Related Experiment Video
Updated: Jun 1, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Tall claims: Mortality selection and the height of children in India
Harold Alderman1, Michael Lokshin, Sergiy Radyakin
1World Bank, 1818 H Street, NW, Washington, DC 20433, MSN MC3-306, United States. halderman@worldbank.org
Abstract:
Data from three rounds of nationally representative health surveys in India (1992/93, 1998/99 and 2005/06) are used to assess the impact of selective mortality on children's anthropometrics. The nutritional status of the child population was simulated under the counterfactual scenario that all children who died in the first three years of life were alive at the time of measurement. The simulations demonstrate that the difference in anthropometrics due to selective mortality would be large only if there were very large differences in anthropometrics between the children who died and those who survived. Differences of this size are not substantiated by the research on the degree of association between mortality and malnutrition. The study shows that although mortality risk is higher among malnourished children, selective mortality has only a minor impact on the measured nutritional status of children stratified by gender.
Related Concept Videos
Nature and Nurture
Regression Toward the Mean
Polygenic Traits
Variation: Normal Distribution, Range, and Standard Deviation
Applications of Life Tables
Truncation in Survival Analysis
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are observed.
