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GREY RELATIONAL ANALYSIS: A NEW STATISTICAL METHOD OF MULTIFACTORIAL ANALYSIS IN MEDICINE 被引量:4
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作者 谭学瑞 邓聚龙 《Journal of Pharmaceutical Analysis》 CAS 1997年第1期59-65,共7页
The concept, fundamental theory, analytical steps and formulae of grey relational analysis (GRA)-a new statistical method or multifactorial analysis in the field of medicine were introduced. GRA of grouping sequence t... The concept, fundamental theory, analytical steps and formulae of grey relational analysis (GRA)-a new statistical method or multifactorial analysis in the field of medicine were introduced. GRA of grouping sequence that is applied to medical study was built by the authors. An example was given to demonstrate it. The superiority of GRA was recounted briefly. 展开更多
关键词 grey relational analysis multifactorial analysis STATISTICS MEDICINE
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MULTIFACTORIAL ANALYSIS OF SURVIVAL IN BREAST CANCER
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作者 黄信孚 薛钟其 +2 位作者 王怡 徐光炜 高非 《Chinese Journal of Cancer Research》 SCIE CAS CSCD 1989年第1期54-57,共4页
A multivariate analysis of 617 female patients with primary breast cancer treated by radical mastectomy between 1974 and 1981 was done. All patients were followed for more than five years. Survival was 76.6% and 64.7%... A multivariate analysis of 617 female patients with primary breast cancer treated by radical mastectomy between 1974 and 1981 was done. All patients were followed for more than five years. Survival was 76.6% and 64.7% at 5 and 10 years, respectively. Eleven clinical and pathological factors were available for study. The data were analysed by Cox's proportional hazards regression model. A final set of five independent significant prognostic factors was obtained. In order of importance they were, clinical stage, age at diagnosis, axillary lymph node status, histologic type and size of the primary tumor. To test the time-varying effect of these factors using Cox's model, all except age reduced their prognostic impact significantly after five years, however, age was a powerful prognostic factor for long-term survival. A prognostic index based on the regression coefficients was constructed. This index can give a better prediction for patients' survival and can be taken as reference when formulating treatment protocols for breast cancer. 展开更多
关键词 multifactorial analysis OF SURVIVAL IN BREAST CANCER THAN
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Prediction of land subsidence caused by groundwater exploitation in Hanoi, Vietnam, using multifactorial correlation analysis 被引量:7
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作者 Thinh Hong Phi Ludmila Aleksandrovna Strokova 《Research in Cold and Arid Regions》 CSCD 2013年第5期644-653,共10页
Multifactorial correlation analysis is a new method used to predict the land subsidence caused by groundwater exploitation This article introduces and applies the method to establish the function of the surface settle... Multifactorial correlation analysis is a new method used to predict the land subsidence caused by groundwater exploitation This article introduces and applies the method to establish the function of the surface settlement rate (Vs) and the function of the time-dependent surface settlement (St) caused by groundwater exploitation, based on data acquired at three land subsidence monitoring stations in the Hanoi area of Vietnam. Comparison with actual monitoring data indicates that the prediction results are relatively close to the monitoring data. From this, we conclude that multifactorial correlation analysis is a reliable method and can be used to predict future land subsidence caused by groundwater exploitation in Hanoi. 展开更多
关键词 land subsidence groundwater exploitation multifactorial correlation analysis surface settlement rate time-dependent settlement
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Use of Selected Types of Crime Analysis in Modern Criminological Science:Experience of Ukraine and the World
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作者 Vasyl Topchii Oksana Topchii +2 位作者 Maksym Zabarniy Nataliіa Karpenko Ihor Hrytsiuk 《Journal of Forensic Science and Medicine》 2023年第1期44-52,共9页
Background:In order to effectively prevent crime,the law enforcement agencies in Ukraine use criminological forecasting,through which it is possible to study and identify the main problems of crime.Aims and Objectives... Background:In order to effectively prevent crime,the law enforcement agencies in Ukraine use criminological forecasting,through which it is possible to study and identify the main problems of crime.Aims and Objectives:The article aims to consider the modern criminological science in Ukraine and the world within the framework of criminological analysis used,determine the advantages and disadvantages of the selected types of criminological analysis,and substantiate the feasibility of investigating latent crimes.Materials and Methods:In the course of the study,the following general scientific and special research methods were used:formal-logical,system,statistical,and synthesis method.Results:The authors conclude by the conducted analytical study that such criminological analyses as regression,factorial,and monitoring are the most widespread at the present stage of criminological science development.These methods of criminological analysis were examined,their advantages and disadvantages were determined,and recommendations for their application in criminological science were given.It was established that the regression analysis is not found in many criminological studies,but the increase in crime rates both in Ukraine and in the world has led to the update in this direction.Conclusion:It has been proved that monitoring is the most frequent type of criminological analysis.This method is often used in criminological research to analyze statistical reporting publicly available to law enforcement agencies.The study has found it is advisable to investigate latent crime in addition to statistical indicators since it is several times higher than the level of officially registered criminal offenses in the country. 展开更多
关键词 Correlation analysis criminological analysis criminological monitoring factor analysis multifactorial analysis
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