Results 21 to 30 of about 191,557 (214)

Violations of proportional hazard assumption in Cox regression model of transcriptomic data in TCGA pan-cancer cohorts

open access: yesComputational and Structural Biotechnology Journal, 2022
Background: Cox proportional hazard regression (CPH) model relies on the proportional hazard (PH) assumption: the hazard of variables is independent of time. CPH has been widely used to identify prognostic markers of the transcriptome.
Zihang Zeng   +7 more
doaj   +1 more source

Survival analysis of irish amyotrophic lateral sclerosis patients diagnosed from 1995-2010. [PDF]

open access: yesPLoS ONE, 2013
IntroductionThe Irish ALS register is a valuable resource for examining survival factors in Irish ALS patients. Cox regression has become the default tool for survival analysis, but recently new classes of flexible parametric survival analysis tools ...
James Rooney   +7 more
doaj   +1 more source

The Prediction Value of (Neutrophil+Monocyte) /Lymphocyte Ratio on In-hospital Mortality of Heart Failure Patients [PDF]

open access: yesZhongguo quanke yixue, 2023
Background Heart failure (HF) is known to be one of the major problems in the cardiovascular field needed to be urgently addressed due to its high incidence, high mortality and poor prognosis. Searching for the optimal risk assessment method is currently
MA Yanyan, REN Fuxian, WANG Yu, GAO Dengfeng
doaj   +1 more source

Moving beyond the Cox proportional hazards model in survival data analysis: a cervical cancer study

open access: yesBMJ Open, 2020
Objectives This study explored the prognostic factors and developed a prediction model for Chinese-American (CA) cervical cancer (CC) patients. We compared two alternative models (the restricted mean survival time (RMST) model and the proportional ...
Lixian Li   +3 more
doaj   +1 more source

Impact of delayed treatment in women diagnosed with breast cancer: A population‐based study

open access: yesCancer Medicine, 2020
The impact of timely treatment on breast cancer‐specific survival may differ by tumor stage. We aim to study the impact of delayed first treatment on overall survival across different tumor stages.
Peh Joo Ho   +5 more
doaj   +1 more source

Predictors of PASI90 response in patients with psoriasis treated with ınterleukin ınhibitors: observational cohort study [PDF]

open access: yesAnais Brasileiros de Dermatologia
Background: Psoriasis is a chronic multisystem disorder, and the inhibition of different cytokine pathways has been associated with different treatment responses.
Burhan Engin   +3 more
doaj   +1 more source

Locally R-optimal designs for a class of nonlinear multiple regression models

open access: yesStatistical Theory and Related Fields, 2023
This paper concerns with optimal designs for a wide class of nonlinear models with information driven by the linear predictor. The aim of this study is to generate an R-optimal design which minimizes the product of the main diagonal entries of the ...
Lei He, Rong-Xian Yue
doaj   +1 more source

Survival analysis of postoperative recurrence of meningioma: 176 cases report

open access: yesChinese Journal of Contemporary Neurology and Neurosurgery, 2022
Objective To investigate the influencing factors of postoperative meningioma recurrence. Methods A total of 176 patients with meningioma treated in Beijing Tiantan Hospital, Capital Medical University from May 2010 to January 2011 were included.
HUANG Guan⁃you   +5 more
doaj   +1 more source

Use of predicted vital status to improve survival analysis of multidrug-resistant tuberculosis cohorts

open access: yesBMC Medical Research Methodology, 2018
Background Multidrug-resistant tuberculosis (MDR-TB) cohorts often lack long-term survival data, and are summarized instead by initial treatment outcomes.
Meredith B. Brooks   +5 more
doaj   +1 more source

Retinopathy prediction in type 2 diabetes: Time-varying Cox proportional hazards and machine learning models

open access: yesInformatics in Medicine Unlocked, 2023
Background: Diabetic retinopathy (DR) is one of the most common complications in type 2 diabetes (T2D) with an estimated prevalence of 22%. Predictive modelling has largely been dependent on Cox proportional hazards (CPH) with assumptions of linearity ...
Panu Looareesuwan   +10 more
doaj   +1 more source

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