Sentence examples for lag of three months from inspiring English sources

To test for stationarity and the presence of unit roots, we use the Augmented Dickey-Fuller (ADF) test [62] and the KPSS test [63] with a maximum lag of three months.

In many UK registries, death certificates mentioning cancer are received and added to the registry's database within a week or so of the date of death, whereas information on pathology may be processed with a time lag of three months or more, and information on the first course of treatment may not be fully captured for up to nine months after diagnosis.

This study employed a longitudinal design to investigate the relationship between baseline self-compassion, perceived stress, and psychological outcomes in college students (n = 462) when the outcomes were measured both concurrently with perceived stress and after a lag of six months.

This can probably be explained by high colinearity with other rain variables (with time lag of one and two months).

We discovered a significant relationship of the LOD anomaly with phase at the broadest scale, Φ t,192), with a cross-correlation coefficient of 0.507 at a lag of zero months (p<0.0001; Fig. 3), for the period where both data sets are available (1962 1994).

Low-dose aspirin use was treated as time-varying, with users not considered to be exposed until after a lag of six months following their initial prescription.

In order to exclude prevalent cases, we imposed a lag period of three months after registration with their general practitioner.

Third, we incorporated a lag interval of three months for analysis to examine whether there was an association between a state's unemployment rate and subsequent rates of drug utilization.

At the end of three months' time interval, the tablets were examined for any physical characteristics, drug content, in vitro drug release (lag time), floating lag time, and floating duration.

Monthly rainfalls in the preceding month (power: 99.9), net use (power: 83.1) and a lag minimum temperature of two months (power: 73.0) did not appeared as main splitters in the final tree whereas they were identified as important risk factors for Anopheles density as shown by the ranking of their discriminatory power (Table 3).

Pearson's correlation was performed to quantify the relationships between climatic variables, reservoir data and the monthly incidence of HFRS with a lag of zero to three months.