Results 111 to 120 of about 617,984 (298)

An overall strategy based on regression models to estimate relative survival and model the effects of prognostic factors in cancer survival studies.

open access: yes, 2007
Relative survival provides a measure of the proportion of patients dying from the disease under study without requiring the knowledge of the cause of death.
Belot, A   +4 more
core   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

open access: yesMolecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan   +9 more
wiley   +1 more source

Application of Fractional Polynomial Model for Determining Prognostic Factors Associated with Survival of Patients with Gastric Cancer

open access: yesمجله اپیدمیولوژی ایران, 2013
Background & Objectives: Cox regression model is one of the statistical methods in survival analysis. The use of smoothing techniques in Cox model makes the more accurate estimates for the parameters.
H Noorkojuri   +3 more
doaj  

A transformer model for cause-specific hazard prediction

open access: yesBMC Bioinformatics
Backgroud Modelling discrete-time cause-specific hazards in the presence of competing events and non-proportional hazards is a challenging task in many domains.
Matthieu Oliver   +4 more
doaj   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

open access: yesMolecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts   +8 more
wiley   +1 more source

Sarcopenia index based on serum creatinine and cystatin C is associated with the risk of stroke in middle-aged and older adults in Chinese: a prospective cohort study from the China health and retirement longitudinal study

open access: yesBMC Neurology
Objective The sarcopenia index (SI), calculated as the serum creatinine divided by the serum cystatin C, multiplied by 100, is recommended for predicting sarcopenia. However, limited evidence exists regarding its association with incident stroke. The aim
Haofei Hu   +10 more
doaj   +1 more source

Regular Variation and the Identification of Generalized Accelerated Failure-Time Models [PDF]

open access: yes
Ridder (1990) provides an identification result for the Generalized Accelerated Failure-Time (GAFT) model. We point out that Ridder's proof of this result is incomplete, and provide an amended proof with an additional necessary and sufficient condition ...
Abbring, J.H., Ridder, G.
core   +1 more source

On null hypotheses in survival analysis

open access: yes, 2019
The conventional nonparametric tests in survival analysis, such as the log-rank test, assess the null hypothesis that the hazards are equal at all times. However, hazards are hard to interpret causally, and other null hypotheses are more relevant in many
Ryalen, Pål Christie   +2 more
core   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira   +14 more
wiley   +1 more source

Likelihood-Based Estimation of a Proportional-Hazard, Competing- Risk Model with Grouped Duration Data [PDF]

open access: yes
This short paper demonstrates two important results related to the estimation of competing-risk models under the proportional-hazards assumption with grouped duration data.
Mark Yuying An
core  

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