Results 81 to 90 of about 1,718,863 (277)

Identifying type and determinants of missing items in quality of life questionnaires: Application to the SF-36 French version of the 2003 Decennial Health Survey

Health and Quality of Life Outcomes, 2010
Background Missing items are common in quality of life (QoL) questionnaires and present a challenge for research in this field. The development of sound strategies of replacement and prevention requires accurate knowledge of their type and determinants ...
Coste Joël, Peyre Hugo, Leplège Alain
doaj   +1 more source

AAA+ protein unfoldases—the Moirai of the proteome

FEBS Letters, EarlyView.
AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley   +1 more source

Estimation and inference for multi-kink expectile regression with nonignorable dropout

Statistical Theory and Related Fields
In this paper, we consider parameter estimation, kink points testing and statistical inference for a longitudinal multi-kink expectile regression model with nonignorable dropout.
Dongyu Li, Lei Wang
doaj   +1 more source

Testing Missing at Random Using Instrumental Variables [PDF]

Journal of Business & Economic Statistics, 2017
This paper proposes a test for missing at random (MAR). The MAR assumption is shown to be testable given instrumental variables which are independent of response given potential outcomes. A nonparametric testing procedure based on integrated squared distance is proposed. The statistic's asymptotic distribution under the MAR hypothesis is derived.
openaire   +6 more sources

pH‐mediated activation of the lysosomal arginine sensor SLC38A9

FEBS Letters, EarlyView.
Cells monitor nutrient levels via the lysosomal transporter SLC38A9 to activate the mechanistic target of rapamycin complex 1 (mTORC1). This study reveals that SLC38A9 function is regulated by pH. We identified histidine 544 as a critical pH sensor that undergoes conformational changes to control amino acid efflux from lysosomes; therefore, it ...
Xuelang Mu, Ampon Sae Her, Tamir Gonen
wiley   +1 more source

Boosting Prediction with Data Missing Not at Random

Journal of Computational and Graphical Statistics
Boosting has emerged as a useful machine learning technique over the past three decades, attracting increased attention. Most advancements in this area, however, have primarily focused on numerical implementation procedures, often lacking rigorous theoretical justifications.
Yuan Bian, Grace Y. Yi, Wenqing He
openaire   +2 more sources

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

Methylation data imputation performances under different representations and missingness patterns

BMC Bioinformatics, 2020
Background High-throughput technologies enable the cost-effective collection and analysis of DNA methylation data throughout the human genome. This naturally entails missing values management that can complicate the analysis of the data.
Pietro Di Lena, Claudia Sala, Andrea Prodi, Christine Nardini   +3 more
doaj   +1 more source

An Investigation of Missing Data Methods for Classiffcation Trees [PDF]

, 2006
There are many different missing data methods used by classification tree algorithms, but few studies have been done comparing their appropriateness and performance.
Ding, Yufeng, Simonoff, Jeffrey S.
core  

Score test for missing at random or not

, 2021
Missing data are frequently encountered in various disciplines and can be divided into three categories: missing completely at random (MCAR), missing at random (MAR) and missing not at random (MNAR). Valid statistical approaches to missing data depend crucially on correct identification of the underlying missingness mechanism.
Wang, Hairu, Lu, Zhiping, Liu, Yukun
openaire   +2 more sources