Results 21 to 30 of about 523,434 (195)

Multivariate Mixed Response Model with Pairwise Composite-Likelihood Method

Stats, 2020
In clinical research, study outcomes usually consist of various patients’ information corresponding to the treatment. To have a better understanding of the effects of different treatments, one often needs to analyze multiple clinical outcomes ...
Hao Bai, Yuan Zhong, Xin Gao, Wei Xu
doaj   +1 more source

Previous surgery for instability is a risk factor for a worse patient-reported outcome after anatomical shoulder arthroplasty for osteoarthritis: a Danish nationwide cohort study of 3,743 arthroplasties

Acta Orthopaedica, 2022
Background and purpose: Although most patients have good outcomes after shoulder arthroplasty for osteoarthritis, certain risk factors may lead to disappointing outcomes.
Jeppe V Rasmussen, Bo S Olsen
doaj   +1 more source

High homocysteine and blood pressure related to poor outcome of acute ischemia stroke in Chinese population. [PDF]

PLoS ONE, 2014
To assess the association between plasma homocysteine (Hcy), blood pressure (BP) and poor outcome at hospital discharge among acute ischemic stroke patients, and if high Hcy increases the risk of poor outcome based on high BP status in a northern Chinese
Chongke Zhong, Liying Lv, Changjiang Liu, Liang Zhao, Mo Zhou, Wenjie Sun, Tan Xu, Weijun Tong   +7 more
doaj   +1 more source

Beyond the single-outcome approach: A comparison of outcome-wide analysis methods for exposome research

Environment International, 2023
Outcome-wide analysis can offer several benefits, including increased power to detect weak signals and the ability to identify exposures with multiple effects on health, which may be good targets for preventive measures.
Augusto Anguita-Ruiz, Ines Amine, Nikos Stratakis, Lea Maitre, Jordi Julvez, Jose Urquiza, Chongliang Luo, Mark Nieuwenhuijsen, Cathrine Thomsen, Regina Grazuleviciene, Barbara Heude, Rosemary McEachan, Marina Vafeiadi, Leda Chatzi, John Wright, Tiffany C. Yang, Rémy Slama, Valérie Siroux, Martine Vrijheid, Xavier Basagaña   +19 more
doaj   +1 more source

Post-vitrectomy secondary macular holes: Risk factors, clinical features, and multivariate analysis of outcome predictors

Indian Journal of Ophthalmology, 2023
Purpose: We report clinical characteristics, risk factors, treatment outcomes, and prognostic predictors of post-vitrectomy secondary macular holes (MHs).
Mukesh Jain, Raja Narayanan, Lingam Gopal, Tapas R Padhi, Umesh C Behera, Krushna G Panda, Runa Tabasum, Nadeem K Banjare   +7 more
doaj   +1 more source

Advantages of joint modeling of component HIV risk behaviors and non-response: application to randomized trials in cocaine-dependent and methamphetamine-dependent populations

Frontiers in Psychiatry, 2011
The HIV risk-taking behavior scale (HRBS) is an 11-item instrument designed to assess the risks of HIV infection due self-reported injection drug use and sexual behavior.
Tyson H Holmes, Ann L Anderson, Shou-Hua eLi, Ahmed M Elkashef   +3 more
doaj   +1 more source

Multivariate multilevel modeling of quality of life dynamics of HIV infected patients

Health and Quality of Life Outcomes, 2020
Background Longitudinal quality of life (QoL) is an important outcome in many chronic illness studies aiming to evaluate the efficiency of care both at the patient and health system level.
Zelalem G. Dessie, Temesgen Zewotir, Henry Mwambi, Delia North   +3 more
doaj   +1 more source

Density ratio model for multivariate outcomes

Journal of Multivariate Analysis, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Scott Marchese, Guoqing Diao
openaire   +2 more sources

Variable selection for high dimensional multivariate outcomes [PDF]

Statistica Sinica, 2014
We consider variable selection for high-dimensional multivariate regression using penalized likelihoods when the number of outcomes and the number of covariates might be large. To account for within-subject correlation, we consider variable selection when a working precision matrix is used and when the precision matrix is jointly estimated using a two ...
Tamar, Sofer, Lee, Dicker, Xihong, Lin
openaire   +2 more sources

Multivariate Analysis and Machine Learning in Cerebral Palsy Research

Frontiers in Neurology, 2017
Cerebral palsy (CP), a common pediatric movement disorder, causes the most severe physical disability in children. Early diagnosis in high-risk infants is critical for early intervention and possible early recovery. In recent years, multivariate analytic
Jing Zhang
doaj   +1 more source