Sentence examples for enrollment over time from inspiring English sources

Instead of properly funding these pools, many states curtailed their enrollment over time, implemented further preexisting condition restrictions, and forced the sick into high-cost, low-coverage private plans.

There was a non-significant trend towards decreasing age at enrollment over time (Table 1); however, the median age remained high in the fourth year of implementation.

We evaluated whether the total ACTG enrollment may be influenced by the following parameters: 1. Trend over time - examination of the raw data suggested that a linear trend with increasing quarterly enrollment over time may be present.

This may be due to the large increase in enrollment over time, thereby reducing the ability of clinic staff to monitor and manage the patient load, or to the increasing distances patients travelled to the clinic, which was found to be associated with higher loss to follow-up in this population [ 28].

The sequence was determined from randomly permuted blocks of equal length with each having a fixed number of treatment allotments to balance the treatment enrollments over time.

More frequent during the full trial than the pilot phase, facility with co-enrollment may have increased over time.

These patterns were not observed in the urban clinic, where enrollment decreased over time and few infants were enrolled.

Why is there such a difference in literacy rates between the two cities? Table 1 shows school enrollment rates over time for Chicago and Buenos Aires.

Given that we find that the effect on flagship enrollment declines over time, an important question is whether this is being driven by students admitted under the TTP dropping out at a higher rate than other students.

Also, there was strong evidence in the ACTG of an increase in enrollment performance over time.

Enrollment accelerated over time (+27 patients per quarter for all studies and +16 patients per quarter for the main studies, p < 0.001) and was affected by the performance of large studies with target sample size > 1,000 (p < 0.001).