1 00:00:00,570 --> 00:00:03,450 Hi, everyone, and welcome to module nine. 2 00:00:03,450 --> 00:00:07,260 This module starts our discussion of effect modification, 3 00:00:07,260 --> 00:00:10,980 which you may have heard called interaction or moderation. 4 00:00:10,980 --> 00:00:13,350 You'll hear those terms used interchangeably 5 00:00:13,350 --> 00:00:16,560 throughout this class and in the field of public health. 6 00:00:16,560 --> 00:00:18,270 We've actually been talking about 7 00:00:18,270 --> 00:00:22,050 threats to internal validity way back since module five. 8 00:00:22,050 --> 00:00:23,820 We started out with bias, 9 00:00:23,820 --> 00:00:27,270 then we spent three modules talking about confounding, 10 00:00:27,270 --> 00:00:29,730 and now we're going to spend the next three modules 11 00:00:29,730 --> 00:00:33,900 talking about effect modification using the same structure. 12 00:00:33,900 --> 00:00:37,140 We'll start here in module nine going over the theoretical 13 00:00:37,140 --> 00:00:40,650 and conceptual framework of effect modification. 14 00:00:40,650 --> 00:00:44,820 In the next module, we'll extend that into SPSS 15 00:00:44,820 --> 00:00:46,650 and the statistical techniques 16 00:00:46,650 --> 00:00:50,400 that you use to evaluate effect modification. 17 00:00:50,400 --> 00:00:53,460 Then in module 11, we'll look at interpreting the results 18 00:00:53,460 --> 00:00:57,000 of effect modification in the public health literature. 19 00:00:57,000 --> 00:01:00,390 Effect modification and confounding are similar in concept, 20 00:01:00,390 --> 00:01:03,150 but they're actually very different in practice. 21 00:01:03,150 --> 00:01:05,580 It's a very good idea to read the section 22 00:01:05,580 --> 00:01:08,287 on interaction from your Epi 1 textbook, 23 00:01:08,287 --> 00:01:11,160 "Gordis Epidemiology," before you get into 24 00:01:11,160 --> 00:01:12,630 your current text. 25 00:01:12,630 --> 00:01:15,630 As always, please reach out if you have any questions. 26 00:01:15,630 --> 00:01:17,973 We'll see you in the next module, take care.