Results 21 to 30 of about 2,145,607 (256)

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, Pla Roger, Carles Misericòrdia, Martínez-Alonso Montserrat, Gispert Rosa, Vilaprinyo Ester, Rué Montserrat   +6 more
doaj   +1 more source

Inference of partially observed causes for failure of Lomax competing risks model under type-II generalized hybrid censoring scheme

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, A.A. Soliman, G.A. Abd-Elmougod   +2 more
doaj   +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, Papastefanou, I., Nicolaides, K H, Akolekar, R., Syngelaki, A., Thanopoulou, V   +5 more
core   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +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, Barnett, Adrian G., Nick Graves, Graves, Nicholas   +3 more
core   +2 more sources

Inverse probability of treatment-weighted competing risks analysis: an application on long-term risk of urinary adverse events after prostate cancer treatments

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, Haitao Chu, Stephanie Jarosek, Stephen R. Cole, Sean Elliott, Beth Virnig   +5 more
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source

Modelling competing risks data by a bivariate model with singularity originating from a shock model using the Lehmann family of distributions

Research in Statistics
In this article, a general family of bivariate distributions is used to model competing risks data with dependent causes. The general structure of competing risks data considered here includes ties.
Aakash Agrawal, Ayon Ganguly, Debanjan Mitra   +2 more
doaj   +1 more source

Weighted Competing Risks Quantile Regression Models and Variable Selection

Mathematics, 2023
The proportional subdistribution hazards (PSH) model is popularly used to deal with competing risks data. Censored quantile regression provides an important supplement as well as variable selection methods due to large numbers of irrelevant covariates in
Erqian Li, Jianxin Pan, Manlai Tang, Keming Yu, Wolfgang Karl Härdle, Xiaowen Dai, Maozai Tian   +6 more
doaj   +1 more source