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. 2019 Apr 24;10:873. doi: 10.3389/fimmu.2019.00873

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