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A comparison of different approaches for fitting centile curves to birthweight data
1Department of Mathematics, Napier University, Edinburgh, U.K.
Insights
This study compares statistical methods for creating centile charts to identify infants small for gestational age. Findings help improve clinical assessment of intra-uterine growth retardation using Scottish birth data.
Area of Science:
- Perinatal epidemiology
- Biostatistics
- Clinical growth assessment
Background:
- Centile charts are crucial for identifying infants small for gestational age (SGA).
- Intra-uterine growth retardation (IUGR) is a significant concern in perinatal health.
- Various statistical methods exist for constructing these charts, each with different assumptions.
Purpose of the Study:
- To compare different statistical approaches for constructing centile charts.
- To evaluate methods for identifying infants with potential intra-uterine growth retardation.
- To utilize a comprehensive dataset of Scottish live births for this comparison.
Main Methods:
- Comparison of distribution-free methods (empirical centile smoothing) versus parametric methods (assuming Normal distribution).
- Utilized a large dataset of live births in Scottish hospitals (1980-1992).
- Analysis focused on charts plotted by week of gestational age.
Main Results:
- The study provides a comparative analysis of various centile chart construction techniques.
- The effectiveness of different statistical methods in identifying SGA infants was assessed.
- Data from the Scottish Health Service's SMR2 forms provided a robust basis for comparison.
Conclusions:
- The choice of statistical method impacts the accuracy of centile charts for SGA assessment.
- This comparison aids in selecting optimal methods for clinical use in identifying potential IUGR.
- The findings contribute to refining perinatal growth monitoring standards.
Abstract:
Centile charts, plotted by week of gestational age, are widely used clinically to decide whether a child is 'small-for-dates', indicating that there may have been some cause of intra-uterine growth retardation. A variety of different statistical techniques have been proposed for constructing centile charts. Some methods are distribution free and work on the basis of obtaining and then smoothing the empirical centiles. In others the centiles are calculated assuming a Normal distribution either of the raw data or of transformed data. In Scotland the details of each maternity admission are entered onto an SMR2 form and these records are stored centrally by the Scottish Health Service. A data set consisting of all live births occurring in Scottish hospitals between 1980 and 1992 is used to compare different approaches to constructing centile charts.