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Assignment to phase of step cycle was based on the time of the stimulation delivery in the data sweep.
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Reasons may include problems in distinguishing between different infertility treatments when filling in the data collection form in the delivery hospitals; a lack of data in pregnancy records; or mothers' wishes to conceal their utilisation of infertility treatments.
This latter figure reflects a similar period to that captured between booking and delivery in the NorCAS data extract, and further supports our view that even if the figure of 8.9% is an underestimate, the mobility of pregnant women in the north of England is still relatively low compared to women throughout the UK.
1 based on principal components analysis of 10 census items 2 for comparison with Figure 1 A relationship between individual maternal education and preterm delivery is observed in the data, but it is modest in magnitude (Table 2).
The mean age at delivery of women in the data set was calculated as 35.26 years (±4.68), the mean BMI before pregnancy 22.04 kg/m2 (±3.74) with a comparable value at the interview stage, and the mean weight gain during pregnancy was 13.19 kg (±4.45) [Table 1].
Previous validation studies have reported high levels of data accuracy for the majority of diagnoses and procedures conducted during labour and delivery in the state-wide data base, 19 20 although the recording of medical conditions are overall generally underreported.
In Delay Tolerant Networks (DTNs), the delay in the delivery of the data is much larger than typically expected, and in fact it is comparable to the time it takes the topology to change.
For this reason, we propose sampling placentas of all delivery methods and routinely recording detailed information on the method and conditions of labor and delivery to be used in the data analysis.
Parity and previous mode of delivery was not included in the data base and could not be considered for the analysis.
What is evident is that Google has been very successful at arguing it's an impartial middleman in the data delivery pipeline.
What is evident is that Google has been very successful at arguing it's an impartial middleman in the data delivery pipeline.
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