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Table 3 False Discovery Rate with standard deviation of all signal detection approaches across scenarios 1 to 3, e.g. for scenarios where nTP=0

From: New adaptive lasso approaches for variable selection in automated pharmacovigilance signal detection

Methods

False Discovery Rate

 

scenario 1: β0=−2

scenario 2: β0=−4

scenario 3: β0=−6

RFET

0.00 (0.00)

0.01 (0.09)

0.00 (0.04)

lasso-cv

0.31 (0.46)

0.28 (0.45)

0.12 (0.26)

lasso-bic

0.12 (0.33)

0.10 (0.30)

0.07 (0.26)

lasso-perm

0.37 (0.46)

0.41 (0.49)

0.35 (0.48)

CISL

0.06 (0.23)

0.04 (0.20)

0.18 (0.38)

adapt-bic

0.11 (0.32)

0.10 (0.30)

0.07 (0.26)

adapt-cisl

0.13 (0.33)

0.11 (0.32)

0.09 (0.29)

ps-adjust

0.01 (0.12)

0.15 (0.35)

0.14 (0.35)

ps-mw

0.00 (0.00)

0.00 (0.00)

0.00 (0.00)

ps-iptw

0.99 (0.10)

1.00 (0.00)

1.00 (0.00)

ps-iptwT

0.23 (0.42)

0.35 (0.48)

0.29 (0.45)