Abstract
Aims: Interest in the distribution of birth weight arises because of the association between birth weight and the future health of the child. A common statistical result is that the birth weight distribution differs slightly from the Gaussian distribution.
Methods: A standard attempt has been done to split the distribution into two components, a predominant Gaussian distribution and an unspecified “residual” distribution.
Results: We considered birth weight data among triplets born in Finland in 1905-1959 and compare the birth weight among stillborn and live-born triplets. The stillbirth rates are 119.1 per 1000 births for males, 124.6 for females and 121.8 for all. The sex differences are not significant. The still birth rate for the period 1905-1930 was 119.5 and for the period 1931-1959, 124.2. We identified a strong association between birth weight of the triplets and their survival. The weight distribution for male triplets is described well by the Gaussian curve, while for females a slight deviation from the Gaussian distribution is discernible.
Keywords: Live-born; stillborn; infant mortality; regression models; normal distribution; Kolmogorov-Smirnov test
Methods: A standard attempt has been done to split the distribution into two components, a predominant Gaussian distribution and an unspecified “residual” distribution.
Results: We considered birth weight data among triplets born in Finland in 1905-1959 and compare the birth weight among stillborn and live-born triplets. The stillbirth rates are 119.1 per 1000 births for males, 124.6 for females and 121.8 for all. The sex differences are not significant. The still birth rate for the period 1905-1930 was 119.5 and for the period 1931-1959, 124.2. We identified a strong association between birth weight of the triplets and their survival. The weight distribution for male triplets is described well by the Gaussian curve, while for females a slight deviation from the Gaussian distribution is discernible.
Keywords: Live-born; stillborn; infant mortality; regression models; normal distribution; Kolmogorov-Smirnov test
| Original language | English |
|---|---|
| Peer-reviewed scientific journal | British Journal of Medicine and Medical Research |
| Volume | 4 |
| Issue number | 6 |
| Pages (from-to) | 1423-1431 |
| Number of pages | 9 |
| Publication status | Published - 01.01.2014 |
| MoE publication type | A1 Journal article - refereed |
Keywords
- 112 Statistics and probability
- 314,2 Public health care science, environmental and occupational health
- KOTA2014
