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. Author manuscript; available in PMC: 2022 Jan 20.
Published in final edited form as: J Bone Miner Res. 2020 Aug 4;35(10):1952–1961. doi: 10.1002/jbmr.4103

Table 4:

Predictive models of Hip Fracture using difference approach for variable selection. Result for each variable is Coefficient (SE).

BIC Backward BMA
Intercept −5.054 (0.536) −5.143 (0.701) −5.571 (0.485)
Age Enrollment, per year 0.034 (0.008) 0.041 (0.009) 0.040 (0.008)
Male Gender -- -- --
Caucasian -- −0.350 (0.169) −0.615 (0.158)
BMI, per Kg/m2 -- -- --
Current Smoker 0.323 (0.126) 0.338 (0.158) --
Oral steroid -- -- --
Osteoporosis 0.489 (0.151) 0.667 (0.180) 0.646 (0.178)
Prevalent Hip Fracture 1.559 (0.220) 1.483 (0.278) 1.563 (0.274)
Prevalent Compression Fracture -- -- --
Rheumatoid arthritis -- 0.489 (0.206) --
Diabetes -- 0.393 (0.178) --
FEV1 % -- -- --
GOLD -- -- --
Emphysema ≥ 5% -- -- --
Inhaled steroids -- -- --
BODE -- −0.093 (0.044) --
6-MW distance (m) −0.002 (0.0005) −0.002 (0.001) --
MMRC -- -- --
Total exacerbations 0.107 (0.015) 0.114 (0.020) 0.113 (0.019)
Bootstrap AUC (95%CI) (higher better) 0.67 (0.63–0.69) 0.68 (0.65–0.71) 0.67 (0.63–0.70)
P value of H-L test for goodness of fit (higher better) 0.70 0.03 0.49