A dependent covariate in Computer Science refers to a variable that changes over time based on the intervention being studied, and its effect on the model is assessed to ensure the proportional hazards assumption is met. AI generated definition based on:Biostatistics Manual for Health Research,2023...
The actual values taken on by the dependent variable are irrelevant except that larger values are assumed to correspond to "higher" outcomes. A major strength of gologit2 is that it can also estimate two special cases of the generalized model: the proportional odds model and the partial ...
Secondly, the hybrid framework allows for considering the network topology as an independent (discrete) variable that interacts with the (continuous) opinion variable. To the best of our knowledge, previous works simply assume the topology to be a function of the current opinion, thus not allowing...
Although employee motivation has been of great interest for many researchers and business owners over the past decades, it is a complex topic that crosses many disciplinary boundaries, including economics, psychology, organizational development, human resource management, and sociology [20]. A general ...
4 Department of Sociology, Universitat de Barcelona, 08007 Barcelona, Spain * Author to whom correspondence should be addressed. Int. J. Environ. Res. Public Health 2022, 19(4), 2053; https://doi.org/10.3390/ijerph19042053 Submission received: 21 December 2021 / Revised: 9 February 2022 / ...
Power-law functions are widely used to describe complex patterns and scale dependencies across various disciplines, including ecology, sociology, and engineering. For example, they have been applied to study the relationships between forest cover and biodiversity [40], as well as between city size (...