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- W2372511151 abstract "Objective To construct Logistic Regression Model for analyzing and forecasting short-term result in chemotherapy of patients Methods A case-control stuty and Non-conditional Logistic Regression Analysis Model P=1/{1+exp[-(a+∑b jX j)]}have been used for analysis of 277 pulmonary tuberculosis patients treated with DOTS, 39 relevant influential factors were analyzed(α=0 05) Logistic Regression Model has been checked by returning original material to regression equation Results Through analysis of Non-conditional Logistic Regression,3 factors are eventually induced into the fitted regression equation,i e ,P=1/{1+exp[-(3 4773-0 1499X 11 -0 7983X 23 -0 1501X 37 )]},correct rate of which accounts for about 77 3% Conclusion Non-conditional Logistic Regression Model is feasible in analyzing and forecasting short-term result of chemotherapy of TB patients" @default.
- W2372511151 created "2016-06-24" @default.
- W2372511151 creator A5001204705 @default.
- W2372511151 date "2003-01-01" @default.
- W2372511151 modified "2023-09-24" @default.
- W2372511151 title "Construction of logistic regression model for prediction of short-term results in chemotherapy of TB." @default.
- W2372511151 hasPublicationYear "2003" @default.
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