Results 71 to 80 of about 1,729,359 (279)
Economic Aspects of the Missing Data Problem – the Case of the Patient Registry
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2017 Registries are indispensable in medical studies and provide the basis for reliable study results for research questions. Depending on the purpose of use, a high quality of data is a prerequisite.
Hatice Uenal, David Hampel
doaj +1 more source
A probabilistic approach to value sets of polynomials over finite fields [PDF]
, 2014 In this paper we study the distribution of the size of the value set for a random polynomial with degree at most $q-1$ over a finite field $\mathbb{F}_q$.
Gao, Zhicheng, Wang, Qiang
core
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
A new estimator for population total in the presence of missing data under unequal probability sampling without replacement: A case study on fine particulate matter in Northern Thailand [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2023 The issue of fine particulate matter in Thailand, especially in Northern Thailand, is an urgent problem that needs to be solved because of potential harm to human health. Prior estimates of fine particulate matter help planning how to reduce it.
Chugiat Ponkaew, Nuanpan Lawson
doaj
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
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
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 +4 more
wiley +1 more source
A nonparametric multiple imputation approach for missing categorical data
BMC Medical Research Methodology, 2017 Background Incomplete categorical variables with more than two categories are common in public health data. However, most of the existing missing-data methods do not use the information from nonresponse (missingness) probabilities.
Muhan Zhou +3 more
doaj +1 more source
Boosting Prediction with Data Missing Not at Random
Journal of Computational and Graphical StatisticsBoosting 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