Table 4 Logistic Regression

Outcome = Overall Score Failure (≤ 16)

Model

Variable

Count

OR

P > |Z|

95% CI

1

Male

408

referent

--

--

2

Age

433

1.09

0.001

(1.06,1.12)

3

Rank

433

1.07

0.001

(1.04,1.11)

4

Tenure

433

1.07

0.001

(1.04,1.10)

5

No Injuries

315

referent

--

--

Any Injuries

118

1.43

0.115

(0.92,2.24)

6

# Injuries

433

1.22

0.093

(0.97,1.54)

7

No Time Lost

379

referent

--

--

Injured & Lost Time

54

1.66

0.090

(0.92,2.98)

Multiple Logistic Regression

Outcome = Overall Score Failure (≤ 16)

Significant Models Only

Model

Variable

OR

P > |Z|

95% CI

LROC

1

Age

1.09

0.001

(1.06, 1.12)

Any Injuries

1.68

0.033

(1.04, 2.71)

0.703

2

Age

1.09

0.001

(1.06, 1.12)

# Injuries

1.29

0.044

(1.01, 1.66)

0.702

3

Age

1.09

0.001

(1.06, 1.12)

Injured & Lost Time

1.85

0.054

(0.99, 3.44)

0.702