Table 4 Power for testing \(H_0:\beta ^{(1)}_{j}=\cdots =\beta ^{(G)}_{j}\) vs \(H_1:\) not \(H_0\) at \(\alpha =0.05\).
From: Debiased inference for heterogeneous subpopulations in a high-dimensional logistic regression model
j | \(\min _{g}\beta ^{(g)}_j\) | \(\max _{g}\beta ^{(g)}_j\) | Methods | ||||
|---|---|---|---|---|---|---|---|
DFGL | DL | DPL | DR-B | DL-B | |||
167 | \(-\,1.0\) | 1.0 | 0.56 | 0.32 | 0.33 | 0.07 | 0.30 |
187 | \(-\,1.0\) | 1.0 | 0.77 | 0.53 | 0.54 | 0.11 | 0.54 |
211 | \(-\,0.8\) | 0.8 | 0.26 | 0.18 | 0.13 | 0.00 | 0.18 |
270 | \(-\,0.8\) | 0.8 | 0.42 | 0.24 | 0.28 | 0.02 | 0.22 |
