Results 41 to 50 of about 3,057,200 (307)
Frontiers in Bioengineering and Biotechnology, 2022 The mechanism of immune infiltration involving immune cells is closely related to various diseases. A key issue in immune infiltration is the transendothelial transmigration of leukocytes.
Qingjia Chi +2 more
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Probabilistic methods for seasonal forecasting in a changing climate: Cox-type regression models [PDF]
, 2010 For climate risk management, cumulative distribution functions (CDFs) are an important source of information. They are ideally suited to compare probabilistic forecasts of primary (e.g. rainfall) or secondary data (e.g. crop yields).
Maia, A.H.N., Meinke, H.B.
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Statistical methods for elimination of guarantee-time bias in cohort studies: a simulation study
BMC Medical Research Methodology, 2017 Background Aspirin has been considered to be beneficial in preventing cardiovascular diseases and cancer. Several pharmaco-epidemiology cohort studies have shown protective effects of aspirin on diseases using various statistical methods, with the Cox ...
In Sung Cho +6 more
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Bayesian Regularisation in Structured Additive Regression Models for Survival Data [PDF]
, 2008 During recent years, penalized likelihood approaches have attracted a lot of interest both in the area of semiparametric regression and for the regularization of high-dimensional regression models.
Konrath, Susanne +2 more
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Jurnal Biometrika dan Kependudukan, 2018 Relapse happened because of factor that affected an addict back to the previous state. Recurrence rate off an addict that had been treated on a various therapeutic center and rehabilitation was higher from 60% until 80%.
Kardita Puspa Monitasari, Diah Indriani
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Survival Analysis with Multivariate adaptive Regression Splines [PDF]
, 2007 Multivariate adaptive regression splines (MARS) are a useful tool to identify linear and nonlinear effects and interactions between two covariates. In this dissertation a new proposal to model survival type data with MARS is introduced.
Kriner, Monika
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Survival analysis: part II – applied clinical data analysis [PDF]
Korean Journal of Anesthesiology, 2019 As a follow-up to a previous article, this review provides several in-depth concepts regarding a survival analysis. Also, several codes for specific survival analysis are listed to enhance the understanding of such an analysis and to provide an ...
Junyong In, Dong Kyu Lee
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Deep Cox Mixtures for Survival Regression
CoRR, 2021 Survival analysis is a challenging variation of regression modeling because of the presence of censoring, where the outcome measurement is only partially known, due to, for example, loss to follow up. Such problems come up frequently in medical applications, making survival analysis a key endeavor in biostatistics and machine learning for healthcare ...
Chirag Nagpal +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Numerous international studies have reported declines in new cancer diagnoses, delayed diagnoses and disruptions in cancer treatment following the implementation of COVID‐19 pandemic public health measures, raising concerns that these effects may ultimately contribute to increased cancer mortality.
Friederike Erdmann +8 more
wiley +1 more source