Skip to main content

Table 1 Associations between complement fixation, antibody responses, and time using latent growth curve modeling (n = 30)

From: Induction and decay of functional complement-fixing antibodies by the RTS,S malaria vaccine in children, and a negative impact of malaria exposure

Outcomea bb (s.e.) 95% CI p valuec
log C1q − 0.42 (0.03) − 0.49, − 0.36 < 0.001
log IgG1 −0.33 (0.02) − 0.37, − 0.28 < 0.001
log IgG2 − 0.30 (0.02) − 0.33, − 0.26 < 0.001
log IgG3 − 0.32 (0.02) − 0.36, − 0.28 < 0.001
log IgG4 − 0.03 (0.004) − 0.04, − 0.02 < 0.001
log IgM − 0.12 (0.02) − 0.16, − 0.09 < 0.001
  1. aEffects for each factor represent separate linear mixed modeling (LMM) analyses where the natural log of C1q-fixation and each antibody response is regressed on the natural log of time (per month). These LMMs applied a random intercept for study participant, random slope for log time with an unstructured covariance parameter specified for the correlation between the random effects
  2. bRegression coefficient (b) and standard error (s.e.) represent the percent change in C1q-fixation or antibody response for a percent increase in time
  3. cProbability values based on Wald statistics