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An analysis of indirect mortality estimation.

W B Arthur¹, M A Stoto

¹a Food Research Institute , Stanford University , Stanford , California , USA.

Population Studies

|November 17, 2011

Summary

This summary is machine-generated.

This study examines Brass's child-survivorship method for estimating mortality. It develops an analytical approach to understand errors from flawed data and violated demographic assumptions in indirect mortality estimates.

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Area of Science:

Demography
Population Studies
Statistical Methods

Background:

Brass's child-survivorship method is a key technique for indirect mortality estimation.
This method relies on specific data quality and demographic assumptions.
Violations of these assumptions can introduce significant bias into mortality estimates.

Purpose of the Study:

To investigate the robustness of Brass's child-survivorship indirect mortality estimation technique.
To develop an analytical method for quantifying errors in indirect mortality estimates.
To understand the conditions under which indirect mortality estimation methods are robust.

Main Methods:

Development of an analytical method to study error propagation.
Analysis of bias introduced by poor data quality.
Evaluation of errors stemming from inappropriate model function selection.
Assessment of bias due to violated demographic assumptions.

Main Results:

Analytical expressions derived to quantify errors in indirect mortality estimates.
Identification of conditions influencing the robustness of the estimation technique.
Quantification of the magnitude of errors when specific assumptions are violated.
Insight into the underlying rationale of indirect demographic estimation methods.

Conclusions:

Brass's method's robustness is sensitive to data quality and assumption validity.
The developed analytical framework provides a tool for error assessment in indirect mortality estimation.
Understanding assumption violations is crucial for accurate demographic analysis.