiatry, 2017 Censored data occur commonly in trial-structured behavioral experiments and many other forms of longitudinal data. They can lead to severe bias and reduction of statistical power in subsequent analyses.
Ali Yousefi +4 more
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