Results The influence factors entered the regression equation were ways of detoxification for drug abusers, marital status, mode of drug abuse, frequency of detoxification, maternal educational level, maternal occupation, family atmosphere and help and encourage from their relatives and friends, with their hazard ratios of 0.673, 1.315, 1.319, 0.867, 1.120, 1.318, 0.724 and 1.150, respectively.

The partial regression square and test results were F=40.172, P =0.000, finally the factors of age, male, with emptysis or not and emptysis quantity entered the regression equation.

The result of condition logistic analysis showed that the factors which finally entered the regression equation were old age,dislike eating fish,dishware having not been sterilized,injection of blood product,and the peron's father having not inoculated HBV vaccine,when inoculated HBV vaccine,and the value of OR were 1.229,1.617,1.464,0.379 and 1.364 separately.

The total score of SAS, factor of TAS, drug abuse craving, the number of previous acute toxicosis and educated years entered the regression equation of SCL-90 in turn.

Stepwise multiple linear regression analysis showed that both thyroxine(T4) and age entered the regression equation of T3,and only age entered the regression equation of TSH.

The partial correlation factors between memory and protein, fat, VitA or VitC were 0.388 7,0.324 7,0.612 6,0.497 5 and 0.209 6. Regression analysis showed that there were 8 variables entered the regression equation( R = 0.781).

Correlation analysis indicated that TGF-β_1 was positively correlated to urinary albumin excretion rate (UAER). Stepwise regression analysis showed that TGF-β_1entered the regression equation in the final phase.

BIA was highly correlated to $$ \dot V{\text{O}}_{{\text{2max}}} $$ (r = 0.914; P >amp;lt; 0.001) and entered the regression equation first.

Neither fatness nor fat patterning was significantly related to blood pressure after weight entered the regression equation.

We use multifactorial regression to analysis 50 interns of childhood asthma in 111 cases. Those with severe short of breath during asthmatic episode, wheeze during the interval were classified as severe childhood asthma. When comparing with non-severe asthma. The results -show that the 11 factors - wheeze at night, the duration of acute episode, nonspecific stimulants induction, symptoms during the interval, cyanosis, dyspnea, hormone therapy after hospitalization, neutrophils count, serum IgA and pH, persistent...

We use multifactorial regression to analysis 50 interns of childhood asthma in 111 cases. Those with severe short of breath during asthmatic episode, wheeze during the interval were classified as severe childhood asthma. When comparing with non-severe asthma. The results -show that the 11 factors - wheeze at night, the duration of acute episode, nonspecific stimulants induction, symptoms during the interval, cyanosis, dyspnea, hormone therapy after hospitalization, neutrophils count, serum IgA and pH, persistent asthma -entered the regression equation, We suggest several clinical warning signals for childhood severe asthma.

? To research the factors relating to the adaptive behaviors in schoolchildren,the AAMD Adaptive Behavior Scale(AAMDABS) and a questionnaire including twentyfive familysocial variables were administered to the sample of 600 schoolchildren aged 612 yearsAs shown by Pearson correlation analyses and stepwise regression analyses,the scores of Part One of AAMDABS that represented the social adaptive competence correlated with age,rearing person,hearing children's opinion and parents' attitude for children'...

? To research the factors relating to the adaptive behaviors in schoolchildren,the AAMD Adaptive Behavior Scale(AAMDABS) and a questionnaire including twentyfive familysocial variables were administered to the sample of 600 schoolchildren aged 612 yearsAs shown by Pearson correlation analyses and stepwise regression analyses,the scores of Part One of AAMDABS that represented the social adaptive competence correlated with age,rearing person,hearing children's opinion and parents' attitude for children' act in dealing with problemsThese four variables and father's educational level entered the regression equationThe scores of Part Two of AAMDABS,which represented the problems in adaptive behaviors and habits,correlated with gender,social atmosphere,hearing children's opinion,the number of children,rearing persons,rearing types and parents' attitude for children's act in dealing with problems.There were seven variables in the regression equation:gender,social atmosphere,hearing children's opinion,the number of child ,family type,father's age at the time of his child born,and father's occupationThe results showed that the adaptive behaviors in schoolchildren were related with factors mentioned above

Objective To present a statistical method for combined evaluation of the quality of life and survival time and to study some issues in its application. Methods Based on Cox regression model, quality of life was used as a time dependent covariable in analysis of the influence factors for the effectiveness of detoxification in 212 drug addicts. Results The influence factors entered the regression equation were ways of detoxification for drug abusers, marital status, mode of drug abuse, frequency of detoxification,...

Objective To present a statistical method for combined evaluation of the quality of life and survival time and to study some issues in its application. Methods Based on Cox regression model, quality of life was used as a time dependent covariable in analysis of the influence factors for the effectiveness of detoxification in 212 drug addicts. Results The influence factors entered the regression equation were ways of detoxification for drug abusers, marital status, mode of drug abuse, frequency of detoxification, maternal educational level, maternal occupation, family atmosphere and help and encourage from their relatives and friends, with their hazard ratios of 0.673, 1.315, 1.319, 0.867, 1.120, 1.318, 0.724 and 1.150, respectively. Conclusion Combined statistical analysis of quality of life and survival time was a better method for the evaluation of the effectiveness of detoxification and its influence factors, which depended mainly on their mother's qualification, family atmosphere, mode and length of drug abuse, etc.