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.

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.

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.

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.

Objective　To analyze the partial correlation problems by multilevel bivariate models.Methods　Multilevel bivariate models.Results　The results of correlation analysis with multilevel bivariate models is same with traditional methods,but the former is more quick and simple.Conclusion　Multilevel bivariate models are effective methods in analyzing the partial correlation problems.

Objective　The conditional hierarchical clustering for 1-dimensional(1-d) ordinal data was discussed.Methods　Because the individuals are ordered in 1-d,the conditional matrix was constructed with all elements in the second-diagonal are 1 and the others are 0.Distance matrix of individuals defined by some particular definition.Then the conditional-distance matrix was made for the hierarchical clustering by connecting the conditional matrix and distance matrix.This method was called 1-dimentsional conditional hierarchical clustering.An example was illustrated by this method and a Monte Carol study showed that method was feasible and robust.Results　Compared with the least-squares partition,this method is easy to understand,easy to practice and easy to compute.It also can give us a stable result.Conclusion　Because of the austere theory,the simple thought and the convenient application,it's a good method for the 1-d ordinal data.

Objective　This paper presents formula for determining the sample size required in case-control study to estimate vaccine efficacy VE with adjusting the precision of confidence interval.Methods　Formula to calculate sample size is derived from the principle of relative width of the confidence interval.Results　Prespecified relative width may regulate and control the precision of confidence interval and may reflects magnitude of the sample size.Conclusion　Sample size calculated by formula will assure that the investigator understand accurately the degree of point estimates of VE close to the true value of VE in the population.

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.

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.

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.