1 00:00:01,770 --> 00:00:04,260 Hello, and welcome to Module 6. 2 00:00:04,260 --> 00:00:06,810 In this module, we will continue our discussion 3 00:00:06,810 --> 00:00:09,060 of threats to internal validity. 4 00:00:09,060 --> 00:00:11,250 We're going to start talking about confounding, 5 00:00:11,250 --> 00:00:13,140 which is actually one of my favorite parts 6 00:00:13,140 --> 00:00:15,540 of EPI methods to think about. 7 00:00:15,540 --> 00:00:17,460 This is the first of three modules 8 00:00:17,460 --> 00:00:19,200 in which we'll discuss confounding, 9 00:00:19,200 --> 00:00:22,260 getting increasingly complex as we go. 10 00:00:22,260 --> 00:00:24,090 You might remember back to your discussion 11 00:00:24,090 --> 00:00:25,770 of confounding in EPI I, 12 00:00:25,770 --> 00:00:28,380 where you talked about how we're able to control 13 00:00:28,380 --> 00:00:33,000 or adjust for confounding in the analysis phase of a study. 14 00:00:33,000 --> 00:00:35,430 In EPI I, we talked about adjusting 15 00:00:35,430 --> 00:00:39,270 and controlling for confounding in terms of stratification. 16 00:00:39,270 --> 00:00:41,190 However, there are more advanced methods 17 00:00:41,190 --> 00:00:42,900 involving linear regression 18 00:00:42,900 --> 00:00:46,050 that we'll talk about starting in the next module. 19 00:00:46,050 --> 00:00:48,000 Make sure that you're feeling really comfortable 20 00:00:48,000 --> 00:00:50,520 and solid with the information in this module 21 00:00:50,520 --> 00:00:52,350 because we're going to keep building on it 22 00:00:52,350 --> 00:00:54,420 for the next few modules. 23 00:00:54,420 --> 00:00:56,310 So if you have questions about what it means 24 00:00:56,310 --> 00:00:59,700 to be a confounder or some of the basics of adjusting, 25 00:00:59,700 --> 00:01:01,320 please reach out to me or Itha 26 00:01:01,320 --> 00:01:04,383 before we move on to regression in the next model.