For each cycle, we assumed that log(PdG) values follow a normal distribution with constant mean and variance before ovulation.
After ovulation, we modeled the log(PdG) with a normal distribution with a quadratic mean function and constant variance.
Figure 1 shows the scatterplot relating mean log severity to log publication index, together with the line showing predicted log publication index.
The basic model was: Y ij was log(PdG) or log(E1C) of day j in cycle i.
We further used linear regression models to examine the associations between ETS exposure and daily log(PdG) and log(E1C) levels within the defined window.
For the day j of cycle i, we modeled the log(PdG) value as: where day k + 1 was assigned as the day of ovulation.
F4 showed moderate activity (mean log GI50 1.05), while F5 showed weak activity (mean log GI50 1.36).
*Total kcal/kg/week, geometric mean (log transformed for normality).
The mean log ratio was calculated from the ΔΔCt (−2−ΔΔCt).
Mean log PV for E. coli contamination by high titer was 4.76±0.52 and mean log RF was 3.86±0.95.
