Results 141 to 150 of about 2,532,241 (263)

Integration of multiple coinflip devices for high-quality random sampling. [PDF]

Sci Rep
Taylor B, Smith JD, Misra S, Aimone JB, Allemang CR.   +4 more
europepmc   +1 more source

Efficient class of estimators for finite population mean using auxiliary attribute in stratified random sampling. [PDF]

Sci Rep, 2023
Singh HP, Gupta A, Tailor R.
europepmc   +1 more source

Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the feasibility of classical (CH50) and alternative (AH50) complement pathway activity as potential biomarkers for treatment guidance and monitoring during therapy with ravulizumab in patients with generalized myasthenia gravis (gMG) and compare these to therapeutic drug monitoring under eculizumab.
Lea Gerischer, Frauke Stascheit, Maximilian Mönch, Paolo Doksani, Carla Dusemund, Meret Herdick, Philipp Mergenthaler, Maike Stein, Amani Suboh, Jutta Schröder‐Braunstein, Guido Wabnitz, Jan D. Lünemann, Sophie Lehnerer, Sarah Hoffmann, Andreas Meisel   +14 more
wiley   +1 more source

Optimizing clinical scientific research: the cohort intervention random sampling study with historical controls. [PDF]

J Comp Eff Res
de Klerk ND, Berben PB, der Ven MV, Fransen AF, van der Hout-van der Jagt MB, Oei SG, van Laar JO, van den Heuvel ER.   +7 more
europepmc   +1 more source

Evaluating the performance of memory type logarithmic estimators using simple random sampling. [PDF]

PLoS One, 2022
Bhushan S, Kumar A, Alrumayh A, Khogeer HA, Onyango R.   +4 more
europepmc   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Long-term random sampling confirms high-use areas and indicates declining abundance of juvenile smalltooth sawfish (Pristis pectinata) in Charlotte Harbor, Florida. [PDF]

Sci Rep
Farmer NA, Brame AB, Dar R, Wooley AK, Heath LB, Yakich DM, Lombardo SM, Poulakis GR.   +7 more
europepmc   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Log-ratio type estimation for the finite population mean under simple random sampling without replacement with theory, simulation and application. [PDF]

Sci Rep
Shakoor F, Atif M, Ali H, Alshammari AO, Himmat B, Kefi K.   +5 more
europepmc   +1 more source

Random sampling of alters from networks: A promising direction in egocentric network research. [PDF]

Soc Networks, 2023
Peng S, Roth AR, Perry BL.
europepmc   +1 more source