Results 71 to 80 of about 5,820,470 (294)

Asymptotically Unbiased Estimation of Mean and Standard Deviation in the Presence of Outlying Errors

IEEE Access, 2020
In this work, we develop a new method for estimating the mean and standard deviation of normally distributed populations when errors exist in the sample. The proposed estimators are asymptotically unbiased if all errors are outlying errors (i.e.
Ibrahim Nabeel Joudah, Nasir Abbas
doaj   +1 more source

Clustered standard errors in Stata [PDF]

A brief survey of clustered errors, focusing on estimating cluster–robust standard errors: when and why to use the cluster option (nearly always in panel regressions), and implications.
Austin Nichols, Mark E Schaffer
core  

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches [PDF]

In both corporate finance and asset pricing empirical work, researchers are often confronted with panel data. In these data sets, the residuals may be correlated across firms and across time, and OLS standard errors can be biased.
Mitchell A. Petersen
core  

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

Estimating Standard Errors For The Parks Model: Can Jackknifing Help? [PDF]

Non-spherical errors, namely heteroscedasticity, serial correlation and cross-sectional correlation are commonly present within panel data sets. These can cause significant problems for econometric analyses.
W. Robert Reed, Rachel S. Webb
core  

Haploidentical Hematopoietic Cell Transplantation for Infants With X‐Linked Severe Combined Immunodeficiency Using Post‐Transplant Cyclophosphamide

Pediatric Blood &Cancer, EarlyView.
Shuhei Takahashi, Akito Kawachi, Dan Tomomasa, Eri Watanabe, Yuji Fujita, Yuya Sato, Masahiro Sekiguchi, Kentaro Watanabe, Moe Hidaka, Akihiro Hoshino, Takahiro Kamiya, Masatoshi Takagi, Hirokazu Kanegane, Motohiro Kato   +13 more
wiley   +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

Modeling of Experimental Adsorption Isotherm Data

Information, 2015
Adsorption is considered to be one of the most effective technologies widely used in global environmental protection areas. Modeling of experimental adsorption isotherm data is an essential way for predicting the mechanisms of adsorption, which will lead
Xunjun Chen
doaj   +1 more source

On the standard errors of Oaxaca-type decompositions for inter-industry gender wage differentials [PDF]

Horrace and Oaxaca (2001) treat the regressors in gender wage gap by industry measures as non-stochastic when computing the corresponding standard errors.
Eric S. Lin
core