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Table 3 Regression analysis for construction of correction equations

From: Comprehensive evaluation of the influence of sex differences on composite disease activity indices for rheumatoid arthritis: results from a nationwide observational cohort study

 

GLM

QR

Estimate (95% CI)

Estimate (95% CI)

Intercept

1.407 (1.325 to 1.490)

1.503 (1.375 to 1.614)

Age

0.008 (0.006 to 0.009)

0.007 (0.006 to 0.010)

Joint

0.426 (0.351 to 0.503)

0.384 (0.333 to 0.449)

Male

− 0.825 (− 0.983 to − 0.664)

− 1.021 (− 1.229 to − 0.686)

Age: male

0.008 (0.006 to 0.010)

0.011 (0.006 to 0.014)

Joint: male

0.177 (0.040 to 0.318)

0.202 (0.061 to 0.297)

  1. The variable “Joint” represents 0.56 × √(TJC28) + 0.28 × √(SJC28)
  2. The variable “Male” is dummy variable that female is used as reference
  3. The variable “Age: Male” represents interaction term of age and male sex
  4. The variable “Joint: Male” represents interaction term of joint findings and male sex
  5. GLM Generalized linear model; QR Quantile regression
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BMC Rheumatology

ISSN: 2520-1026

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