文件名称：癌症复发率的逐步回归分析-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 20.2 癌症复发率的逐步回归分析 Stepwise Regression 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 Simple Statistics for Explanatory Variables Standard Variable Mean Deviation Minimum Maximum CELL 0.881481 0.186645 0.200000 1.00000 SMEAR 0.635185 0.214052 0.320000 0.97000 INFIL 0.570741 0.237567 0.080000 0.92000 LI 1.003704 0.467795 0.400000 1.90000 BLAST 0.688852 0.535804 0.000000 2.06400 TEMP 0.997000 0.014861 0.980000 1.03800 Step 0. Intercept entered: Analysis of Maximum Likelihood Estimates Parameter Standard Wald Pr > Standardized Odds Variable DF Estimate Error Chi-Square Chi-Square Estimate Ratio INTERCPT 1 0.6931 0.4082 2.8827 0.0895 . 2.000 Residual Chi-Square = 9.4609 with 6 DF (p=0.1493) Analysis of Variables Not in the Model Score Pr > Variable Chi-Square Chi-Square CELL 1.8893 0.1693 SMEAR 1.0745 0.2999 INFIL 1.8817 0.1701