Results 151 to 160 of about 30,603,790 (296)

Machine learning analysis plans for randomised controlled trials: detecting treatment effect heterogeneity with strict control of type I error. [PDF]

Trials, 2020
Watson JA, Holmes CC.
europepmc   +1 more source

Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer

Molecular Oncology, EarlyView.
New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau, Daniel Pincher, Clifford Young, Nicholas Chappell, Noor A. Lokman, Parul Mittal, Leigh Donnellan, Martin K. Oehler, Doug A. Brooks, Peter Hoffmann   +9 more
wiley   +1 more source

The mixed model for repeated measures for cluster randomized trials: a simulation study investigating bias and type I error with missing continuous data. [PDF]

Trials, 2020
Bell ML, Rabe BA.
europepmc   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Power gains by using external information in clinical trials are typically not possible when requiring strict type I error control. [PDF]

Biom J, 2020
Kopp-Schneider A, Calderazzo S, Wiesenfarth M.   +2 more
europepmc   +1 more source

Multivariate Data and Type I Error [PDF]

British Journal of Addiction, 1989
S, Lenton, I, Blignault, C, Hopkins, D, Ryder   +3 more
openaire   +2 more sources

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

New frontiers in the p-hacking practices: assessing the effect of data peeking practice on type-I error rate through computational modeling. [PDF]

Front Psychol
Freuli F, Noventa S, Lombardi L.
europepmc   +1 more source

Type I errors and type II errors.

Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke, 2021
openaire   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source