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This latter analysis is problematic if the available data are constrained by a restricted range of GA [) is a large-scale, population-based, multi-centre project involving health institutions from eight geographically diverse countries (i.e.

Brazil, China, India, Oman, Kenya, UK, USA and Italy), which aims to assess fetal, newborn and preterm growth under optimal conditions, in a manner similar to that adopted by the WHO Multicentre Growth Reference Study [].

We explored three alternative statistical approaches to overcome the truncation of GA.

The choice of which approach is best is hard to justify through formal statistical testing, and is likely to depend on the specific data being analysed.

To evaluate these strategies we generated a data set with no truncation of GA that was similar to the INTERGROWTH-21 Project CRL data, which we used to explore the performance of different methods of analysis of these data when we imposed truncation at 9 and 14 weeks of gestation.

9 Project is the largest prospective study to collect data on CRL in geographically diverse populations and with a high level of quality control measures in place.

We aim to develop a new gestational age estimation equation based on the crown-rump length (CRL) from women recruited between 9 weeks.

After evaluating the 3 approaches using simulated data based on the Verburg equations, the best approach will be applied to the INTERGROWTH-21Fetal ultrasound scanning is considered an essential part of routine antenatal care with first trimester scans recommended for confirming viability, accurate estimation of gestational age and determining the number of fetuses [], and it has become the preferred method for dating pregnancy.

A reliable estimate of gestational age is key information as it underpins clinical care and allows estimation of the expected date of delivery.

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