Results 11 to 20 of about 62,887 (245)
Asymptotic Relative Efficiency of Parametric and Nonparametric Survival Estimators
Stats, 2023 The dominance of non- and semi-parametric methods in survival analysis is not without criticism. Several studies have highlighted the decrease in efficiency compared to parametric methods. We revisit the problem of Asymptotic Relative Efficiency (ARE) of
Szilárd Nemes
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Interval Censored Recursive Forests [PDF]
Journal of Computational and Graphical Statistics, 2021 We propose the interval censored recursive forests (ICRF) which is an iterative tree ensemble method for interval censored survival data. This nonparametric regression estimator makes the best use of censored information by iteratively updating the survival estimate, and can be viewed as a self-consistent estimator with convergence monitored using out ...
Hunyong Cho +2 more
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Analysis of Breast Cancer Data using Kaplan–Meier Survival Analysis
Journal of Kufa for Mathematics and Computer, 2012 The Kaplan–Meier estimator is a very popular that provides better estimates to determine the median when the sample size is reasonably large.
Nazera Khalil Dakhil +2 more
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Most Likely Transformations: The mlt Package
Journal of Statistical Software, 2020 The mlt package implements maximum likelihood estimation in the class of conditional transformation models. Based on a suitable explicit parameterization of the unconditional or conditional transformation function using infrastructure from package ...
Torsten Hothorn
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Mathematics, 2022 Survival and reliability analyses deal with incomplete failure time data, such as censored and truncated data. Recently, the classical left-truncation scheme was generalized to analyze “field data”, defined as samples collected within a fixed period ...
Hirofumi Michimae, Takeshi Emura
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Minimum Message Length Inference of the Exponential Distribution with Type I Censoring
Entropy, 2021 Data with censoring is common in many areas of science and the associated statistical models are generally estimated with the method of maximum likelihood combined with a model selection criterion such as Akaike’s information criterion.
Enes Makalic, Daniel Francis Schmidt
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MathematicsGeneralized linear models are applied for data analysis in various areas. One of the most important steps in fitting the model is to check the goodness-of-fit; however, there is a lack of such tests.
Vilijandas Bagdonavičius +1 more
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Review of statistical methods for survival analysis using genomic data [PDF]
Genomics & Informatics, 2019 Survival analysis mainly deals with the time to event, including death, onset of disease, and bankruptcy. The common characteristic of survival analysis is that it contains “censored” data, in which the time to event cannot be completely observed, but ...
Seungyeoun Lee, Heeju Lim
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Parameter Estimation Based on Cumulative Kullback–Leibler Divergence
Revstat Statistical Journal, 2021 In this paper, we propose some estimators for the parameters of a statistical model based on Kullback–Leibler divergence of the survival function in continuous setting and apply it to type I censored data.
Yaser Mehrali , Majid Asadi
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Proportional Hazard Model and Proportional Odds Model under Dependent Truncated Data
Axioms, 2022 Truncation data arise when the interested event time can be observed only if it satisfies a certain condition. Most of the existing approaches analyze this kind of data by assuming the truncated variable is quasi-independent of the interested event time.
Jin-Jian Hsieh, Yun-Jhu Chen
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