The three monthly urine samples for the biological markers of puberty can be used to regress time on time measures, with tempo being defined by the residuals.
After regressing time of exposure to pesticides, high seminal pH (p = 0.05), low seminal vesicles function (low seminal corrected fructose levels) (p = 0.01), low percent of normal sperm morphology (p = 0.04), high serum estradiol levels (p = 0.02), low serum LH levels (p = 0.02), low ratio testosterone/estradiol (p = 0.01) and high ratio testosterone/LH (p = 0.02) were observed (Table 3).
We found an increase of estradiol after regressing time of exposure to pesticides, this result is different from those obtained by Hodgson and Rose where OP showed a high irreversible inhibition activity of testosterone and estradiol metabolism by cytochrome P450 (CYP) 3A4, and by CYP3A4 and CYP1A2, respectively.
After regressing time of exposure to pesticides (months), lower seminal vesicles function (low seminal corrected fructose levels) (p = 0.01), low percent of normal sperm morphology (p = 0.02), high serum estradiol levels (p = 0.03), low serum LH levels (p = 0.01), low ratio testosterone/estradiol (p = 0.01) and high ratio testosterone/LH (p = 0.01) were observed (Table 2).
By regressing time-varying Okun's coefficients on fiscal policy instruments we find no significant impact (Table 2).
Do regressing times breed this desire?
In multiple regression we regressed life time partners on the same covariables as used in the analysis of recent partners, except that instead of current smoking ever smoking was used.
To control for confounding by time trend and seasonality, we regressed the time series of daily death counts against time (modeled with natural cubic spline function, 5 df per year).
For each AQS, fixed, and NYCCAS reference site s, we regressed the time series of observations C s, t) on the smoothed time trends using ordinary least squares regression with mean function E[ C s, t)] = γs0 f0(t) + … + γsm fm(t) to get estimates (^γs0,…, ^γsm) for each location.
Veerkamp et al. [ 22] used a method that approximates survival analyses by analysing survival as dead (0), alive (1) or missing (for time periods after the death of an individual) with a repeated measures model regressed on time and an intercept.
