Table 1.

Detected variables and magnitudes of their fitted coefficients for homogeneous effect $\mu$.

Variable	${\text{Debias}}_{\text{L\&B}}$	SHIR	SMA
Prescription count of statin	0.14	0.07	0
Age	0.09	0.26	0.28
Total ICD counts	−0.38	−0.75	0
NLP count of CAD	0.97	1.34	0.81
NLP count of CAD procedure related concepts	0	0.02	0
NLP count of nonsmoker	−0.07	−0.25	− 0.42
NLP count of nonsmoker > 0	−0.53	0	0
NLP count of current-smoker	0	−0.03	0
NLP count of CAD related diagnosis or procedure ≥ 1	0.06	0.05	0
ICD count for CAD	1.00	0.67	0.35
CPT count for stent or CABG	0	0.05	0
CPT count for echo	0	−0.10	0
ICD count for CAD × CPT count for echo	0	−0.04	0
NLP count of non-smoker × Oncall	0.09	0	0
NLP count of CAD × NLP count of possible-smoker	0	−0.02	0

NOTE: $\text{A}\times \text{B}$ denotes the interaction term of variables A and B. The $\log (x+1)$ transformation is taken on the count data and the covariates are normalized.