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Modelling Method of Combination Forecast Model Based on Data Mining

Chinese Journal of Health Statistics.2009;(5):470-472. doi:10.3969/j.issn.1002-3674.2009.05.006

Objective Research on variable substitution to non-linear regression forecast model precision's influence, and seek the modelling method that can improve the forecast precision. Methods Based on the data mining,the transform in space and the weighted processing combined method, make full use of information that the primary data provide. Results Given modelling method of combination forecast model based on the data mining. Conclusion Based on data mining's combination forecast model's modelling method can reduce the serious influence that the variable substitution brings and has fully used useful information in the primary data. It obviously improved the accuracy of the prediction model.

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Comparative Evaluation of Gene-set Analysis Methods

Wenjun CAO ; Yunming LI ; Changsheng CHEN

Chinese Journal of Health Statistics.2009;(5):462-465. doi:10.3969/j.issn.1002-3674.2009.05.004

Objective To compare the efficiency of χ~2-Fisher's exact test which is one of the competitive null hypothesis approaches with SAM-GS which belongs toself-contained null hypothesis approaches. Methods The two methods were used to analyze a simulation experiment which contained five different scenarios. The results were compared with the simulated initialization,and assessing indexes were calculated to compare the efficiency. Results Under the same conditions,SAM-GS always have higher power than that of χ~2-fisher's exact test. However, the final inference is equivalent, namely if the difference between the two groups are smaller than 0.30,the two methods can not be better to identify differences between them. By contrary, when the differences between the two phenotypes are larger than 0.30, the two ways can both identify differences. Conclusion SAM-GS tends to have slightly higher power thanχ~2-Fisher' s exact test. The two methods can be used for screening enrichment gene sets of gene expression profile.χ~2-Fisher's exact test has the important advantage of being able to analyze multi-class phenotype.

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Application of Multilevel Growth Model in Community Intervention Research

Junling GAO ; Hua FU

Chinese Journal of Health Statistics.2009;(5):459-461. doi:10.3969/j.issn.1002-3674.2009.05.003

Objective To explore the application of multilevel growth model in community intervention research. Methods The data a-bout blood pressure collected through questionnaire at baseline and 6 months, 12 months after intervention were analysed through multilevel growth model to evaluate the effectiveness of hypertension self-management. Results The blood pressures between the two groups were statistical significance at baseline,and the changing trends also were different. Age could affect diastolic blood pressure (DBP) changing after controlling the other factors. Conclusion Multilevel growth model can analyze the longitudinal data acquired from intervention research flexibly,and the result is more reliable.

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Conditional Logistic Regression Analysis on Risk Factors of Colorectal Cancer

Xiaohong GAO ; Qingyu AN ; Xiaofeng LI

Chinese Journal of Health Statistics.2009;(6):605-607. doi:10.3969/j.issn.1002-3674.2009.06.013

Objective To investigate the risk factors of color-ectal cancer and to provide scientific basis for prevention of colorectai canc-er. Methods A 1:1 matched case-control study was carried out in Dalian including 200 cases with colorectal cancer and 200 controls. We analyzedthe data with the univariate analysis and mutivariate conditional logistic re-gressiou,theu calculated the Odds Ratio and the 95% confidence. Results Conditional logistic regression showed that history of constipation, family history of other tumor,intake much bloat food ten yeats ago and easily an-gry were the risk factors of colorectal cancer, and intake much fresh vegeta-bles ten years ago was the protective factors of colorectal cancer. One way analysis showed that following factors were the risk factors of coloroctal cancer:there were pollution factor around home 10 years ago, belly CT test,sleep over twelve o'clock at night,family history of coloroctal cancer, history of pries, appendicitis and the operation history of appendicitis, intake much fry and bake food,seashell and animal liver before ten years ago,of-ten feel strew, don't like to communicate with others,pessimism,don't harmonization with colleague. And iutaking much chicken meat, bean prod-ucts,garlic ten years ago,doing exercise and the frequency of exercise,high income were the protective factors of colorectal cancer. Conclusion Coloroctal cancer was the result of many factors. But the incidence of that in Dalian city was related to history of constipation, family history of other tumor, easily angry, intake less fresh vegetables and intake much bloat food ten years ago.

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Mixed Model in the Hierarchical Classification Datas and Implementation of SAS

Qinghai GONG ; Xiaohong ZHANG ; Chenwei XU

Chinese Journal of Health Statistics.2009;(6):577-579. doi:10.3969/j.issn.1002-3674.2009.06.005

Objective To investigate the mixed model in bier-archical classification datas and implementing with mixed model in SAS. Methods Hierarchical classification datas exemplify the mixed model u-sing procedure mixed,and compared with traditional general linear model. Results The example shows the same result between the SAS mixed model and the general linear model. Conclusion SAS MIXED can flexi-bly fit and analysis hieraxchical classification datas.

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Application of Structural Equation Model in the Study of Therapeutic Effect of Chinese Medicine

Shu YANG ; Qiang ZHANG ; Yun YE

Chinese Journal of Health Statistics.2009;(6):565-568. doi:10.3969/j.issn.1002-3674.2009.06.002

Objective The questionaires of the ONFH aegers who were hospitalized in Kanggu hospital,during 2005-2008 ,were collect-ed to evaluate the therapeutic effects of acupotomy by proper statistical methods. Methods Four indexes according to the criteria of Therapeutic effect of adult ONFH recovery and reconstruction (ZHAO Dewei, 1996) were measured to evaluate the effect of the treatment. Results Monofac-torial analysis showed that the treatrnent was effective,but some phenomena could not be correctly explined in specialized field. This problem was re-solved appropriately by structural equation model(SEM). Conclusion By the method of SEM, the confounding factors could be better controlled and the evaluation was more reliable.

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Application of Partial Least Square Regression Model in the Study of Personality Characteristics of the Scientific Personnel

Yuanyuan WANG ; Jingwu CHEN

Chinese Journal of Health Statistics.2010;(1):21-24. doi:10.3969/j.issn.1002-3674.2010.01.006

Objective To explore the application of partial least square regression model in the study of personality characteristics of the scientific personne1,to supply more reliable and scientific rationale to the training and intelligent use of scientific personne1 in colleges.Methods We took our survey by 114 scientific personnel from eight universities with NEO-PI-R(Revised NEO Personality Inventory).After the process of simplifying the NEO-PI-R,we need partial least square regression model to analyze.Results The results of the PLS analysis indicates the goodness-of-fit of the model was good,which opened out clearly and intuitively the connection between the items and five personality characteristics,the model could be used as theory reference for personnel department,research department and education department to consummate the training of scientific personne1 in colleges.Conclusion Partial least square regression model could be used to study personality characteristics of the scientific personne1 in colleges as statistic method appearing recently.

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An Empirical Research on Hospital Informatization Level in China

Fangdong DU ; Zhenqiu SUN ; Keqin RAO

Chinese Journal of Health Statistics.2010;(1):35-39. doi:10.3969/j.issn.1002-3674.2010.01.010

Objective Constructing a hospital informatization level evaluation model and carry out an empirical research.Methods Based on experts' suggestions and comprehensive scoring method,a evaluation model of hospital informatization level has been formed,and 1,221 Chinese hospitals have been selected randomly in this empirical research.Results The evaluation model and rating scale is reliable,valid and sensitive,and it can be used to evaluate hospital informatization level at larger scope.The difference of informtization level between hospitals in different areas,different type is evident and the development situation in hospitals is imblalace also.Conclusion The hospilal should emphasis on the informatization,and improve the application of information technology.

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Effect of Coping Style and Social Adjustment on Mental Health of Undergraduates

Qiaoyu JIANG ; Nengfeng XU ; Jianping CAO

Chinese Journal of Health Statistics.2010;(1):25-27. doi:10.3969/j.issn.1002-3674.2010.01.007

Objective To explore the effect of coping style and social adjustment on mental health of undergraduates.Methods A large sample investigation was operated on undergraduates in Fuzhou.Linear correlation and regression analysis and structural equation analysis were used in explosing of the effect of coping style and social adjustment on mental health of undergraduates.Results A 38.9% variance of meatal health could be explained by active and negative coping style,objective and subjective social adjustment.Active and negative coping style demonstrated respectively 59.3%,46.7% indirect effect of total effect through social adjustment on mental health.Conclusion To advocate active coping style and improve college social adjusment were good for the promotion of mental health.

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Checking to the Proportional Hazards Assumption of the Cox′s Proportional Hazards Model.

Chuandong MA ; Wei DONG

Chinese Journal of Health Statistics.2001;(1):15-16. doi:10.3969/j.issn.1002-3674.2001.01.005

Objective　Exploring how to check the proportional hazards assumption of the Cox model,and the solutions to non-proportional hazards between the covariates and the hazard function.Methods　With a example data set of Ⅲc stage ovarian serous cystadenocarcina,illustrating how to use graphical methods to check the proportional hazards assumption of the Cox model.Results　the predictor of post-surgery administering medicine times violated the proportional hazards assumption of the Cox model.Conclusion　when using the Cox model to analyze the predictors of survival time,checking whether the predictors violate the proportional hazards assumption of the Cox model or not should be paid attention to.

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