Table 3.

Parameter estimates of quantile regression models fit to log_e OD values

Quantile	Model output	Intercept	Time	Time × Time
Post-Vaccination
0.5	Estimate	−6.037	1.427	−0.102
	standard error	0.532	0.193	0.015
	95% confidence limits	−2.107	1.045–1.809	−0.059
0.75	Estimate	−5.34	1.357	−0.097
	standard error	0.434	0.165	0.013
	95% confidence limits	−1.719	1.030–1.683	−0.052
0.9	Estimate	−5.82	1.749	−0.129
	standard error	0.845	0.323	0.025
	95% confidence limits	−3.349	1.109–2.389	−0.1
Post-Challenge
0.5	Estimate	1.304	−0.069	NA
	standard error	0.187	0.103	NA
	95% confidence limits	0.931–1.678	−0.041	NA
0.75	Estimate	1.343	−0.048	NA
	standard error	0.224	0.016	NA
	95% confidence limits	0.896–1.791	−0.063	NA
0.9	Estimate	1.573	−0.055	NA
	standard error	0.317	0.021	NA
	95% confidence limits	0.938–2.208	−0.085	NA

Parameter estimates, standard errors, and 95% confidence limits from 0.50, 0.75, and 0.90 quantile regression models fit to log_e OD values post pVHSivb-G immunization (Post Vaccination) and post VHSV challenge (Post Challenge). The fitted regression models for post-vaccination (PV) included weeks PV (Time) and the square of weeks PV (Time × Time) as explanatory variables. The fitted regression models for post-challenge included weeks post-challenge (Time) as an explanatory variable