Table 3.
Logistic regression model parameters.
Parameter | Estimation (RSE%) | Bootstrap (P2.5–P97.5) | |
---|---|---|---|
(A) TCMAR LOGISTIC REGRESSION MODEL | |||
ß0 | −6.35 (9%) | −6.65 (−8.17 to −4.52) | |
ß1 | 3.87 (14%) | 4.16 (1.92 to 5.82) | |
MOFV | 86.324 | ||
LOGIT = −6.35 + 3.87 * miR-181a-5p | |||
(B) SRC LOGISTIC REGRESSION MODEL | |||
ß0 | −5.18 (9%) | −5.31 (−6.29 to −4.07) | |
ß1 | 2.27 (33%) | 2.28 (0.27 to 4.27) | |
ß2 | 1.74 (36%) | 1.80 (0.07 to −3.41) | |
MOFV | 153.787 | ||
LOGIT = −5.18 + 2.27*miR-181a-5p + 1.74*miR-155-5p |