Because lag phase duration goes as the logarithm of P 0, the model predicts that cell-cell variation in lag duration will roughly follow a normal distribution (because the lognormal distribution of P 0 mean a normal distribution of ln(P 0 )).
Studies have used both short-term HRV (often 5 min) and long-term HRV (usually in hours, most commonly 24 hr) with particulate exposures that differ in both duration and lag time.
In the absence of ICRIII, there is a change in duration of the lag phase.
These findings relate also to theoretical models for lag phase dynamics, such as Baranyi's model [ 19], which are widely used in the food safety field to estimate lag phase duration in a given food product.
An HI90 episode on the day before delivery (lag 1) was associated with a 1-day reduction in average pregnancy duration, a lag 1 HI95 episode was associated with a 2-day reduction, and a lag 1 HI99 event was connected to a 5-day reduction.
Although the unlagged model fit best for most exposure metrics (cumulative, duration) in white women, a 10-year lag fit better in nonwhite women.
The duration of lag phase was used to compare different strains, and in order to include strain replicates that failed to grow during the 36-h incubation, the lag phase was measured using the following scoring system: a lag phase of 0 to 10 h was scored 4, 10 to 15 h scored 3, 15 to 20 h scored 2 and a lag phase of over 20 h scored 1 point.
Sector duration lagged 5 yr (duration in sector until 5 yr prior to study survey).
The median lag time was 12.35 weeks, although there was considerable variation in lag times; 15% of patients had a lag time up to 4 weeks duration, 35% of cases had a lag time between 1 and 3 months, and in 25% of cases the duration between onset of symptoms and diagnosis was between 4 and 6 months.
