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Alexandria Engineering Journal, 2022 Time-to- failure under different causes of failure is known as a competing risks model. Practice, competing risks data can be appeared in different applications such as engineering fields or biological and medical lifetime studies as well as other ...
Tahani.A. Abushal +2 more
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Competing Risks In Mortality Analysis [PDF]
Annual Review of Public Health, 1991 In this paper we present a brief review of the concept of competing risks and the statistical methods of mortality analysis including estimation of three types of probability of dying with respect to a particular cause of death. We will describe formulas of estimates for cohort studies medical follow-up studies and analyses of mortality data for a ...
openaire +2 more sources
Competing risk models to estimate the excess mortality and the first recurrent-event hazards [PDF]
, 2011 Background In medical research, one common competing risks situation is the study of different types of events, such as disease recurrence and death. We focused on that situation but considered death under two aspects: "expected death" and "excess death",
Belot Aurélien +14 more
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Understanding competing risks: a simulation point of view
BMC Medical Research Methodology, 2011 Background Competing risks methodology allows for an event-specific analysis of the single components of composite time-to-event endpoints. A key feature of competing risks is that there are as many hazards as there are competing risks.
Wanner Christoph +4 more
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Competing-risks model for pre-eclampsia and adverse pregnancy outcomes.
, 2022 The competing risks model for assessment of risk for pre-eclampsia (PE) at 35-36 weeks' gestation identifies the majority of women whose pregnancies are at high-risk for subsequent delivery with PE. To objective of this study was to examine, according to
Wright, A +6 more
core +1 more source
Competing-risks model for prediction of small-for-gestational-age neonates at 36 weeks' gestation.
, 2022 To develop further a new competing risks model for the prediction of small-for-gestational-age (SGA) neonates, by including sonographically estimated fetal weight (EFW) and biomarkers of impaired placentation at 36 weeks' gestation.
Dimopoulou, S +5 more
core +1 more source
BMC Medical Research Methodology, 2017 Background To illustrate the 10-year risks of urinary adverse events (UAEs) among men diagnosed with prostate cancer and treated with different types of therapy, accounting for the competing risk of death.
Charlotte A. Bolch +5 more
doaj +1 more source
Competing risks models and time-dependent covariates [PDF]
, 2008 New statistical models for analysing survival data in an intensive care unit context have recently been developed. Two models that offer significant advantages over standard survival analyses are competing risks models and multistate models.
Adrian Barnett +3 more
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Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
FEBS Letters, EarlyView.This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source
Competing risks to breast cancer mortality in Catalonia
BMC Cancer, 2008 Background Breast cancer mortality has experienced important changes over the last century. Breast cancer occurs in the presence of other competing risks which can influence breast cancer incidence and mortality trends. The aim of the present work is: 1)
Espinàs Josep-Alfons +6 more
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