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Current knowledge of amphibian diversity in Sumatra, and its significance for conservation
The amphibians of the Indonesian island of Sumatra are poorly known, despite it being recognized as a biodiversity hotspot. For determining conservation priorities, up-to-date knowledge of the state of amphibian diversity in Sumatra is crucial ...
Umilaela Arifin
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Playtime Measurement With Survival Analysis [PDF]
Maximizing product use is a central goal of many businesses, which makes retention and monetization two central analytics metrics in games. Player retention may refer to various duration variables quantifying product use: total playtime or session playtime are popular research targets, and active playtime is well-suited for subscription games.
Markus Viljanen +3 more
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On the IUCN Red List the saltwater crocodile Crocodylus porosus is categorized globally as Least Concern, with national populations ranging from fully recovered to extinct.
Sebastian Brackhane +8 more
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Temperature-dependent seasonal migrations are well-known in the sand tiger shark Carcharias taurus in Australia and the USA; however, its behavioral ecology in Japan remains unclear due to limited data.
A Nagahara +10 more
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BackgroundDespite accumulating evidence revealing that Glucose-6-phosphate dehydrogenase (G6PD) is highly expressed in many tumor tissues and plays a remarkable role in cancer tumorigenesis and progression, there is still a lack of G6PD pan-cancer ...
Tao Zeng +11 more
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Survival Analysis Part IV: Further concepts and methods in survival analysis [PDF]
Most analyses of survival data use primarily Kaplan-Meier plots, logrank tests and Cox models. We have described the rationale and interpretation of each method in previous papers of this series, but here we have sought to highlight some of their limitations. We have also suggested alternative methods that can be applied when either the data or a given
Clark, T.G. +3 more
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Informed Bayesian survival analysis
AbstractBackgroundWe provide an overview of Bayesian estimation, hypothesis testing, and model-averaging and illustrate how they benefit parametric survival analysis. We contrast the Bayesian framework to the currently dominant frequentist approach and highlight advantages, such as seamless incorporation of historical data, continuous monitoring of ...
Bartoš, F., Aust, F., Haaf, J.M.
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Recommendation Algorithm Based on Survival Action Rules
Survival analysis is widely used in fields such as medical research and reliability engineering to analyze data where not all subjects experience the event of interest by the end of the study.
Marek Hermansa +3 more
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Nonparametric Inference in Mixture Cure Models
A completely nonparametric method for the estimation of mixture cure models is proposed. Nonparametric estimators for the cure probability (incidence) and for the survival function of the uncured population (latency) are introduced.
Ana López-Cheda +3 more
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Grip strength is a strong predictor of survival in nonagenarians and centenarians
Objectives: To understand the importance of hand grip strength (HGS) as a survival predictor in nonagenarians and centenarians. Methods: Longitudinal, observational and analytical study, using HGS measurements obtained during a first evaluation performed
Marlon Cassio Pereira Grigol +2 more
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