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. Author manuscript; available in PMC: 2011 Apr 10.
Published in final edited form as: Biometrics. 2009 Jun;65(2):394–404. doi: 10.1111/j.1541-0420.2008.01074.x

Table 1.

Estimated regression coefficients and standard errors of all clinical predictors and gene signatures for the breast cancer data example

Gehan’s estimator LASSO Adaptive LASSO
clinical predictors
age (decades) 0.264 (0.166)1 0.123 (0.068) 0.000 (–)
tumor size (diameter, cm) −0.132 (0.129) −0.042 (0.024) −0.056 (0.033)
tumor grade
grade 3 vs 1 −0.678 (0.396) −0.225 (0.082) −0.281 (0.205)
grade 2 vs 1 −0.405 (0.342) 0.000 (–) 0.000 (–)
vascular invasion
1-3 vessels vs 0 vessel 0.268 (0.312) 0.000 (–) 0.000 (–)
> 3 vessels vs 0 vessel −0.122 (0.557) −0.276 (0.104) −0.453 (0.047)
estrogen receptor status −0.261 (0.455) 0.000 (–) 0.000 (–)
(positive vs negative)
mastectomy vs breast conserving therapy −0.166 (0.213) −0.053 (0.035) 0.000 (–)
No adjuvant vs chemo or hormonal therapy 0.096 (0.287) 0.000 (–) 0.000 (–)
the number of lymph nodes −0.024 (0.078) −0.013 (0.006) 0.000 (–)
NIH risk status 0.208 (0.387) 0.000 (–) 0.000 (–)
(high vs. intermediate or low)
gene signatures
wound response −1.198 (0.683) −1.493 (0.371) −1.915 (0.505)
70-gene 1.181 (0.523) 0.417 (0.119) 0.945 (0.334)
normal-like 0.460 (1.675) 0.561 (0.297) 0.000 (–)
ErbB2 −2.926 (1.230) −0.395 (0.151) −2.161 (0.761)
luminal A −1.827 (1.512) 0.000 (–) −1.478 (0.635)
luminal B, 0.729 (1.577) −0.251 (0.109) 0.000 (–)
basal-like −0.763 (1.619) 0.000 (–) 0.315 (0.120)
1

The estimated standard error for the point estimator