This is a Stata do-file for the analysis using robust standard errors with Multiple Imputation and Inverse Probability Weighting (Model 3). The primary outcome is the estimated prevalence of bacteriologically confirmed pulmonary TB.
For more details, read:
Analysis of tuberculosis prevalence surveys: new guidance on best-practice methods
https://ete-online.biomedcentral.com/articles/10.1186/1742-7622-10-10
Chapter 16 of Tuberculosis prevalence surveys: a handbook. World Health Organization (2011). AKA "Limebook".
https://apps.who.int/iris/bitstream/handle/10665/44481/9789241548168_eng.pdf
- First created: 10 November 2013
- Authors: B. Sismanidis & S. Floyd
- Updated on 27 June 2014 by I. Law for Ghana TB prevalence survey
- Updated on 11 October 2016 by I. Law for Bangladesh TB prevalence survey
- Updated on 27 February 2017 by I. Law for the Kenya TB prevalence survey
- Updated on 4 April 2017 by I. Law for the Philippines 2016 TB prevalence survey
- Updated on 22-29 February 2019 by S. Floyd, I. Law and P. Maribe for the South Africa 2017-19 TB prevalence survey
- Updated on 29 March 2019 by I. Law using dataset from 15 March 2019 for South Africa 2017-19 TB prevalence survey
- Updated on 21 Feb 2020 and 17 March 2020 by I. Law using dataset from 10 February 2020 for Lesotho TB prevalence survey