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Table 5 Multinomial Logistic Regression Results for Latent Classes of Prostate Cancer Utilities

From: 1842676957299765Latent class cluster analysis to understand heterogeneity in prostate cancer treatment utilities

Covariate High- vs. No-traders
OR (95% CI)
Low- vs. No-traders
OR (95% CI)
High- vs. Low-traders
OR (95% CI)
Age 1.046 (0.982 to 1.113) 1.021 (0.979 to 1.064) 1.025 (0.964 to 1.089)
Non-white
White (reference)
1.319 (0.444 to 3.921) 0.409 (0.182 to 0.920)* 3.222 (1.071 to 9.694)*
Men with prostate cancer
Men at-risk (reference)
0.787 (0.181 to 3.411) 0.460 (0.170 to 1.245) 1.711 (0.411 to 7.126)
Sex very important
Sex unimportant (reference)
7.063 (1.413 to 35.301)* 4.506 (1.705 to 11.910)** 1.568 (0.291 to 8.443)
Sex somewhat important
Sex unimportant (reference)
3.052 (0.607 to 15.337) 4.377 (1.745 to 10.981)** 0.697 (0.128 to 3.800)
  1. *= P < 0.05; **= P < 0.01; CI = confidence interval; OR = odds ratio