Objective: To assess the data quality and estimate the provincial infant mortality rate (1q0) from China's sixth census.
Methods: A log-quadratic model is applied to under-fifteen data. We analyze and compare the average relative errors (AREs) for 1q0 between the estimated and reported values using the leave-one-out cross-validation method.
Results: For the sixth census, the AREs are more than 100% for almost all provinces. The estimated average 1q0 level for 31 provinces is 12.3‰ for males and 10.7‰ for females.
Conclusion: The data for the provincial 1q0 from China's sixth census have a serious data quality problem. The actual levels of 1q0 for each province are significantly higher than the reported values.
Keywords: AREs; Infant mortality rate; The sixth census.
Copyright © 2015 The Editorial Board of Biomedical and Environmental Sciences. Published by China CDC. All rights reserved.