Often many variables have to be analyzed for their importance in terms of significant contribution and predictability in medical research. One of the possible analytical tools may be the Multiple Linear Regression Ana...Often many variables have to be analyzed for their importance in terms of significant contribution and predictability in medical research. One of the possible analytical tools may be the Multiple Linear Regression Analysis. However, research papers usually report both univariate and multivariate regression analyses of the data. The biostatistician sometimes faces practical difficulties while selecting the independent variables for logical inclusion in the multivariate analysis. The selection criteria for inclusion of a variable in the multivariate regression is that the variable at the univariate level should have a regression coefficient with p 〈 0.20. However, there is a chance that an independent variable with p 〉 0.20 at univariate regression may become significant in the multivariate regression analysis and vice versa, provided the above criteria is not strictly adhered to. We undertook both univariate and multivariate linear regression analyses on data from two multi-centric clinical trials. We recommend that there is no need to restrict the p value of 〈= 0.20. Because of high speed computer and availability of statistical software, the desired results could be achieved by considering all relevant independent variables in multivariate regression analysis.展开更多
OBJECTIVE To investigate possible associations between physical function assessment scales,such as Short Physical Performance Battery(SPPB)and Berg Balance Scale(BBS),with all-cause mortality in acute decompensated he...OBJECTIVE To investigate possible associations between physical function assessment scales,such as Short Physical Performance Battery(SPPB)and Berg Balance Scale(BBS),with all-cause mortality in acute decompensated heart failure(ADHF)patients.METHODS A total of 108 ADHF patients were analyzed from October 2020 to October 2022,and followed up to May 2023.The association between baseline clinical characteristics and all-cause mortality was analyzed by univariate Cox regression analysis,while for SPPB and BBS,univariate Cox regression analysis was followed by receiver operating characteristic curves,in which the area under the curve represented their predictive accuracy for all-cause mortality.Incremental predictive values for both physical function assessments were measured by calculating net reclassification index and integrated discrimination improvement scores.Optimal cutoff value for BBS was then identified using restricted cubic spline plots,and survival differences below and above that cut-off were compared using Kaplan-Meier survival curves and the log-rank test.The clinical utility of BBS was measured using decision curve analysis.RESULTS For baseline characteristics,age,female,blood urea nitrogen,as well as statins,angiotensin-converting enzyme inhibitors,angiotensin II receptor blockers,or angiotensin receptor-neprilysin inhibitors,were predictive for all-cause mortality for ADHF patients.With respect to SPPB and BBS,higher scores were associated with lower all-cause mortality rates for both assessments;similar area under the curves were measured for both(0.774 for SPPB and 0.776 for BBS).Furthermore,BBS≤36.5 was associated with significantly higher mortality,which was still applicable even adjusting for confounding factors;BBS was also found to have great clinical utility under decision curve analysis.CONCLUSIONS BBS or SPPB could be used as tools to assess physical function in ageing ADHF patients,as well as prognosticate on all-cause mortality.Moreover,prioritizing the improvement of balance capabilities of ADHF patients in cardiac rehabilitation regimens could aid in lowering mortality risk.展开更多
The purpose of this research was to develop a new approach in determination of overhaul and maintenance cost of loading equipment in surface mining. Two statistical models including univariate exponential regression (...The purpose of this research was to develop a new approach in determination of overhaul and maintenance cost of loading equipment in surface mining. Two statistical models including univariate exponential regression (UER) and multivariate linear regression (MLR) were used in this study. Loading equipment parameters such as bucket capacity, machine weight, engine power, boom length, digging depth, and dumping height were considered as variables. The results obtained by models and mean absolute error rate indicate that these models can be applied as the useful tool in determination of overhaul and maintenance cost of loading equipment. The results of this study can be used by the decision-makers for the specific surface mining operations.展开更多
The prognosis of pancreatic cancer(PC)is difficult to predict1 and is extremely poor.2 Studies showed that cuproptosis was related to PC.The roles are not completely understood.It is considered that lncRNAs are closel...The prognosis of pancreatic cancer(PC)is difficult to predict1 and is extremely poor.2 Studies showed that cuproptosis was related to PC.The roles are not completely understood.It is considered that lncRNAs are closely associated with PC.We explored the relationship of curproptosisrelated lncRNAs(CRLs)with the prognosis of PC patients and their potential role.We determined 19 prognostic CRLs through Pearson correlation analysis and univariate Cox regression analysis from 185 tumor samples.Subsequently,we constructed a predictive prognosis model for PC patients based on four CRLs and utilized the formula to calculate the risk score.展开更多
文摘Often many variables have to be analyzed for their importance in terms of significant contribution and predictability in medical research. One of the possible analytical tools may be the Multiple Linear Regression Analysis. However, research papers usually report both univariate and multivariate regression analyses of the data. The biostatistician sometimes faces practical difficulties while selecting the independent variables for logical inclusion in the multivariate analysis. The selection criteria for inclusion of a variable in the multivariate regression is that the variable at the univariate level should have a regression coefficient with p 〈 0.20. However, there is a chance that an independent variable with p 〉 0.20 at univariate regression may become significant in the multivariate regression analysis and vice versa, provided the above criteria is not strictly adhered to. We undertook both univariate and multivariate linear regression analyses on data from two multi-centric clinical trials. We recommend that there is no need to restrict the p value of 〈= 0.20. Because of high speed computer and availability of statistical software, the desired results could be achieved by considering all relevant independent variables in multivariate regression analysis.
基金supported by the Key Research and Development Special Project of the Autonomous Region(No.2022B03023-3)the Key Supported Discipline of Health System in Shanghai(No.2023ZDFC0302)。
文摘OBJECTIVE To investigate possible associations between physical function assessment scales,such as Short Physical Performance Battery(SPPB)and Berg Balance Scale(BBS),with all-cause mortality in acute decompensated heart failure(ADHF)patients.METHODS A total of 108 ADHF patients were analyzed from October 2020 to October 2022,and followed up to May 2023.The association between baseline clinical characteristics and all-cause mortality was analyzed by univariate Cox regression analysis,while for SPPB and BBS,univariate Cox regression analysis was followed by receiver operating characteristic curves,in which the area under the curve represented their predictive accuracy for all-cause mortality.Incremental predictive values for both physical function assessments were measured by calculating net reclassification index and integrated discrimination improvement scores.Optimal cutoff value for BBS was then identified using restricted cubic spline plots,and survival differences below and above that cut-off were compared using Kaplan-Meier survival curves and the log-rank test.The clinical utility of BBS was measured using decision curve analysis.RESULTS For baseline characteristics,age,female,blood urea nitrogen,as well as statins,angiotensin-converting enzyme inhibitors,angiotensin II receptor blockers,or angiotensin receptor-neprilysin inhibitors,were predictive for all-cause mortality for ADHF patients.With respect to SPPB and BBS,higher scores were associated with lower all-cause mortality rates for both assessments;similar area under the curves were measured for both(0.774 for SPPB and 0.776 for BBS).Furthermore,BBS≤36.5 was associated with significantly higher mortality,which was still applicable even adjusting for confounding factors;BBS was also found to have great clinical utility under decision curve analysis.CONCLUSIONS BBS or SPPB could be used as tools to assess physical function in ageing ADHF patients,as well as prognosticate on all-cause mortality.Moreover,prioritizing the improvement of balance capabilities of ADHF patients in cardiac rehabilitation regimens could aid in lowering mortality risk.
文摘The purpose of this research was to develop a new approach in determination of overhaul and maintenance cost of loading equipment in surface mining. Two statistical models including univariate exponential regression (UER) and multivariate linear regression (MLR) were used in this study. Loading equipment parameters such as bucket capacity, machine weight, engine power, boom length, digging depth, and dumping height were considered as variables. The results obtained by models and mean absolute error rate indicate that these models can be applied as the useful tool in determination of overhaul and maintenance cost of loading equipment. The results of this study can be used by the decision-makers for the specific surface mining operations.
基金funded by the National Natural Science Foundation of China(No.82160405).
文摘The prognosis of pancreatic cancer(PC)is difficult to predict1 and is extremely poor.2 Studies showed that cuproptosis was related to PC.The roles are not completely understood.It is considered that lncRNAs are closely associated with PC.We explored the relationship of curproptosisrelated lncRNAs(CRLs)with the prognosis of PC patients and their potential role.We determined 19 prognostic CRLs through Pearson correlation analysis and univariate Cox regression analysis from 185 tumor samples.Subsequently,we constructed a predictive prognosis model for PC patients based on four CRLs and utilized the formula to calculate the risk score.
