Results 31 to 40 of about 4,955,964 (50)

Generating borderline test samples for randomness testers via intelligent optimization and evolutionary algorithms. [PDF]

Sci Rep
Gao P, Zhang B, Wang Z, Li C.
europepmc   +1 more source

Outliers (typically) cannot cause type I errors in one-sample/paired t-tests. [PDF]

PLoS One
Wisler A.
europepmc   +1 more source

Preliminary diagnosis of eye health via wavefront parameters based on statistical frequency distributions. [PDF]

Eur J Med Res
Yang Y, Chen S, Yue X, Chen H, Yang F, Huang Q.   +5 more
europepmc   +1 more source

The WEAR-BOT checklist: A risk of bias tool for evaluating validity and reliability research in wearable technology. [PDF]

PLoS One
Carrier B, Bunn JA, Eschbach C, Reece JD, Welk GJ, Dolezal BA, Navalta JW.   +6 more
europepmc   +1 more source

Quantitative virus infectivity titration and dose-response analyses using cell-culture based methods and python code-assisted data analysis. [PDF]

iScience
Kyröläinen HM, Mustonen I, Enäkoski J, Hankaniemi MM.   +3 more
europepmc   +1 more source

Pitfalls in analysis and interpretation of single-cell RNA-seq data in cancer. [PDF]

Neurooncol Adv
Tirosh I.
europepmc   +1 more source

Correcting for publication bias in a meta-analysis with the p-uniform* method. [PDF]

Psychon Bull Rev
van Aert RCM, van Assen MALM.
europepmc   +1 more source

Benchmarking of methods to analyse data derived from GBS-MeDIP. [PDF]

BMC Bioinformatics
de Anca Prado V, Pértille F, Sá P, Gòdia M, Rüegg J, Jimenez-Chillaron JC, Guerrero-Bosagna C.   +6 more
europepmc   +1 more source

Using big data to search for possible geographic clustering of Congenital Heart Disease (CHD) across Australia. [PDF]

PLOS Digit Health
Nicholson C, Strange G, Celermajer DS.
europepmc   +1 more source