1 00:00:01,320 --> 00:00:02,640 Hi everyone, and welcome 2 00:00:02,640 --> 00:00:05,970 to this third module of Epidemiology 2. 3 00:00:05,970 --> 00:00:08,430 This module has two different objectives. 4 00:00:08,430 --> 00:00:11,430 Our first objective is to review those measures 5 00:00:11,430 --> 00:00:13,080 of disease frequency, 6 00:00:13,080 --> 00:00:16,620 so things like incidents, prevalence, and odds. 7 00:00:16,620 --> 00:00:19,530 We're also going to extend our conversation 8 00:00:19,530 --> 00:00:21,330 about incidents to start thinking 9 00:00:21,330 --> 00:00:26,330 about survival analysis or time until an event occurs. 10 00:00:27,780 --> 00:00:29,520 The other thing that we're going to do 11 00:00:29,520 --> 00:00:33,120 in this module is to review statistical inference. 12 00:00:33,120 --> 00:00:36,420 This isn't in our book chapter, but it's a good thing 13 00:00:36,420 --> 00:00:38,490 for us to review before we move forward 14 00:00:38,490 --> 00:00:42,330 and talk about measures of association in the next module. 15 00:00:42,330 --> 00:00:45,540 Statistical inference are those biostat tests, 16 00:00:45,540 --> 00:00:48,870 like t-test and chi square and ANOVA 17 00:00:48,870 --> 00:00:52,156 and you are going to see this in your SPSS lab 18 00:00:52,156 --> 00:00:56,610 and also in some of the learning materials below. 19 00:00:56,610 --> 00:00:59,220 If you have any questions, please don't hesitate 20 00:00:59,220 --> 00:01:02,520 to reach out to me via email or on Yellowdig. 21 00:01:02,520 --> 00:01:04,953 Take care and I'll see you in the next module.