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. 2019 Aug 17;39(7):781–795. doi: 10.1177/0272989X19866699

Table 4.

Regressions on the Association of Antibiotic Therapy Decisions with Pediatricians’ Characteristics

Length of Antibiotic Therapies (in Days) Absolute Deviation from the Expert Recommendations (in days)
Model 1 Model 2
Fixed effects
 Female (= 1 if female) 0.856 (0.528) 0.394 (0.399)
 Experience (years in hospital) −0.110*** (0.039) −0.076*** (0.030)
 Willingness to take risks −0.291*** (0.098) −0.102 (0.074)
 Extraversion 0.082 (0.169) 0.152 (0.128)
 Agreeableness 0.154 (0.246) −0.035 (0.185)
 Conscientiousness −0.581** (0.252) −0.538*** (0.190)
 Neuroticism 0.159 (0.161) 0.136 (0.122)
 Openness 0.205 (0.167) 0.165 (0.126)
 Constant 8.912*** (2.001) 4.358*** (1.497)
Random effects
 Session level
  Var(Constant) 0.846 (0.583) 0.265 (0.217)
 Subject level
  Var(Constant) 1.255 (0.408) 0.952 (0.235)
 Case level
  Var(Constant) 25.651 (77.382) 6.750 (54.123)
 Var(Residual) 3.342 (77.380) 0.998 (54.123)
Number of observations 2920 2920
Number of subjects 73 73
Number of sessions 8 8

Notes. This table shows parameter estimates from multilevel mixed-effects REML regressions, considering the first stage of the experiment. The dependent variables are “length of antibiotic therapies” and “absolute deviation from the expert recommendations”, both measured in days. Standard errors are shown in parentheses. “Willingness to take risks” was measured on a Likert scale ranging from 0 (fully risk averse) to 10 (fully risk seeking).5254 Besides the Big Five personality traits,50,51 which are displayed in the table, we controlled for “economic preferences”, which comprise validated measures for trust, reciprocity, and altruism, as well as risk and time preferences,5254 in both models. Both models include session-, subject-, and case-specific random effects.

*

P < 0.1, **P < 0.05, ***P < 0.01.