Results 31 to 40 of about 414,926 (263)
Journal of Multivariate Analysis, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shoubhik Mondal, Sundarraman Subramanian
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Survival analysis: Part I — analysis of time-to-event [PDF]
Korean Journal of Anesthesiology, 2018 Length of time is a variable often encountered during data analysis. Survival analysis provides simple, intuitive results concerning time-to-event for events of interest, which are not confined to death.
Junyong In, Dong Kyu Lee
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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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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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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: 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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Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives The association between exposure to dinutuximab beta (DB) and event‐free survival (EFS) or overall survival (OS) of neuroblastoma patients was assessed using data collected during three clinical trials (five cohorts). Methods A systematic review (March 2026) was conducted to identify relevant studies (prospective; registered DB ...
Przemysław Holko +19 more
wiley +1 more source
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 Purpose Despite 5‐year survival rates of over 90% among children and adolescents/young adults (CAYAs) with classic Hodgkin lymphoma (cHL), 15%–20% relapse after frontline therapy. Prior analysis of frontline Children's Oncology Group (COG) clinical trials demonstrated that, despite similar rates of relapse, non‐Hispanic Black (NHB) and ...
Mallorie B. Heneghan +14 more
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Frontiers in Genetics, 2020 Genome-wide analysis of miRNA molecules can reveal important information for understanding the biology of cancer. Typically, miRNAs are used as features in statistical learning methods in order to train learning models to predict cancer.
Jnanendra Prasad Sarkar +11 more
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