Performance of three statistical methods for the surveillance of birth defect
Author:
Affiliation:
1. Department of Statistics, Manonmaniam Sundaranar Univesrsity, Tirunelveli, Tamil Nadu, India
2. Department of Statistics, Manonmaniam Sundaranar Univesrsity, Tirunelveli, Tamil Nadu, India.
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/09720510.2017.1406642
Reference18 articles.
1. Comparison of two statistical techniques for the surveillance of birth defects through a monte carlo simulation
2. Surveillance of birth defects: The multicommunity sets technique tested by computer simulation
3. Surveillance of Congenital Malformations and Other Conditions of the Newborn
4. Financial considerations of the sets technique in animal-disease surveillance
5. THE EFFICIENCY OF THE SETS AND THE CUSCORE TECHNIQUES UNDER BIASED BASELINE RATES
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