Results 61 to 70 of about 318,466 (281)

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +1 more source

Analyses and comparison of imputation-based association methods. [PDF]

PLoS ONE, 2010
Genotype imputation methods have become increasingly popular for recovering untyped genotype data. An important application with imputed genotypes is to test genetic association for diseases.
Yu-Fang Pei, Lei Zhang, Jian Li, Hong-Wen Deng   +3 more
doaj   +1 more source

Patterns of Postictal Abnormalities in Relation to Status Epilepticus in Adults

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Abnormalities on peri‐ictal diffusion‐weighted magnetic resonance imaging (DWI‐PMAs) are well‐established for patients with status epilepticus (SE), but knowledge on patterns of DWI‐PMAs and their prognostic impact is sparse. Methods This systematic review and individual participant data meta‐analysis included observational studies ...
Andrea Enerstad Bolle, Silvana Sarria‐Estrada, Thomas Bonduelle, Bertram Daniel Dynesen, Manuel Toledo, Zhu Chung Che, Kjell Heuser, Anastasios Chatzikonstantinou, Jérôme Aupy, Udaya Seneviratne, Estevo Santamarina Perez, Christoph Patrick Beier   +11 more
wiley   +1 more source

Comparison of Imputation Methods for Handling Missing Categorical Data with Univariate Pattern|| Una comparación de métodos de imputación de variables categóricas con patrón univariado

Revista de Métodos Cuantitativos para la Economía y la Empresa, 2014
This paper examines the sample proportions estimates in the presence of univariate missing categorical data. A database about smoking habits (2011 National Addiction Survey of Mexico) was used to create simulated yet realistic datasets at rates 5% and 15%
Torres Munguía, Juan Armando
doaj  

Fast and accurate imputation of summary statistics enhances evidence of functional enrichment

, 2013
Imputation using external reference panels is a widely used approach for increasing power in GWAS and meta-analysis. Existing HMM-based imputation approaches require individual-level genotypes.
Bhatia, Gaurav, Gusev, Alexander, Hirschhorn, Joel, Pasaniuc, Bogdan, Patterson, Nick, Pickrell, Joseph, Price, Alkes L., Shi, Huwenbo, Strachan, David P, Zaitlen, Noah   +9 more
core   +2 more sources

A multiple-phenotype imputation method for genetic studies [PDF]

Nature Genetics, 2016
Genetic association studies have yielded a wealth of biological discoveries. However, these studies have mostly analyzed one trait and one SNP at a time, thus failing to capture the underlying complexity of the data sets. Joint genotype-phenotype analyses of complex, high-dimensional data sets represent an important way to move beyond simple genome ...
Andrew Dahl, Valentina Iotchkova, Amelie Baud, Åsa Johansson, Ulf Gyllensten, Nicole Soranzo, Richard Mott, Andreas Kranis, Jonathan Marchini   +8 more
openaire   +5 more sources

Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt, Marius Ygonia, Ali Manouchehrinia, Philippe Lefrançois, Ingrid Kockum, Adil Harroud   +5 more
wiley   +1 more source

LD‐informed deep learning for Alzheimer's gene loci detection using WGS data

Alzheimer’s & Dementia: Translational Research & Clinical Interventions
INTRODUCTION The exponential growth of genomic datasets necessitates advanced analytical tools to effectively identify genetic loci from large‐scale high throughput sequencing data.
Taeho Jo, Paula Bice, Kwangsik Nho, Andrew J. Saykin, Alzheimer's Disease Sequencing Project   +4 more
doaj   +1 more source

Integration of survey data and big observational data for finite population inference using mass imputation [PDF]

, 2018
Multiple data sources are becoming increasingly available for statistical analyses in the era of big data. As an important example in finite-population inference, we consider an imputation approach to combining a probability sample with big observational
Kim, Jae Kwang, Kim, Jae Kwang, Yang, Shu   +2 more
core   +3 more sources

An Empirical Comparison of Multiple Imputation Methods for Categorical Data

, 2016
Multiple imputation is a common approach for dealing with missing values in statistical databases. The imputer fills in missing values with draws from predictive models estimated from the observed data, resulting in multiple, completed versions of the ...
Akande, Olanrewaju, Li, Fan, Reiter, Jerome   +2 more
core   +2 more sources