Results 41 to 50 of about 23,045 (305)

Bayesian Joint Modeling of Multivariate Longitudinal and Survival Data With an Application to Diabetes Study

Frontiers in Big Data, 2022
Joint models of longitudinal and time-to-event data have received a lot of attention in epidemiological and clinical research under a linear mixed-effects model with the normal assumption for a single longitudinal outcome and Cox proportional hazards ...
Yangxin Huang, Jiaqing Chen, Lan Xu, Nian-Sheng Tang   +3 more
doaj   +1 more source

A Multivariate Skew-Normal Mean-Variance Mixture Distribution and Its Application to Environmental Data with Outlying Observations

Journal of Statistical Theory and Applications (JSTA)
The presence of outliers, skewness, kurtosis, and dependency are well-known challenges while fitting distributions to many data sets. Developing multivariate distributions that can properly accomodate all these aspects has been the aim of several ...
M. Tamandi, N. Balakrishnan, A. Jamalizadeh, M. Amiri   +3 more
doaj   +1 more source

Definição do tamanho amostral usando simulação Monte Carlo para o teste de normalidade baseado em assimetria e curtose. II.: abordagem multivariada Sample size definition using Monte Carlo simulation for the normality test based on skewness and kurtosis. II.: multivariate approach

Ciência e Agrotecnologia, 2003
Realizou-se este trabalho com o objetivo de determinar um tamanho amostral ótimo para as estatísticas univariadas de assimetria e curtose (z1 e z2) que, neste caso, foram adaptadas para o caso multivariado, e as estatísticas multivariadas de assimetria e
Andréa Cristiane dos Santos, Daniel Furtado Ferreira   +1 more
doaj   +1 more source

Histogram analysis of dynamic contrast-enhanced magnetic resonance imaging in the differential diagnosis of parotid tumors

BMC Medical Imaging, 2021
Objective Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) histograms were used to investigate whether their parameters can distinguish between benign and malignant parotid gland tumors and further differentiate tumor subgroups.
Shiyu Xiang, Jiliang Ren, Zhipeng Xia, Ying Yuan, Xiaofeng Tao   +4 more
doaj   +1 more source

Quantitative CT variables enabling response prediction in neoadjuvant therapy with EGFR-TKIs: are they different from those in neoadjuvant concurrent chemoradiotherapy?

PLoS ONE, 2014
Background and purposeTo correlate changes of various CT parameters after the neoadjuvant treatment in patients with lung adenocarcinoma with pathologic responses, focused on their relationship with different therapeutic options, particularly of EGFR-TKI
Yousun Chong, Jae-Hun Kim, Ho Yun Lee, Yong Chan Ahn, Kyung Soo Lee, Myung-Ju Ahn, Jhingook Kim, Young Mog Shim, Joungho Han, Yoon-La Choi   +9 more
doaj   +1 more source

Perceived Impacts and Predictors of Cannabis Products Used by Patients with Rheumatologic Conditions in Alberta, Canada: A Multivariable Analysis of Cross‐Sectional Survey Data

Arthritis Care &Research, EarlyView.
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang, Samuel A.J. Lowe, Frank Sun, Allyson Jones, Tarek Turk, Joanne Olson, Pauline Paul, Shelby Yamamoto, Linda Kolewaski, Elaine Yacyshyn, Cheryl A. Sadowski   +10 more
wiley   +1 more source

Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome

Advanced Science, EarlyView.
We introduce Wiredancer, a framework that identifies three continuous ecological factors of the gut microbiota. These factors exhibit distinct patterns across health and disease, jointly capturing disrupted ecological stability and offering a new perspective for precision diagnostics and therapeutic strategies.
Baoyuan Zhu, Shuhao Chen, Yunheng Diao, Wei Wang, Yuanyuan Huang, Liqin Liang, Xiaodan Lu, Rui Han, Minxin Guo, Zhaobo Li, Shuhong Wang, Hehua Li, Chenyu Liu, Jing Zhou, Dongsheng Xiong, Xiaobo Li, Yuping Ning, Xuetao Shi, Fengchun Wu, Kai Wu   +19 more
wiley   +1 more source

A Bayesian Approach for Joint Modeling of Skew-Normal Longitudinal Measurements and Time to Event Data

Revstat Statistical Journal, 2015
Joint modeling of longitudinal measurements and survival time has an important role in analyzing medical data sets. For example, in HIV data sets, a biological marker such as CD4 count measurements is considered as a predictor of survival.
Taban Baghfalaki , Mojtaba Ganjali
doaj   +1 more source

Disruption of Treg Homeostasis in Rheumatoid Arthritis via Ferroptosis‐Mediated ETC Collapse and TXK‐STAT3/PLCγ1 Activation

Advanced Science, EarlyView.
In rheumatoid arthritis, synovial Tregs accumulate but are functionally impaired due to iron overload‐induced ferroptosis. This triggers mitochondrial dysfunction and TXK tyrosine kinase‐mediated signaling, leading to Treg destabilization and inflammation.
Jingrong Chen, Xiao Guan, Kexu Xiong, Xiaoyi Shi, Luyao Wu, Chuanxin Su, Jun Zhao, Rongzhen Liang, Huimin Wang, Junlong Dang, Ye Chen, Yiding Xiong, Chi Zhou, Futao Zhao, Zhenhang Zhu, Xiaoli Fan, Li Zhou, Nancy Olsen, Yutong Jiang, Song Guo Zheng   +19 more
wiley   +1 more source

Treatment of Multivariate Outliers in Incomplete Business Survey Data

Austrian Journal of Statistics, 2016
The distribution of multivariate quantitative survey data usually is not normal. Skewed and semi-continuous distributions occur often. In addition, missing values and non-response is common.
Marc Bill, Beat Hulliger
doaj   +1 more source