https://communities.sas.com/t5/Statistical-Procedures/Treat-outliers-amp-missing-values-in-time-trends-using/m-p/626090#M30127 <P>When analyzing the monthly incidence rate (count of episodes/person-years) using interrupted time series via negative binomial regression, there are some months wherein we don't have an episode of the disease. How should we tackle that, should we impute 0 for the count of an episode for that respective month and some constant value for person-years so that the incidence rate becomes 0 (0/constant).&nbsp;</P><P>&nbsp;</P><P>Also, how to treat outliers in the monthly incidence rate data analyzed using the above approach: Interrupted Time Series using Negative Binomial Regression.</P> Thu, 20 Feb 2020 10:16:38 GMT Shubham12t 2020-02-20T10:16:38Z https://communities.sas.com/t5/Statistical-Procedures/Treat-outliers-amp-missing-values-in-time-trends-using/m-p/626090#M30127 <P>When analyzing the monthly incidence rate (count of episodes/person-years) using interrupted time series via negative binomial regression, there are some months wherein we don't have an episode of the disease. How should we tackle that, should we impute 0 for the count of an episode for that respective month and some constant value for person-years so that the incidence rate becomes 0 (0/constant).&nbsp;</P><P>&nbsp;</P><P>Also, how to treat outliers in the monthly incidence rate data analyzed using the above approach: Interrupted Time Series using Negative Binomial Regression.</P> Thu, 20 Feb 2020 10:16:38 GMT https://communities.sas.com/t5/Statistical-Procedures/Treat-outliers-amp-missing-values-in-time-trends-using/m-p/626090#M30127 Shubham12t 2020-02-20T10:16:38Z