Results 61 to 70 of about 583,857 (303)
Don’t Be Fooled by Randomness: Valid p-Values for Single Molecule Microscopy
Frontiers in Bioinformatics, 2022 The human mind shows extraordinary capability at recognizing patterns, while at the same time tending to underestimate the natural scope of random processes. Taken together, this easily misleads researchers in judging whether the observed characteristics
Magdalena C. Schneider +1 more
doaj +1 more source
P values, confidence intervals, or confidence levels for hypotheses?
, 2014 Null hypothesis significance tests and p values are widely used despite very strong arguments against their use in many contexts. Confidence intervals are often recommended as an alternative, but these do not achieve the objective of assessing the ...
Wood, Michael
core +1 more source
Molecular Oncology, EarlyView.Both cg12821679MAPRE3 methylation and MAPRE3 expression are significantly associated with overall survival (OS) of non‐small cell lung cancer. Meanwhile, MAPRE3 expression significantly modified the effect of smoking cessation on OS. Smoking cessation benefits OS merely for patients with high MAPRE3 expression.
Chao Chen +14 more
wiley +1 more source
False-positive and false-negative risks for individual multicentre trials in critical care
BJA Open, 2022 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 ...
David Sidebotham, C. Jake Barlow
doaj +1 more source
What's wrong with Psychology, anyway? [PDF]
, 1991 This chapter considers various factors that have been responsible for the comparatively slow development of psychology into a cumulative empirical science.
Lykken, David T.
core
The Fallacy of the Null Hypothesis Significance Test [PDF]
Psychological Bulletin, 1960 The theory of probability and statistical inference is various things to various people. To the mathematician, it is an intricate formal calculus, to be explored and developed with little professional concern for any empirical significance that might attach to the terms and propositions involved.
openaire +2 more sources
FEBS Open Bio, EarlyView.Tandem VHH targeting distinct EGFR epitopes were engineered into a monovalent bispecific antibody (7D12‐EGA1‐Fc) with more potent ADCC without increasing affinity to EGFR. Structural modeling of 7D12‐EGA1‐Fc showed cross‐linking of separate EGFR domains to enhance CD16a engagement on NK cells.
Yuqiang Xu +5 more
wiley +1 more source
Bayes factors for superiority, non-inferiority, and equivalence designs
BMC Medical Research Methodology, 2019 Background In clinical trials, study designs may focus on assessment of superiority, equivalence, or non-inferiority, of a new medicine or treatment as compared to a control.
Don van Ravenzwaaij +3 more
doaj +1 more source
High impact = high statistical standards? Not necessarily so. [PDF]
, 2013 What are the statistical practices of articles published in journals with a high impact factor? Are there differences compared with articles published in journals with a somewhat lower impact factor that have adopted editorial policies to reduce the ...
A Fritz +21 more
core +4 more sources
, 2017 Since the mid-1950s, there has been a clear predominance of the Frequentist approach to hypothesis testing, both in psychology and in social sciences.
Alonso Ortega, G. Navarrete
semanticscholar +1 more source