Results 111 to 120 of about 378,886 (332)
Standard statistical methods and calculation of sample size in Medical education research [PDF]
Perspectives In Medical Research, 2018 After confirmation of any line and area of Research work, the Basic Question starts with Collection of Sample size determination, but before that in a health science research "why statistical methods are so important?" Simple answer is that ...
Dr . Gopinath Agnihotram
doaj
Adapting Image‐Based Models for 1D Data via Spider Plot Transformation and Transfer Learning
Advanced Intelligent Systems, EarlyView.A novel method enables the use of pretrained image‐based neural networks for complex 1D data, including Raman and mid‐infrared spectra, electrocardiograms, and mass spectrometry. 2D spider plots with false‐color fill enable transfer lerning, therefore enhancing data augmentation and model explainability across diverse spectral and time series datasets.
Azadeh Mokari +2 more
wiley +1 more source
American Journal of Industrial Medicine, EarlyView.ABSTRACT Public health registries collect and maintain demographic and health data on a cohort of people with a common disease or exposure. While disease registries have proliferated in recent decades, registries comprising persons with potentially hazardous exposures—known commonly as exposure registries—are rare.
Sammy Almashat +3 more
wiley +1 more source
Growth Standards for Children With Smith–Magenis Syndrome (SMS)
American Journal of Medical Genetics Part A, EarlyView.ABSTRACT Smith–Magenis syndrome (SMS, OMIM 182290) is a complex syndromic diagnosis marked by neurobehavioral differences and distinct facial dysmorphisms, caused by haploinsufficiency of the retinoic acid‐1 (RAI1) gene either by a pathogenic sequence variant or deletion at chromosome 17p11.2 involving a portion or all of this gene.
Julie Hoover‐Fong +10 more
wiley +1 more source
Biostatistics and epidemiology: A primer for health professionals [PDF]
, 1993 David Summer
openalex +1 more source
A primer for biostatistics in R
, 2021 A primer for biostatistics in R is a set of learning materials developed to support you in better developing critical thinking using statistics. Critical thinking very generally is a mode of thinking that is self-directed and evidence based. Statistical thinking is thus an ideal opportunity and partner in honing literacy adventure skills in this domain.
openaire +1 more source
International Forum of Allergy &Rhinology, EarlyView.ABSTRACT Background Chronic rhinosinusitis (CRS) is a heterogeneous inflammatory disease characterized by persistent sinonasal inflammation. There is increasing interest in endotype‐based classification, which categorizes CRS based on underlying inflammatory pathways.
Brooke N. Gleason +16 more
wiley +1 more source
A review of biostatistics: A program for self-instruction [PDF]
, 1992 Kenneth A. Myers
openalex +1 more source
Annals of Neurology, EarlyView.Objectives Multiple sclerosis (MS) onset risk factors include Epstein–Barr virus (EBV) indices (including host response), lower serum 25‐vitamin D (25(OH)D) levels, low sun exposure, and HLA‐DRB1*1501. The underlying molecular mechanisms are unclear. Here, we examined mediation through differential DNA methylation (DNAm) to better understand possible ...
Steve Simpson‐Yap +37 more
wiley +1 more source