Results 11 to 20 of about 71,213 (265)

A Brief Overview of Restricted Mean Survival Time Estimators and Associated Variances

Stats, 2020
Restricted Mean Survival Time ( R M S T ) experiences a renaissance and is advocated as a model-free, easy to interpret alternative to proportional hazards regression and hazard rates with implication in causal inference. Estimation of R M S T
Szilárd Nemes, Erik Bülow, Andreas Gustavsson   +2 more
doaj   +1 more source

Informative Censoring—A Cause of Bias in Estimating COVID-19 Mortality Using Hospital Data

Life, 2023
(1) Background: Several retrospective observational analyzed treatment outcomes for COVID-19; (2) Methods: Inverse probability of censoring weighting (IPCW) was applied to correct for bias due to informative censoring in database of hospitalized patients
Hung-Mo Lin, Sean T. H. Liu, Matthew A. Levin, John Williamson, Nicole M. Bouvier, Judith A. Aberg, David Reich, Natalia Egorova   +7 more
doaj   +1 more source

Web Filtering and Censoring [PDF]

Computer, 2010
The public perceives the Web as a wildly uncensored medium, the embodiment of complete freedom of expression (for good or bad). In reality, information on the Web is not as uncontrolled as it may appear. According to the OpenNet Initiative (www.opennet.net), more than 40 countries actively filter Web access- selectively blocking content to a billion ...
Thomas M. Chen, Victoria Wang
openaire   +4 more sources

Supersymmetry as a cosmic censor [PDF]

Physical Review D, 1992
42 pages (figures not included)
Kallosh, Renata, Linde, Andrei, Ortín Miguel, Tomás, Peet, Amanda, Proeyen, Antoine Van   +4 more
openaire   +4 more sources

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
doaj   +1 more source

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, Yahya Mahdi Al–mayali, Muna Abbas Al–A'bidy   +2 more
doaj   +1 more source

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
doaj   +1 more source

Likelihood Inference for Copula Models Based on Left-Truncated and Competing Risks Data from Field Studies

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
doaj   +1 more source

Modified Chi-Squared Goodness-of-Fit Tests for Continuous Right-Skewed Response Generalized Linear Models

Mathematics
Generalized 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, Rūta Levulienė   +1 more
doaj   +1 more source

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
doaj   +1 more source