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Results of applying Causal Trees and TEHTrees to identify heterogeneity in the effect of the intervention on daily caloric intake using data (with four different covariates) from the Box Lunch Study. (a) and (b) the trees are generated by applying the methods to the original dataset. (c) and (d) The trees are generated by applying the methods to a dataset with rows permuted to remove covariate-outcome associations.
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Treatment effect heterogeneity occurs when individual characteristics influence the effect of a treatment. We propose a novel approach that combines prognostic score matching and conditional inference trees to characterize effect heterogeneity of a randomized binary treatment. One key feature that distinguishes our method from alternative approache...
Citations
... It is negatively correlated with being easily irritated, becoming more callous toward others, and one's job preventing them from spending time with family. Due to the small sample size, six conditional inference decision trees were created to measure responses of survey items [46][47][48][49] . Each decision tree includes the OC items (i.e., C9, C10, C19, C21, C22, and C30) as DVs and the burnout items (i.e., B1 through B18) as IVs. ...
Burnout is a significant concern, particularly within the healthcare field, affecting both nurses and physicians. It is a common issue in health systems, which encompass a range of healthcare facilities, such as hospitals, physician practices, ambulatory sites, and administrative offices like finance. Despite this, there has not been an extensive exploration of burnout in employees working directly with patients versus those in non-patient-facing roles within these health systems. It is important to note that organizational culture plays a crucial role in influencing various aspects of employees' work-life balance and their experiences of burnout. This study adopts a cross-sectional design, involving the distribution of a 57-question Likert scale survey to employees in health systems. These employees serve in various roles, both patient-facing and non-patient-facing, within jointly owned healthcare organizations, which encompass hospitals, ambulatory sites, and administrative offices. The survey was disseminated through trade organizations and employees at the managerial level and above within these health systems. Data was collected between October 2022 and January 2023, resulting in a total of 67 responses. The study employs correlation analysis to explore the connection between organizational culture and burnout. Furthermore, a decision tree model is constructed to predict burnout scores based on survey responses, specifically the question regarding the perceived positivity of the organizational culture. The decision tree models indicate that perceiving organizational culture as positive, safety-oriented, and supportive predicts various outcomes for individuals, including job retention, positive experiences with patients, increased callousness, and stimulation while working with colleagues. Bayesian analysis, considering the small sample size, reinforces these findings and provides a different perspective, incorporating prior knowledge and credible intervals. An association test suggests a strong link between a positive organizational culture and burnout symptoms, while another test supports a connection with engagement signs. Similar to nurses and physicians, administrative health systems’ personnel are susceptible to burnout. Organizational culture can affect burnout. Therefore, health systems’ leaders should cultivate an organizational culture that protects against burnout.
With the continuous improvement of people ‘s living standards, people have put forward higher requirements for the safety and comfort of housing. Therefore, Inherent Defect Insurance, a financial method to guarantee the quality of construction projects, has also emerged. At present, China ‘s Inherent Defect Insurance has been gradually promoted, but its claim mechanism has not been analyzed and studied. From the perspective of construction engineering, this paper first makes a bibliometric analysis of the influencing factors of insurance claims that may be caused by construction engineering quality through VOSViewers, and the evaluation index system of inherent defects is constructed. Then, according to the influencing factors, the PSO-LSSVR model is adopted to fit the performance function of the inherent defects. Finally, based on the reliability design principle of engineering structure, the reliability index and failure probability of Inherent Defect Insurance are derived from the performance function of inherent defects. This paper also analyzes its application in insurance practice and determines the relationship between the number of insurance underwriting policies and the initial reserve of insurance at a certain risk level. This paper studies the probability of Inherent Defect Insurance by constructing the reliability model of inherent defect risks in construction quality, and analyzes the anti-risk ability of insurance companies from the perspective of claim, which provides scientific analysis methods and theoretical basis for the scientific decision-making of insurance companies.
The evidence base supporting the use of most interventions consists primarily of data from randomized controlled trials (RCTs), but how and to whom interventions are delivered in clinical practice may differ substantially from these foundational RCTs. With the increasing availability of electronic health data, it is now feasible to study the "real-world" effectiveness of a wide range of interventions. However, real-world intervention effectiveness studies using electronic health data face many challenges including data quality, selection bias, confounding by indication, and lack of generalizability. In this article, we describe the key barriers to generating high-quality evidence from real-world intervention effectiveness studies and suggest statistical best practices for addressing them.
