Results 111 to 120 of about 30,603,790 (296)

Alternative Nonparametric Test and Sample Size Procedures for the Comparison of Several Location Shifts

Journal of Statistical Theory and Applications (JSTA)
The Kruskal–Wallis test is widely recommended as a nonparametric counterpart to the ANOVA F procedure for comparing more than two treatments. However, the associated asymptotic chi-square distribution tends to be conservative, especially for small sample
Show-Li Jan, Gwowen Shieh
doaj   +1 more source

USP29‐regulated noncanonical stabilization of the hypoxia‐inducible factor‐α in aggressive prostate cancer

Molecular Oncology, EarlyView.
We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober, Leire Moreno‐Cugnon, Laura Martínez‐Pérez, Amaia Ercilla, Amaia Zabala‐Letona, Adrián Vicente‐Barrueco, Maider Fagoaga‐Eugui, Saioa Garcia‐Longarte, Blanca Calle‐Ciborro, Encarnación Pérez‐Andrés, Onintza Carlevaris, Sara Pozo, Isabel Mendizabal, Ugo Mayor, Arkaitz Carracedo, Violaine Sée, Edurne Berra   +16 more
wiley   +1 more source

Bayesian multivariate probability of success using historical data with type I error rate control. [PDF]

Biostatistics, 2022
Alt EM, Psioda MA, Ibrahim JG.
europepmc   +1 more source

Empirical type I error rates across varying numbers of variants.

, 2016
Empirical type I error rates across varying numbers of variants.
Xinge Jessie Jeng (3161286), Wenbin Lu (313749), Zhongyin John Daye (3161283), Jung-Ying Tzeng (714702)   +3 more
core   +1 more source

Finding novel vulnerabilities of hypomorphic BRCA1 alleles

Molecular Oncology, EarlyView.
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder, Klaas de Lint, Hồ Mỹ Phúc Võ, Mariana M. Góis, Rosalie A. Kampen, Marta San Martin Alonso, Ilse Nootenboom, Veronica Garzero, Tiemen J. Wendel, Rob M. F. Wolthuis, Sylvie M. Noordermeer   +10 more
wiley   +1 more source

Sample size estimation in clinical trial

Perspectives in Clinical Research, 2010
Every clinical trial should be planned. This plan should include the objective of trial, primary and secondary end-point, method of collecting data, sample to be included, sample size with scientific justification, method of handling data, statistical ...
Tushar Vijay Sakpal
doaj  

A permutation procedure to detect heterogeneous treatment effects in randomized clinical trials while controlling the type I error rate. [PDF]

Clin Trials, 2022
Wolf JM, Koopmeiners JS, Vock DM.
europepmc   +1 more source

MITF maintains genome stability in nonmelanocyte lineages

Molecular Oncology, EarlyView.
MITF is essential for melanocyte survival and acts as an oncogene in 10%–20% of melanomas. We show that MITF depletion causes genome instability in nonmelanocytic cells, leading to LATS2‐mediated P53 activation, cell cycle arrest, and apoptosis. This study highlights the role of MITF as a genome maintenance factor beyond the melanocyte lineage. Created
Drifa H. Gudmundsdottir, Adrián López García de Lomana, Thejus B. Venkatesh, Kritika Kirty, Snaevar Sigurdsson, Linda Vidarsdottir, Ramile Dilshat, Erla Sveinbjornsdottir, Snaedis Ragnarsdottir, Daniel H Magnusson, Maria R. Bustos, Eirikur Steingrimsson, Thorkell Gudjonsson, Stefan Sigurdsson   +13 more
wiley   +1 more source

Adjusting for covariates representing potential confounders, mediators, or competing predictors in the presence of measurement error: Dispelling a potential misapprehension and insights for optimal study design with nutritional epidemiology examples [version 2; peer review: 2 approved]

F1000Research
Background Variables such as dietary intake are measured with error yet frequently used in observational epidemiology. Although this limitation is sometimes noted, these variables are still often modeled as covariates without formal correction or sincere
David M. Klurfeld, Nikhil V. Dhurandhar, Xiaoxin Yu, David B. Allison, Carmen D. Tekwe, Diana M. Thomas, Roger S. Zoh, Colby J. Vorland   +7 more
doaj   +1 more source

Is Differential Noneffortful Responding Associated With Type I Error in Measurement Invariance Testing? [PDF]

Educ Psychol Meas, 2021
Rios JA.
europepmc   +1 more source