PurposeThe purpose of this paper is to conduct a systematic review of published literature studying the health of African immigrants in the USA and to develop a formal set of recommendations for future researchers aiming to improve the health outcomes in this population.Design/methodology/approachA ...
Interpretation is made more difficult given the duality that characterized the regulatory focus of this sample of child protection investigators, with more than half of the sample scoring high on both the prevention and promotion subscales of the WRF scale. Implications for future research and ...
This manuscript is primarily intended to provide recommendations for applied researchers. At the same time, since the recommendations are based on systematic empirical comparative evaluations of statistical methods, it might also be of interest for statisticians and methodologists. Moreover, other ...
Researchers depend on it for conducting robust risk-adjusted analyses, thanks to its consistency and transparency in financial research (see, for example, Hou et al. 2015; Jegadeesh and Titman, 1993; Carhart, 1997). Importantly, for each year of the analysis (2010–2020), data on the ...
We discuss limitations of extant research and identify critical areas for future neuroimaging studies, including the urgent need for studies examining prescription opioid users, assessing sex differences and utilizing a wider range of clinically relevant task-based fMRI paradigms across different stages of...
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It is intended to be of use to researchers, funders, and policymakers as they consider future research on the control of obesity in vulnerable populations. It begins by expanding on the meaning and contributions to be made by multilevel interventions, with particular attention to vulnerable ...
(e.g., smaller sample sizes in psychometric analysis), but only a few researchers recognized and recorded these limitations. We hope that a systematic knowledge of the difficulties usually reported in scale development will help future researchers to recognize their own limitations and especially to ...
When a research study is carried out, we must consider all the variables that may generate errors, considering that human error for appreciation issues will always be present. In addition, we must use statistical knowledge to make predictions for future r...
trust, the clinical implementation of AI systems, and finally, future directions for our field. Model training and evaluation Sample size and systematic overestimation An array of model training and testing schemes exist in ML. The choice of which depends on the size of a dataset and a ...