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Table 4 Comparison of generalized linear regression results measuring the impact of physician characteristics on likelihood to agree to participate in the ACP trial using both the most parsimonious fixed and random effects models

From: Constructing within and between hospital physician social networks for modeling physician research participation

 

Reduced fixed effects model

Random effects model

 Term

OR (95% CI)

p-value

OR (95% CI)

p-value

Age\(^\dagger\)

0.97 (0.93, 0.99)

0.01

0.96 (0.93, 0.99)

0.01

AgeObserved\(^\ddagger\)

6.54 (1.48, 28.9)

0.01

6.78 (1.52, 30.2)

0.01

No. Hospitals

1.50 (1.18, 1.91)

<0.01

1.49 (1.17, 1.90)

<0.01

Years with physician organization

1.52 (1.14, 2.01)

<0.01

1.53 (1.15, 2.04)

<0.01

  1. \(^\dagger\) The effect of age is estimated for the subgroup of physicians whose age is observed; this is enabled by representing Age in the model as Age \(\times\) AgeObserved
  2. \(\ddagger\) AgeObserved is the indicator variable equal to 1 if age is observed and 0 otherwise
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BMC Medical Research Methodology

ISSN: 1471-2288

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