Results 61 to 70 of about 30,603,790 (296)

Type I Error Simulation Script

, 2014
R script for simulating data to evaluate Type I error rates of two multivariate phylogenetic comparative method ...
Michael L. Collyer (207252), Dean C. Adams (550653), Adams, Dean C., Collyer, Michael L.   +3 more
core   +1 more source

Empirical type I error rates under consideration of sampling variability.

, 2022
Empirical type I error rates under consideration of sampling variability.
Jannik Feld (11563841), Rene Schmidt (8351136), Andreas Faldum (5482229), Moritz Fabian Danzer (12618814)   +3 more
core   +1 more source

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

FEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace, Alyssa Borges, Charles Arnaud, Tove Karlsson, Nina K. Bröker, Stefanie Barbirz, Marta Bally   +6 more
wiley   +1 more source

Curbing type I and type II errors [PDF]

European Journal of Epidemiology, 2010
The statistical education of scientists emphasizes a flawed approach to data analysis that should have been discarded long ago. This defective method is statistical significance testing. It degrades quantitative findings into a qualitative decision about the data.
openaire   +2 more sources

One-sample T-test for Type I Error.

, 2014
*: P-value
Ying Wu (19057), Kuan-Chieh Huang (657376), Karen L. Mohlke (143380), Wei Sun (93580), Mengjie Chen (483583), Leslie A. Lange (215336), Yun Li (692280)   +6 more
core   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source

Partial depletion of plasminogen activator inhibitor‐1 decreases subcutaneous fat cell hypertrophy and liver cholesterol in high‐fat‐fed female mice

FEBS Letters, EarlyView.
Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante, Robert Sharp, Pradip K. Saha, Elizabeth S. Anaya, Elizabeth L. Lieu, Evelyn L. de Groot, Pooja Patel, Mi Jeong Heo, Aaron R. Cox, Kang Ho Kim, Sean M. Hartig   +10 more
wiley   +1 more source

Control of Type 1 and Type 2 Errors in Configural Frequency Analysis

Journal for Person-Oriented Research
In this article, standard configural frequency analysis (CFA) is compared with combinatorial Victor CFA with respect to Type I errors and power. Victor CFA is most important and suitable when phantom types or phantom antitypes are suspected to exist ...
Stefan von Weber, Alexander von Eye
doaj   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

Data with hierarchical structure: impact of intraclass correlation and sample size on Type-I error

Frontiers in Psychology, 2011
Least squares analyses (e.g., ANOVAs, linear regressions) of hierarchical data leads to Type-I error rates that depart severely from the nominal Type-I error rate assumed. Thus, when least squares methods are used to analyze hierarchical data coming from
Serban C Musca, Rodolphe eKamiejski, Armelle eNugier, Alain eMéot, Abdelatif eEr-rafiy, Markus eBrauer, Markus eBrauer   +6 more
doaj   +1 more source