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Comment
. 2018 May-Jun;44(3):249-252.
doi: 10.1590/S1806-37562018000000096.

Reflections upon the article "Evaluation of the impact that the changes in tuberculosis treatment implemented in Brazil in 2009 have had on disease control in the country"Authors' replyEvaluation of the impact that the changes in tuberculosis treatment implemented in Brazil in 2009 have had on disease control in the countryHow Do You Know Which Health Care Effectiveness Research You Can Trust A Guide to Study Design for the PerplexedSegmented regression analysis of interrupted time series studies in medication use researchConducting interrupted time series analysis for single-and multiple-group comparisonsInterrupted time series regression for the evaluation of public health interventions a tutorialHow to obtain the confidence interval from a P value

[Article in English, Portuguese]
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Comment

Reflections upon the article "Evaluation of the impact that the changes in tuberculosis treatment implemented in Brazil in 2009 have had on disease control in the country"Authors' replyEvaluation of the impact that the changes in tuberculosis treatment implemented in Brazil in 2009 have had on disease control in the countryHow Do You Know Which Health Care Effectiveness Research You Can Trust A Guide to Study Design for the PerplexedSegmented regression analysis of interrupted time series studies in medication use researchConducting interrupted time series analysis for single-and multiple-group comparisonsInterrupted time series regression for the evaluation of public health interventions a tutorialHow to obtain the confidence interval from a P value

[Article in English, Portuguese]
Ethel Leonor Maciel et al. J Bras Pneumol. 2018 May-Jun.
No abstract available

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References

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    1. Bernal JL, Cummins S, Gasparrini A. Interrupted time series regression for the evaluation of public health interventions a tutorial. Int J Epidemiol. 2017;46(1):348–355. doi: 10.1093/ije/dyw098. - DOI - PMC - PubMed
    1. Linden A. Conducting interrupted time-series analysis for single-and multiple-group comparisons. Stata J. 2015;15(2):480–500.