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Table 4 Summary of multiple logistic regression analyses and regression trees. PPE: probability of prediction error

From: Are there specific clinical characteristics associated with physician’s treatment choices in COPD?

Analysis

Multiple logistic regression analyses

Penalized logistic regression analyses

Regression trees

Determinants

PPE

Determinants

PPE

Determinants

PPE

A vs BCDE (no maintenance vs at least one)

FEV1, FVC

0.19

FEV1, FVC, gender, age, CAT, DIRECT

0.17

FEV1, FVC

0.19

B vs CDE (one vs > 1 maintenance treatment)

FEV1, FVC, gender, exacerbation history

0.23

FEV1, FVC, gender, DIRECT, exacerbation history

0.22

FEV1, age, CAT, HAD, exacerbation history

0.20

BC vs DE (ICS vs no ICS in patients with a maintenance treatment)

FEV1, exacerbation history

0.34

FEV1, exacerbation history, age, gender, HAD, CAT, DIRECT

0.34

FEV1, FVC, age, HAD, exacerbation history

0.28

E vs BCD (triple vs other maintenance treatment schemes)

FEV1, FVC, exacerbation history

0.32

FEV1, gender, HAD, DIRECT, exacerbation history

0.32

FEV1, DIRECT, exacerbation history

0.29

  1. A category: no COPD treatment or short-acting bronchodilator(s) (SABA and/or SAMA) only; B category: LABA OR LAMA; C category: LABA+LAMA; D category: LABA OR LAMA + ICS; E category: LABA+LAMA+ICS