Results 61 to 70 of about 617,011 (320)

Nonparametric evaluation of quantitative traits in population-based association studies when the genetic model is unknown. [PDF]

PLoS ONE, 2012
Statistical association between a single nucleotide polymorphism (SNP) genotype and a quantitative trait in genome-wide association studies is usually assessed using a linear regression model, or, in the case of non-normally distributed trait values ...
Frank Konietschke, Ondrej Libiger, Ludwig A Hothorn   +2 more
doaj   +1 more source

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

Molecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu, Katherine Eason, Suet‐Feung Chin, Paul A. W. Edwards, Raquel Manzano Garcia, Richard Moulange, Jia Wern Pan, Soo Hwang Teo, Sach Mukherjee, Maurizio Callari, Carlos Caldas, Stephen‐John Sammut, Oscar M. Rueda   +12 more
wiley   +1 more source

Variance Estimation for Logistic Regression in Case-cohort Studies

Journal of Epidemiology
Background: The logistic regression analysis proposed by Schouten et al (Stat Med. 1993;12:1733–1745) has been a standard method in current statistical analysis of case-cohort studies, and it enables effective estimation of risk ratios from selected ...
Hisashi Noma
doaj   +1 more source

Development of 4T1 breast cancer mouse model system for preclinical carbonic anhydrase IX studies

FEBS Open Bio, EarlyView.
Carbonic anhydrase IX (CAIX) is a well‐recognised therapeutic target and prognostic biomarker in cancer. We developed and characterised a robust murine breast cancer model system that is suitable for CAIX studies in vitro and in vivo—it comprises both CAIX‐positive and CAIX‐negative controls and provides a solid platform for the comprehensive ...
Zane Kalniņa, Ilva Liekniņa, Svetlana Koteloviča, Ramona Petrovska, Gediminas Žvinys, Agne Petrosiute, Asta Zubrienė, Matīss Toms Laugalis, Vendija Skeltona, Juris Jansons, Madara Kreishmane, Edita Čapkauskaitė, Daumantas Matulis, Kaspars Tārs   +13 more
wiley   +1 more source

Robust Interval State Estimation for Distribution Systems Considering Pseudo-measurement Interval Prediction

Journal of Modern Power Systems and Clean Energy
Interval state estimation (ISE) can estimate state intervals of power systems according to confidence intervals of predicted pseudo-measurements, thereby analyzing the impact of uncertain pseudo-measurements on states.
Xu Zhang, Wei Yan, Meiqing Huo, Hui Li
doaj   +1 more source

Phenotypic plasticity in a novel set of EGFR tyrosine kinase inhibitor‐adapted non‐small cell lung cancer cell lines

FEBS Open Bio, EarlyView.
Phenotypic plasticity in a newly established set of EGFR inhibitor‐adapted NSCLC cell lines during adaptation and in established cell lines. Here, we introduce novel sublines of the EGFR‐mutant non‐small cell lung cancer (NSCLC) cell lines HCC827 and HCC4006 adapted to the EGFR kinase inhibitors gefitinib (HCC827rGEFI2μm, HCC4006rGEFI1μm), erlotinib ...
Tharsagini V. Nanthaprakash, Campbell W. Gourlay, Ina Oehme, Michelle D. Garrett, Jindrich Cinatl Jr, Mark N. Wass, Martin Michaelis   +6 more
wiley   +1 more source

Globally robust confidence intervals for simple linear regression [PDF]

Computational Statistics & Data Analysis, 2010
It is well known that when the data may contain outliers or other departures from the assumed model, classical inference methods can be seriously affected and yield confidence levels much lower than the nominal ones. This paper proposes robust confidence intervals and tests for the parameters of the simple linear regression model that maintain their ...
Matias Salibian-Barrera, Jorge G. Adrover   +1 more
openaire   +2 more sources

Beyond p‐values: Assessing clinical significance in acupuncture research

Advanced Chinese Medicine, EarlyView.
Abstract In acupuncture randomized controlled trials (RCTs), the proper interpretation of results requires a thorough understanding of key statistical concepts such as p‐value, effect size, and the minimal clinically important difference (MCID). This paper explores the relationships among these metrics and their implications for assessing the clinical ...
Changzhen Gong
wiley   +1 more source

A Robust Root Mean Square Standardized Effect Size in One-Way Fixed-Effects ANOVA [PDF]

, 2011
A robust Root Mean Square Standardized Effect Size (RMSSER) was developed to address the unsatisfactory performance of the Root Mean Square Standardized Effect Size. The coverage performances of the confidence intervals (CI) for RMSSER were investigated.
Algina, James, Zhang, Guili
core   +2 more sources

Coffee Consumption Is Associated With Later Age‐at‐Onset of Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Observation studies suggest that coffee consumption may lower the risk and delay the age‐at‐onset (AAO) of Parkinson's disease (PD). The aim of this study was to explore the causal relationship and genetic association between coffee consumption and the AAO, risk, and progression of PD. Using Mendelian randomization, we identified a significant
Dariia Kuzovenkova, Lang Liu, Ziv Gan‐Or, Konstantin Senkevich   +3 more
wiley   +1 more source