Cargando…
False-positive and false-negative risks for individual multicentre trials in critical care
BACKGROUND: In medical research, null hypothesis significance testing (NHST) is the dominant framework for statistical inference. NHST involves calculating P-values and confidence intervals to quantify the evidence against the null hypothesis of no effect. However, P-values and confidence intervals...
Autores principales: | Sidebotham, David, Barlow, C. Jake |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10430847/ https://www.ncbi.nlm.nih.gov/pubmed/37588693 http://dx.doi.org/10.1016/j.bjao.2022.100003 |
Ejemplares similares
-
Hydrophobicity identifies false positives and false negatives in peptide-MHC binding
por: Solanki, Arnav, et al.
Publicado: (2022) -
Balancing false positives and false negatives for the detection of differential expression in malignancies
por: De Smet, F, et al.
Publicado: (2004) -
High False Positives and False Negatives in Yeast Parameter in an Automated Urine Sediment Analyzer
por: Aydin, Ozgur, et al.
Publicado: (2015) -
False Positive and False Negative FDG-PET Scans in Various Thoracic Diseases
por: Chang, Jung Min, et al.
Publicado: (2006) -
Underlying causes for prevalent false positives and false negatives in STARR-seq data
por: Ni, Pengyu, et al.
Publicado: (2023)