Results 21 to 30 of about 79,005 (311)
Web Filtering and Censoring [PDF]
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
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
Two-stage estimation to adjust for treatment switching in randomised trials: A simulation study investigating the use of inverse probability weighting instead of re-censoring [PDF]
Background Treatment switching is common in randomised trials of oncology treatments, with control group patients switching onto the experimental treatment during follow-up.
K. Abrams (6534431) +10 more
core +1 more source
Minimum Message Length Inference of the Exponential Distribution with Type I Censoring
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
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 +1 more
doaj +1 more source
Semiparametric estimation of a panel data proportional hazards model with fixed effects [PDF]
This paper considers a panel duration model that has a proportional hazards specification with fixed effects. The paper shows how to estimate the baseline and integrated baseline hazard functions without assuming that they belong to known ...
Joel L. Horowitz +5 more
core +1 more source
Review of statistical methods for survival analysis using genomic data [PDF]
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
doaj +1 more source
Parameter Estimation Based on Cumulative Kullback–Leibler Divergence
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
doaj +1 more source
Supplemental material for Factorial analyses of treatment effects under independent right-censoring
Supplemental Material for Factorial analyses of treatment effects under independent right-censoring by Dennis Dobler and Markus Pauly in Statistical Methods in Medical ...
Markus Pauly (241522) +1 more
core +1 more source
Proportional Hazard Model and Proportional Odds Model under Dependent Truncated Data
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
doaj +1 more source

