video1.0<iframe src="https://www.loom.com/embed/d2f635bdbfaf45e09fda904c4ce5911a" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/d2f635bdbfaf45e09fda904c4ce5911a-00001.gif1110.3In this video, I discuss the benefits of using pooled Poisson regression and random effects in statistical modeling. I explain how these methods can help in analyzing data and making accurate predictions. I also highlight the importance of considering standard errors and parameter estimates when interpreting the results. No specific action is requested from the viewers, but the video provides valuable insights into the nuances of statistical modeling.