Child survivorship estimation: methods and data analysis.

Area of Science:

• Demography
• Public Health
• Statistical Methods

Background:

• The Brass method is a widely used technique for estimating infant and child mortality.
• Child survivorship data provides valuable insights into mortality patterns.

Purpose of the Study:

• To highlight the critical importance of comprehensive data analysis in interpreting mortality estimates.
• To demonstrate effective analytical techniques for child survivorship data.

Main Methods:

• Application and refinement of the original Brass method over two decades.
• Analysis of child survivorship data using techniques such as plotting completed parity distributions.
• 'Time-plotting' mean numbers of children ever born from successive censuses.

Main Results:

• Child survivorship data, when analyzed thoroughly, can yield reliable mortality estimates.
• Data for older women is often more accurate than commonly assumed.
• Examples from Sarawak, Mexico, Thailand, and Indonesia illustrate analytical approaches.

Conclusions:

• Mortality estimates derived from the Brass method require contextual analysis with other data for accurate interpretation.
• Effective data analysis enhances the understanding of mortality levels and trends.
• The utility of child survivorship data is confirmed, with specific analytical methods proving valuable.