Results 101 to 110 of about 2,780,395 (295)

Investigating and quantifying selection bias in research using placental pathology samples

Pregnancy
Introduction Increasing research interest has focused on placental pathology and pregnancy outcomes. Placental pathology examinations that are requested by the delivering provider are often used for research due to convenience, potentially introducing ...
Renee Odom‐Konja, Alexa Freedman, Erica Price, Lauren Keenan‐Devlin, Gregory E. Miller, Ann E. B. Borders, Linda M. Ernst   +6 more
doaj   +1 more source

Two-step estimation of simultaneous equation panel data models with censored endogenous variables [PDF]

This paper presents some two-step estimators for a wide range of parametric panel data models with censored endogenous variables and sample selection bias.
Vella, F., Verbeek, M.J.C.M.
core   +1 more source

Nuclear pore links Fob1‐dependent rDNA damage relocation to lifespan control

FEBS Open Bio, EarlyView.
Damaged rDNA accumulates at a specific perinuclear interface that couples nucleolar escape with nuclear envelope association. Nuclear pores at this site help inhibit Fob1‐induced rDNA instability. This spatial organization of damage handling supports a functional link between nuclear architecture, rDNA stability, and replicative lifespan in yeast.
Yamato Okada, Mina Iwaki, Kyosuke Hagiri, Rei Izumi, Masahiko Harata, Chihiro Horigome   +5 more
wiley   +1 more source

Accounting for Label Shift of Positive Unlabeled Data under Selection Bias

International Journal of Applied Mathematics and Computer Science
We consider the scenario when two samples of positive unlabeled (PU) data are available and for the second sample the change in prior probability of classes occurs while distributions of predictors in classes remain the same (label shift setting).
Mielniczuk Jan, Wawrzeńczyk Adam
doaj   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Effects of Biases in Geometric and Physics-Based Imaging Attributes on Classification Performance

Journal of Imaging
Learned systems in the domain of visual recognition and cognition impress in part because even though they are trained with datasets many orders of magnitude smaller than the full population of possible images, they exhibit sufficient generalization to ...
Bahman Rouhani, John K. Tsotsos
doaj   +1 more source

The Importance of Self-Selection in Casino Cannibalization of State Lotteries [PDF]

This note extends the work of Elliott and Navin (2002) on the substitutability of commercial casinos and state lotteries by controlling for a potential negative selection bias.
Jonathan Rork, Stephen Fink
core  

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Panel Data Sample Selection Model: an Application to Employee Choice of Health Plan Type and Medical Cost Estimation [PDF]

This paper utilizes a nonparametric panel data sample selection model to correct selection bias in the analysis of longitudinal medical claims data. Selection bias in the health economics data is a common problem and many health economists have used ...
Jeonghoon Ahn
core