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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