We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Objective Relational continuity of care is associated with better patient experience and health outcomes. In England, relational continuity of primary care has been declining over a decade, coinciding ...

I've used DHARMa previously and found it very helpful, but I have recently tried to use it on some binomial gam models made with mgcv, and it only seems to work when the models are unweighted. On ...

Abstract: The log-binomial regression model is an essential tool for performing relative risk regression to analyze binary outcomes. The Hotelling T2 Control Chart is an effective multivariate process ...

ABSTRACT: This study investigated the relationship between six self-assessed work personality traits and three self-assessed aspects of economic behaviour: how respondents rate their personal wealth, ...

Abstract: This article examines the use of count data models to predict the number of tourists visiting Thailand’s national parks. The dataset, encompassing observations from 2016 to 2022 across 146 ...

1 School of Economics and Business Administration, Chongqing University, Chongqing, China 2 Gustavson School of Business, University of Victoria, Victoria, BC, Canada Introduction: High-Deductible ...

Parameter to specify control variables and to remove effects of these variables for prediction and calculation of model metrics Control variables are sometimes used in our model builds in addition to ...

ABSTRACT: Count data is almost always over-dispersed where the variance exceeds the mean. Several count data models have been proposed by researchers but the problem of over-dispersion still remains ...