文件名称：癌症复发率的反向回归分析-190422-st_tech_trends_report_2020-2040
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更新时间：2024-06-23 14:43:27
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报表 20.3 癌症复发率的反向回归分析 Backward Elimination on Cancer Remission Data The LOGISTIC Procedure Data Set WORK.REMISS Response Variable REMISS Complete remission Response Levels 2 Number of Observations 27 Link Function Logit Response Profile Ordered Value REMISS Count 1 0 18 2 1 9 Backward Elimination Procedure Step 0. The following variables were entered: INTERCPT TEMP CELL SMEAR INFIL LI BLAST Criteria for Assessing Model Fit Intercept Intercept and Criterion Only Covariates Chi-Square for Covariates AIC 36.372 35.751 . SC 37.668 44.822 . -2 LOG L 34.372 21.751 12.621 with 6 DF (p=0.0495) Score . . 9.461 with 6 DF (p=0.1493) Step 1. Fast Backward Elimination: Analysis of Variables Removed by Fast Backward Elimination Pr > Variable Pr > Residual Residual