Results 161 to 170 of about 1,049,088 (304)

Health disparities and selection bias in obtaining broad consent in a general practitioner setting. [PDF]

Front Med (Lausanne)
Brütting C, Moser K, Heise M, Bauch F, Frese T.   +4 more
europepmc   +1 more source

Identifying Selection Bias from Observational Data

, 2023
David Kaltenpoth, Jilles Vreeken
openalex   +2 more sources

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

Flawed design and selection bias in critical care randomized controlled trials (RCTs): the patient safety risk of the "RCT mimic". [PDF]

Patient Saf Surg
Lynn LA.
europepmc   +1 more source

Multivariate Analysis of Prokaryotic Amino Acid Usage Bias: A Computational Method for Understanding Protein Building Block Selection in Primitive Organisms

, 2005
Douglas W. Raiford
openalex   +1 more source

Adaptive Developmental Bias is Created By Natural Selection, Types of ‘Devbias’

Independent, retired researcher, Andrzej Gecow   +1 more
openalex   +1 more source

Chronological and Spatial Distribution of Skeletal Muscle Fat Replacement in FHL1‐Related Myopathies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Variants in the FHL1 gene cause FHL1‐related myopathies (FHL1‐RMs), a group of neuromuscular disorders with diverse clinical presentations. This study aimed to comprehensively characterize the spatial and temporal patterns of skeletal muscle fat replacement throughout the whole body in FHL1‐RMs, to examine disease progression over ...
Rui Shimazaki, Satoru Noguchi, Hotake Takizawa, Yasushi Oya, Yuji Takahashi, Hirofumi Komaki, Hajime Arahata, Shinichiro Hayashi, Ichizo Nishino   +8 more
wiley   +1 more source

I2 Statistic as a Test for Selection Bias in Randomised Controlled Trials. [PDF]

Cureus
Mickenautsch S, Yengopal V.
europepmc   +1 more source

Use of Symptomatic Drug Treatment for Fatigue in Multiple Sclerosis and Patterns of Work Loss

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To describe the use of central stimulants and amantadine for fatigue in MS and evaluate a potential association with reduced work loss in people with MS. Methods We conducted a nationwide, matched, register‐based cohort study in Sweden (2006 to 2023) using national registers with prospective data collection.
Simon Englund, Johan Reutfors, Thomas Frisell, Fredrik Piehl   +3 more
wiley   +1 more source

Possible selection bias in register-based obesity studies. [PDF]

Eur J Epidemiol
Carlsson LM, Peltonen M, Jacobson P, Andersson-Assarsson JC, Svensson PA, Taube M, Karlsson C, Ahlin S, Kristensson FM, Perkins R, Arnetorp I, Carlsson A, Admeus L, Langegård E, Carlsson B, Sjöholm K.   +15 more
europepmc   +1 more source