Results 51 to 60 of about 349,638 (336)

joineR: Joint modelling of repeated measurements and time-to-event data [PDF]

open access: yes, 2012
The joineR package implements methods for analysing data from longitudinal studies in which the response from each subject consists of a time-sequence of repeated measurements and a possibly censored time-toevent outcome.
Diggle, Peter   +5 more
core  

Social context prevents heat hormetic effects against mutagens during fish development

open access: yesFEBS Letters, EarlyView.
This study shows that sublethal heat stress protects fish embryos against ultraviolet radiation, a concept known as ‘hormesis’. However, chemical stress transmission between fish embryos negates this protective effect. By providing evidence for the mechanistic molecular basis of heat stress hormesis and interindividual stress communication, this study ...
Lauric Feugere   +5 more
wiley   +1 more source

A flexible alternative to the Cox proportional hazards model for assessing the prognostic accuracy of hospice patient survival. [PDF]

open access: yesPLoS ONE, 2012
Prognostic models are often used to estimate the length of patient survival. The Cox proportional hazards model has traditionally been applied to assess the accuracy of prognostic models.
Branko Miladinovic   +5 more
doaj   +1 more source

B cell mechanobiology in health and disease: emerging techniques and insights into therapeutic responses

open access: yesFEBS Letters, EarlyView.
B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro   +2 more
wiley   +1 more source

Density Regression Based on Proportional Hazards Family [PDF]

open access: yes, 2015
This paper develops a class of density regression models based on proportional hazards family, namely, Gamma transformation proportional hazard (Gt-PH) model . Exact inference for the regression parameters and hazard ratio is derived.
Bickel   +13 more
core   +2 more sources

Prognostic Factors in Patients With Colorectal Cancer at Hospital Universiti Sains Malaysia

open access: yesAsian Journal of Surgery, 2010
To determine the 5-year survival rate and prognostic factors for survival in patients with colorectal cancer treated at the Surgical Unit, Hospital Universiti Sains Malaysia (HUSM), Kelantan, Malaysia.
Anis Kausar Ghazali   +3 more
doaj   +1 more source

Bayesian bootstrap for proportional hazards models [PDF]

open access: yesThe Annals of Statistics, 2003
We propose two Bayesian bootstrap extensions, the binomial and Poisson forms, for proportional hazards models. The binomial form Bayesian bootstrap is the limit of the posterior distribution with a beta process prior as the amount of the prior information vanishes, and thus can be considered as a default nonparametric Bayesian analysis.
Kim, Yongdai, Lee, Jaeyong
openaire   +3 more sources

Evolutionary interplay between viruses and R‐loops

open access: yesFEBS Letters, EarlyView.
Viruses interact with specialized nucleic acid structures called R‐loops to influence host transcription, epigenetic states, latency, and immune evasion. This Perspective examines the roles of R‐loops in viral replication, integration, and silencing, and how viruses co‐opt or avoid these structures.
Zsolt Karányi   +4 more
wiley   +1 more source

Semiparametric estimation of a panel data proportional hazards model with fixed effects [PDF]

open access: yes, 2002
This paper considers a panel duration model that has a proportional hazards specification with fixed effects. The paper shows how to estimate the baseline and integrated baseline hazard functions without assuming that they belong to known ...
Horowitz, J., Lee, S.
core  

Analysis of survival-related factors in patients with endometrial cancer using a Bayesian network model.

open access: yesPLoS ONE
BackgroundIn recent years, remarkable progress has been made in the use of machine learning, especially in analyzing prognosis survival data. Traditional prediction models cannot identify interrelationships between factors, and the predictive accuracy is
Huan Zhang, Shan Zhao, Pengzhong Lv
doaj   +1 more source

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