Demographics (n)
| Total (78) | Non-mentored (39) | Mentored (39) |
---|---|---|---|

Age, years, mean (STD) | 30.8 (2.6) | 30.2 (2.2) | 31.3 (2.8) |

Male sex, n (%)
| 39 (50%) | 21 (54%) | 18 (46%) |

Advanced degrees, n (%)
| |||

- MD | 57 (73%) | 28 (72%) | 29 (74%) |

- DO | 2 (3%) | 1 (3%) | 1 (3%) |

- Additional Graduate degree | 18 (23%) | 10 (25.6%) | 9 (23%) |

Years since medical school, mean (STD) | 3.4 (1.7) | 3.7 (2.0) | 3.1 (1.3) |

Year in training, n (%)
| |||

- PGY3 | 37 (47%) | 22 (56%) | 15 (38%) |

- PGY4^{a}
| 41 (53%) | 17 (44%) | 24 (62%) |

Prior epidemiology education, n (%)
| 35 (45%) | 16 (41%) | 19 (49%) |

Prior biostatistics education, n (%)
| 38 (49%) | 21 (54%) | 17 (44%) |

Prior evidence-based medicine education, n (%)
| 48 (62%) | 27 (69%) | 21 (54%) |

Reads scientific journals, n (%)
| 76 (97%) | 38 (97%) | 38 (97%) |

Participated in research, n (%)
| 67 (86%) | 33 (85%) | 34 (87%) |

No. prior publications, n (%)
| |||

- 0 | 32 (41%) | 16 (41%) | 16 (41%) |

- 1–5 | 39 (50%) | 19 (49%) | 20 (51%) |

- >5 | 7 (9%) | 4 (10%) | 3 (8%) |

Current faculty mentor, n (%)
| 68 (87%) | 37 (95%) | 31 (79%) |

Baseline perceptions of biostatistics: 5-point Likert score (1 = strongly disagree to 5 = strongly agree) | |||

“Would like to learn more about biostatistics,” mean (STD) | 4.38 (0.84) | 4.44 (0.85) | 4.33 (0.84) |

“Can understand almost all of statistical terms in journal articles,” mean (STD) | 2.68 (0.93) | 2.64 (0.99) | 2.72 (0.89) |

“I do not trust statistics,” mean (STD) | 2.4 (0.87) | 2.54 (0.82) | 2.34 (0.91) |

“I use statistical information in medical care,” mean (STD) | 3.54 (0.94) | 3.49 (0.91) | 3.59 (0.97) |

“Necessary to know about statistics,” mean (STD) | 4.71 (0.54) | 4.64 (0.63) | 4.77 (0.43) |

Confidence in ability to, mean (STD) | |||

- Interpret p values
| 3.73 (0.82) | 3.82 (0.76) | 3.64 (0.87) |

- Interpret statistical methods | 2.71 (0.69) | 2.74 (0.75) | 2.67 (0.62) |

- Assess if correct statistical procedure used | 1.96 (0.81) | 1.95 (0.76) | 1.97 (0.87) |

- Identify factors influencing study power | 2.45 (0.77) | 2.41 (0.88) | 2.49 (0.64) |

- Apply study results to clinical practice | 2.96 (0.69) | 2.97 (0.67) | 2.95 (0.7) |