Results 71 to 80 of about 30,603,790 (296)
Graph of type I vs type II error.
, 2013 The solid line indicates the false positive rate (FP, error type I), the dashed line the false negative rate (FN, error type II) and the dotted line represents the sum of false positive and false negative rates at each probability level.
Julio Wainstein (353211) +8 more
core +1 more source
Translophagy—A potential link between autophagy impairment and translational errors
FEBS Letters, EarlyView.Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk +11 more
wiley +1 more source
Auditing standards reform in 2016 and going-concern audits
China Journal of Accounting StudiesThis paper examines the issuance and accuracy of going-concern audit opinions after China’s auditing standards reform in 2016. We find that auditors are more likely to issue a going-concern opinion after the reform and Type II errors (retaining the false)
Yamin Zeng, Baochun Ma
doaj +1 more source
Type I error rate at different sample sizes.
, 2013 a. Average type I error rate across the full set of simulations using mean and covariance matrices of real datasets. b. Type I error rate for each of the simulations based on real datasets.
Axel Meyer (15546) +2 more
core +1 more source
FEBS Letters, EarlyView.Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source
Type I error rate for all tests: continuous trait, .
, 2012 Type I error rate for all tests: continuous trait, .
Yuanjia Wang (46451) +2 more
core +2 more sources
Sample Size Estimation in Clinical Trials
National Journal of Community MedicineSample size estimation remains as a cornerstone in the meticulous planning and execution of clinical trials, pivotal for ensuring studies possess the requisite statistical power to discern meaningful treatment effects.
Divyangkumar Patel
doaj +1 more source
Model comparison for type I error control.
, 2014 Type I error distribution obtained with the naïve, Q6, K and Q6+ K models using 38 SSR loci and phenotypic traits related to Al tolerance. Under the expectation that the randomly distributed SSR loci are not associated with Al tolerance, models that ...
Claudia T. Guimaraes (5657752) +6 more
core +1 more source
Structural and biochemical analysis of a B12 superbinder
FEBS Letters, EarlyView.BtuG proteins are vitamin B12 scavengers in Bacteroides thetaiotaomicron, a dominant human gut bacterium. We present crystal structures of three BtuG homologs bound to cobalamin and its precursor cobinamide, revealing picomolar binding affinities, among the highest known for any natural protein.
Jose M. Martinez Felices +3 more
wiley +1 more source
BMC Genetics, 2006 Background Studies of model-based linkage analysis show that trait or marker model misspecification leads to decreasing power or increasing Type I error rate.
Wilson Alexander F +4 more
doaj +1 more source