Causal inference prevails in the field of laparoscopic surgery.Once the causality between an intervention and outcome is established,the intervention can be applied to a target population to improve clinical outcomes....Causal inference prevails in the field of laparoscopic surgery.Once the causality between an intervention and outcome is established,the intervention can be applied to a target population to improve clinical outcomes.In many clinical scenarios,interventions are applied longitudinally in response to patients’conditions.Such longitudinal data comprise static variables,such as age,gender,and comorbidities;and dynamic variables,such as the treatment regime,laboratory variables,and vital signs.Some dynamic variables can act as both the confounder and mediator for the effect of an intervention on the outcome;in such cases,simple adjustment with a conventional regression model will bias the effect sizes.To address this,numerous statistical methods are being developed for causal inference;these include,but are not limited to,the structural marginal Cox regression model,dynamic treatment regime,and Cox regression model with time-varying covariates.This technical note provides a gentle introduction to such models and illustrates their use with an example in the field of laparoscopic surgery.展开更多
This paper, based on Deming＇s quality management （QM） theory embodied in ISO 9001, uses structural equation modelling （SEM） in a construction management research. Based on 100 usable responses collected from a na...This paper, based on Deming＇s quality management （QM） theory embodied in ISO 9001, uses structural equation modelling （SEM） in a construction management research. Based on 100 usable responses collected from a nationwide survey carried out from 14th February to 30th May 2008 on all key players in the Malaysian construction value chain, this paper aims to： （a） validate the dimensions of registration efforts to obtain and maintain ISO 9001 certifications; （b） validate the eight QM principles in ISO 9001 for quality management system （QMS） practices; （c） determine the components of organisational improvements experienced as a result of ISO 9001 certifications in terms of company competitiveness, customer satisfaction, and business performance; and （d） investigate the causal relationships among registration efforts, QMS practices, company competitiveness, customer satisfaction, business performance of ISO 9001-certified companies. The knowledge gained from the application of SEM is an important contribution to the body of theoretical literature in QM.展开更多
Aiming at the research that using more new knowledge to develope knowledge system with dynamic accordance, and under the background of using Fuzzy language field and Fuzzy language values structure as description fram...Aiming at the research that using more new knowledge to develope knowledge system with dynamic accordance, and under the background of using Fuzzy language field and Fuzzy language values structure as description framework, the generalized cell Automation that can synthetically process fuzzy indeterminacy and random indeterminacy and generalized inductive logic causal model is brought forward. On this basis, a kind of the new method that can discover causal association rules is provded. According to the causal information of standard sample space and commonly sample space, through constructing its state （abnormality） relation matrix, causal association rules can be gained by using inductive reasoning mechanism. The estimate of this algorithm complexity is given,and its validiw is proved through case.展开更多
基金funding from the National Natural Science Foundation of China(82272180)Open Foundation of Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province(SZZD202206)+2 种基金funding from the Sichuan Medical Association Scientific Research Project(S21019)funding from the Key Research and Development Project of Zhejiang Province(2021C03071)funding from Zhejiang Medical and Health Science and Technology Project(2017ZD001)。
文摘Causal inference prevails in the field of laparoscopic surgery.Once the causality between an intervention and outcome is established,the intervention can be applied to a target population to improve clinical outcomes.In many clinical scenarios,interventions are applied longitudinally in response to patients’conditions.Such longitudinal data comprise static variables,such as age,gender,and comorbidities;and dynamic variables,such as the treatment regime,laboratory variables,and vital signs.Some dynamic variables can act as both the confounder and mediator for the effect of an intervention on the outcome;in such cases,simple adjustment with a conventional regression model will bias the effect sizes.To address this,numerous statistical methods are being developed for causal inference;these include,but are not limited to,the structural marginal Cox regression model,dynamic treatment regime,and Cox regression model with time-varying covariates.This technical note provides a gentle introduction to such models and illustrates their use with an example in the field of laparoscopic surgery.
文摘This paper, based on Deming＇s quality management （QM） theory embodied in ISO 9001, uses structural equation modelling （SEM） in a construction management research. Based on 100 usable responses collected from a nationwide survey carried out from 14th February to 30th May 2008 on all key players in the Malaysian construction value chain, this paper aims to： （a） validate the dimensions of registration efforts to obtain and maintain ISO 9001 certifications; （b） validate the eight QM principles in ISO 9001 for quality management system （QMS） practices; （c） determine the components of organisational improvements experienced as a result of ISO 9001 certifications in terms of company competitiveness, customer satisfaction, and business performance; and （d） investigate the causal relationships among registration efforts, QMS practices, company competitiveness, customer satisfaction, business performance of ISO 9001-certified companies. The knowledge gained from the application of SEM is an important contribution to the body of theoretical literature in QM.
文摘Aiming at the research that using more new knowledge to develope knowledge system with dynamic accordance, and under the background of using Fuzzy language field and Fuzzy language values structure as description framework, the generalized cell Automation that can synthetically process fuzzy indeterminacy and random indeterminacy and generalized inductive logic causal model is brought forward. On this basis, a kind of the new method that can discover causal association rules is provded. According to the causal information of standard sample space and commonly sample space, through constructing its state （abnormality） relation matrix, causal association rules can be gained by using inductive reasoning mechanism. The estimate of this algorithm complexity is given,and its validiw is proved through case.
