Results 121 to 130 of about 1,100,257 (311)
Robust Estimation via Measurement Error Modeling
We introduce a new method to robustifying inference that can be applied in any situation where a parametric likelihood is available. The key feature is that data from the postulated parametric models are assumed to be measured with error where the ...
Wang, Qiong
core
Quantifying measurement error [PDF]
This is the author's PDF version of an book chapter published in Current and Recent Research in Osteoarchaeology 2 ©1999. The paper was originally delivered at the sixth meeting of the Osteoarchaeological Research Group at the Institute of Archaeology ...
Lewis, Stephen J.
core
Interpreting the effects of DNA polymerase variants at the structural level
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
Deconvolution Estimation in Measurement Error Models: The R Package decon
Data from many scientific areas often come with measurement error. Density or distribution function estimation from contaminated data and nonparametric regression with errors in variables are two important topics in measurement error models.
Bin Wang, Xiao-Feng Wang
core
Measurement error in long-term retrospective recall surveys of earnings
Several recent studies in labour and population economics use retrospective surveys to substitute for the high cost and limited availability of longitudinal survey data.
Gibson, John, Kim, Bonggeun
core
Ixazomib inhibits proteasome‐mediated degradation of topoisomerase I induced by irinotecan, thereby restoring drug sensitivity and promoting tumor cell death in colorectal cancer. Irinotecan, a topoisomerase I (topoI) inhibitor, is widely used for colorectal cancer, but resistance remains a major clinical challenge.
Yuho Ebata +10 more
wiley +1 more source
Accuracy Analysis of Transmission Error Measurement of Precision Reducer
The key parameter that characterizes the transmission accuracy of the precision reducer is the transmission error, but the problem of analyzing the accuracy of the transmission error measurement of the precision reducer for the robot is still blank.
Zhang Yue, Zhang Lintao, Tan Wei
doaj
Model of Indirect Temperature Measurement by Neural Network [PDF]
Determination of temperature inside steel rolls during annealing is key to achieving the best quality of the process. Today it is not typical to measure this temperature and the time of annealing is determined empirically.
Karol Kostúr, Andrea Mojžišová
doaj
Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy +10 more
wiley +1 more source
A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel +12 more
wiley +1 more source

