. Author manuscript; available in PMC: 2015 Sep 1.

Published in final edited form as: J Bone Miner Res. 2014 Sep;29(9):2090–2100. doi: 10.1002/jbmr.2241

Table 5.

Accuracy of Fracture Prediction Model based on Subsets of Weighting Factors

Fracture Classifier	Mean Correct Classifications (out of 45 men)	Mean Correct Fracture Classifications (out of 4 men)	Mean Correct Non-case Classifications (out of 41 men)
SSDM & Age	42.6 (94.7%)	2.2 (55.0%)	40.4 (98.5%)
SSDM (WFs > 10%) & Age	40.8 (90.7%)	0.4 (10.0%)	40.4 (98.5%)
SSDM (WFs > 1%) & Age	41.2 (91.6%)	1.1 (27.5%)	40.1 (97.8%)
SSDM (WFs < 1%) & Age	42.1 (93.6%)	1.5 (37.5%)	40.6 (99.0%)

Notes: Parenthetical descriptions of weighting factor subsets refer to the variability that is explained individually by each principal component weighting factor.