Results 71 to 80 of about 1,415,363 (344)

Stratified Cox Model with Interactions in Analysis of Recurrent Events

open access: yesActa Universitatis Lodziensis. Folia Oeconomica, 2018
The purpose of this paper is the assessment of relative intensity of exit from registered unemployment by means of the analysis of recurrent survival episodes and the comparison of these results with the results obtained for an individual episode.
Beata Bieszk‑Stolorz
doaj   +1 more source

Circulating tumor DNA monitoring and blood tumor mutational burden in patients with metastatic solid tumors treated with atezolizumab

open access: yesMolecular Oncology, EarlyView.
In patients treated with atezolizumab as a part of the MyPathway (NCT02091141) trial, pre‐treatment ctDNA tumor fraction at high levels was associated with poor outcomes (radiographic response, progression‐free survival, and overall survival) but better sensitivity for blood tumor mutational burden (bTMB).
Charles Swanton   +17 more
wiley   +1 more source

Multiple imputation approach for interval-censored time to HIV RNA viral rebound within a mixed effects Cox model [PDF]

open access: yes, 2018
This is the peer reviewed version of the following article: “Alarcón-Soto, Y, Langohr K., Fehér, C., García, F., and Gómez, G. (2018) Multiple imputation approach for interval-censored time to HIV RNA viral rebound within a mixed effects Cox Model ...
Alarcón Soto, Yovaninna   +4 more
core   +2 more sources

Unraveling LINE‐1 retrotransposition in head and neck squamous cell carcinoma

open access: yesMolecular Oncology, EarlyView.
The novel RetroTest method allows the detection of L1 activation in clinical samples with low DNA input, providing global L1 activity and the identification of the L1 source element. We applied RetroTest to a real‐world cohort of HNSCC patients where we reported an early L1 activation, with more than 60% of T1 patients showing L1 activity.
Jenifer Brea‐Iglesias   +12 more
wiley   +1 more source

Uncertain Box-Cox Regression Analysis With Rescaled Least Squares Estimation

open access: yesIEEE Access, 2020
Under the uncertain statistical framework by Liu [19], there is still a lack of an effective fitting method for uncertain linear models with Box-Cox transformation of response variables.
Shiqin Liu   +3 more
doaj   +1 more source

Model Regresi Cox Stratified Pada Data Ketahanan [PDF]

open access: yes, 2016
Stratified Cox model on the events are not identical is a modification of the Cox Proportional Hazard models when there are individuals who experienced more than one incident.
Mustafid, M. (Mustafid)   +2 more
core  

Effect of Cyclooxygenase(COX)-1 and COX-2 inhibition on furosemide-induced renal responses and isoform immunolocalization in the healthy cat kidney [PDF]

open access: yes, 2015
BACKGROUND: The role of cyclooxygenase(COX)-1 and COX-2 in the saluretic and renin-angiotensin responses to loop diuretics in the cat is unknown. We propose in vivo characterisation of isoform roles in a furosemide model by administering non-steroidal ...
A Hayes   +42 more
core   +2 more sources

Properties of Spatial Cox Process Models [PDF]

open access: yesJournal of Statistical Research of Iran, 2005
Probabilistic properties of Cox processes of relevance for statistical modelling and inference are studied. Particularly, we study the most important classes of Cox processes, including log Gaussian Cox processes, shot noise Cox processes, and permanent Cox processes.
openaire   +3 more sources

Tumor clusters with divergent inflammation and human retroelement expression determine the clinical outcome of patients with serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner   +6 more
wiley   +1 more source

A DIA‐MS‐based proteomics approach to find potential serum prognostic biomarkers in glioblastoma patients

open access: yesMolecular Oncology, EarlyView.
A DIA‐MS‐based proteomics analysis of serum samples from GB patients and healthy controls showed that high levels of IL1R2 and low levels of CRTAC1 and HRG in serum are associated with poor survival outcomes for GB patients. These circulating proteins could serve as biomarkers for the prediction of outcome in patients with GB.
Anne Clavreul   +11 more
wiley   +1 more source

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