Results 31 to 40 of about 331,748 (244)

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

Statistical 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

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

Anais 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, Yusuf Demir, Sera Nur Yucesoy, Tumay Ak   +3 more
doaj   +1 more source

Survival analysis of postoperative recurrence of meningioma: 176 cases report

Chinese 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, HAO Shu⁃yu, WANG Liang, ZHANG Li⁃wei, ZHANG Jun⁃ting, WU Zhen   +5 more
doaj   +1 more source

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

Zhongguo 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

A mixed model approach for structured hazard regression [PDF]

, 2004
The classical Cox proportional hazards model is a benchmark approach to analyze continuous survival times in the presence of covariate information. In a number of applications, there is a need to relax one or more of its inherent assumptions, such as ...
Fahrmeir, Ludwig, Kneib, Thomas
core   +4 more sources

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

Informatics 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, Suparee Boonmanunt, Sukanya Siriyotha, Thitiya Lukkunaprasit, Ratchainant Thammasudjarit, Oraluck Pattanaprateep, Hataikarn Nimitphong, Sirimon Reutrakul, John Attia, Gareth McKay, Ammarin Thakkinstian   +10 more
doaj   +1 more source

Proportional hazards models with continuous marks

, 2009
For time-to-event data with finitely many competing risks, the proportional hazards model has been a popular tool for relating the cause-specific outcomes to covariates [Prentice et al. Biometrics 34 (1978) 541--554]. This article studies an extension of
Gilbert, Peter B., McKeague, Ian W., Sun, Yanqing   +2 more
core   +1 more source

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

BMC 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, Salmaan Keshavjee, Irina Gelmanova, Nataliya A. Zemlyanaya, Carole D. Mitnick, Justin Manjourides   +5 more
doaj   +1 more source

Bidirectional association between knee osteoarthritis and depressive symptoms: evidence from a nationwide population-based cohort

BMC Musculoskeletal Disorders, 2022
Background Both knee osteoarthritis (KOA) and depressive symptoms (DS) are major public health issues affecting the quality of life. This study aimed to examine the association between KOA and DS.
Han Lu, Limin Wang, Weijiao Zhou, Shida Jin, Hongbo Chen, Yi Su, Nan Li, Shaomei Shang   +7 more
doaj   +1 more source

Robust Inference for Univariate Proportional Hazards Frailty Regression Models

, 2004
We consider a class of semiparametric regression models which are one-parameter extensions of the Cox [J. Roy. Statist. Soc. Ser. B 34 (1972) 187-220] model for right-censored univariate failure times.
Fine, Jason P., Kosorok, Michael R., Lee, Bee Leng   +2 more
core   +2 more sources