Association between daily alcohol intake and risk of all-cause mortality: a systematic review and meta-analyses

J Zhao, T Stockwell, T Naimi, S Churchill… - JAMA network …, 2023 - jamanetwork.com
Importance A previous meta-analysis of the association between alcohol use and all-cause
mortality found no statistically significant reductions in mortality risk at low levels of …

Texture analysis of imaging: what radiologists need to know

BA Varghese, SY Cen, DH Hwang… - American Journal of …, 2019 - Am Roentgen Ray Soc
OBJECTIVE. Radiologic texture is the variation in image intensities within an image and is
an important part of radiomics. The objective of this article is to discuss some parameters …

Calculating the sample size required for developing a clinical prediction model

RD Riley, J Ensor, KIE Snell, FE Harrell, GP Martin… - Bmj, 2020 - bmj.com
Clinical prediction models aim to predict outcomes in individuals, to inform diagnosis or
prognosis in healthcare. Hundreds of prediction models are published in the medical …

Big data for creating and capturing value in the digitalized environment: unpacking the effects of volume, variety, and veracity on firm performance

F Cappa, R Oriani, E Peruffo… - Journal of Product …, 2021 - Wiley Online Library
Despite significant academic and managerial interest in big data, there is a dearth of
research on how big data impacts the long‐term firm performance. Reasons for this gap …

Linear regression and the normality assumption

AF Schmidt, C Finan - Journal of clinical epidemiology, 2018 - Elsevier
Objectives Researchers often perform arbitrary outcome transformations to fulfill the
normality assumption of a linear regression model. This commentary explains and illustrates …

Are you good enough? CSR, quality management and corporate financial performance in the hospitality industry

S Franco, MG Caroli, F Cappa… - International Journal of …, 2020 - Elsevier
Hospitality firms are increasingly investing in corporate social responsibility (CSR) to
generate strong relationships with stakeholders while aiming to benefit their own …

A calibration hierarchy for risk models was defined: from utopia to empirical data

B Van Calster, D Nieboer, Y Vergouwe… - Journal of clinical …, 2016 - Elsevier
Objective Calibrated risk models are vital for valid decision support. We define four levels of
calibration and describe implications for model development and external validation of …

Task errors by emergency physicians are associated with interruptions, multitasking, fatigue and working memory capacity: a prospective, direct observation study

JI Westbrook, MZ Raban, SR Walter… - BMJ quality & …, 2018 - qualitysafety.bmj.com
Background Interruptions and multitasking have been demonstrated in experimental studies
to reduce individuals' task performance. These behaviours are frequently used by clinicians …

Minimum sample size for developing a multivariable prediction model: Part I–Continuous outcomes

RD Riley, KIE Snell, J Ensor, DL Burke… - Statistics in …, 2019 - Wiley Online Library
In the medical literature, hundreds of prediction models are being developed to predict
health outcomes in individuals. For continuous outcomes, typically a linear regression model …

[图书][B] Designing experiments and analyzing data: A model comparison perspective

SE Maxwell, HD Delaney, K Kelley - 2017 - taylorfrancis.com
Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition)
offers an integrative conceptual framework for understanding experimental design and data …