A checklist for statistical assessment of medical papers (the CHAMP statement): explanation and elaboration
Misuse of statistics in medical and sports science research is common and may lead to
detrimental consequences to healthcare. Many authors, editors and peer reviewers of …
detrimental consequences to healthcare. Many authors, editors and peer reviewers of …
Assessing differences between simple slopes in simple slopes analysis
SJ Park, Y Yi - Journal of Business Research, 2023 - Elsevier
It is a standard practice to investigate moderation effects with two common analyses:
moderated regression analysis examining interaction effects and simple slopes analysis …
moderated regression analysis examining interaction effects and simple slopes analysis …
[HTML][HTML] Comparative studies in the shoulder literature lack statistical robustness: a fragility analysis
RL Parisien, DP Trofa, PK Cronin, J Dashe… - … , Sports Medicine, and …, 2021 - Elsevier
Purpose Evidenced-based decision-making is rooted in comparative clinical studies;
however, a small number of outcome event reversals have the potential to change study …
however, a small number of outcome event reversals have the potential to change study …
The descriptive analysis of depressive symptoms and White Blood Cell (WBC) count between the sexual minorities and heterosexual identifying individuals in a …
Background Sexual minorities are at a higher risk of suffering from depressive symptoms
compared with heterosexual individuals. Only a few studies have examined the conditions of …
compared with heterosexual individuals. Only a few studies have examined the conditions of …
Rate adaptive pacing in people with chronic heart failure increases peak heart rate but not peak exercise capacity: a systematic review
HI Clark, MJ Pearson, NA Smart - Heart Failure Reviews, 2023 - Springer
Rate adaptive cardiac pacing (RAP) allows increased heart rate (HR) in response to
metabolic demand in people with implantable electronic cardiac devices (IECD). The aim of …
metabolic demand in people with implantable electronic cardiac devices (IECD). The aim of …
Impact of adverse childhood experiences on life expectancy with depression in the UK population: the mitigating role of educational attainment
Y Du, Y Luo, Z Ren, X Zheng, J Liu - Child Abuse & Neglect, 2023 - Elsevier
Abstract Background Adverse childhood experiences (ACEs) are associated with
depression in later life. Objective This study aimed to measure the impact of ACEs on life …
depression in later life. Objective This study aimed to measure the impact of ACEs on life …
Evaluating the impact of a digitally implemented subjective standard on professional rugby union player management decision-making
Using a pre-post-test design, this study evaluated the impact of implementing a standard on
the reliability of player management decision-making within a professional rugby union …
the reliability of player management decision-making within a professional rugby union …
Antibody dependent cell cytotoxicity is maintained by the unmutated common ancestor of 6F5, a Gp41 conformational epitope targeting antibody that utilizes heavy …
BH Wrotniak, M Garrett, S Baron, H Sojar, A Shon… - Vaccine, 2022 - Elsevier
In studies on monoclonal IgG antibodies (mAbs) from long-term non-progressors (LTNPs),
our laboratory has previously described highly mutated Abs against a complex …
our laboratory has previously described highly mutated Abs against a complex …
[HTML][HTML] Second primary malignancies in diffuse large B-cell lymphoma survivors with 40 years of follow up: influence of chemotherapy and radiation therapy
Purpose Previous studies have shown an increased risk of second primary malignancies
(SPMs) in survivors of diffuse large B-cell lymphoma (DLBCL). Survivors live longer due to …
(SPMs) in survivors of diffuse large B-cell lymphoma (DLBCL). Survivors live longer due to …
Using domain adaptation and inductive transfer learning to improve patient outcome prediction in the intensive care unit
MK Mutnuri, HT Stelfox, ND Forkert, J Lee - 2023 - researchsquare.com
Predicting patient outcomes in the intensive care unit (ICU) can allow for more effective and
efficient patient care. Deep learning models are effective in learning from data to accurately …
efficient patient care. Deep learning models are effective in learning from data to accurately …