1
00:00:01,890 --> 00:00:04,110
Hi, all and welcome to module seven.

2
00:00:04,110 --> 00:00:05,640
You've made it about halfway through

3
00:00:05,640 --> 00:00:07,980
the content of Epi2.

4
00:00:07,980 --> 00:00:10,890
In the last module, we
reintroduced confounding.

5
00:00:10,890 --> 00:00:13,050
And a lot of what you saw in that module

6
00:00:13,050 --> 00:00:16,650
should hopefully have
felt familiar from Epi1.

7
00:00:16,650 --> 00:00:19,410
In this module, we're going
to build on that discussion

8
00:00:19,410 --> 00:00:20,880
and start talking about the ways

9
00:00:20,880 --> 00:00:23,040
that we control for confounding.

10
00:00:23,040 --> 00:00:24,660
We started this in Epi1

11
00:00:24,660 --> 00:00:27,180
when we talked about stratification,

12
00:00:27,180 --> 00:00:28,200
and if you remember,

13
00:00:28,200 --> 00:00:31,080
we calculated stratum-specific
measures of risk,

14
00:00:31,080 --> 00:00:32,970
and then compared those to understand

15
00:00:32,970 --> 00:00:34,503
if confounding was occurring.

16
00:00:35,580 --> 00:00:37,500
In this module, we extend that

17
00:00:37,500 --> 00:00:39,660
to talk about controlling for confounding

18
00:00:39,660 --> 00:00:42,210
using multiple linear regression.

19
00:00:42,210 --> 00:00:44,670
This is an advanced statistical technique

20
00:00:44,670 --> 00:00:45,780
that allows you to control

21
00:00:45,780 --> 00:00:49,170
for multiple confounders simultaneously.

22
00:00:49,170 --> 00:00:51,240
To get to multiple linear regression,

23
00:00:51,240 --> 00:00:52,470
we first need to learn about

24
00:00:52,470 --> 00:00:55,230
simple linear regression and correlation,

25
00:00:55,230 --> 00:00:57,840
which is where this module starts.

26
00:00:57,840 --> 00:01:00,420
There is a lot of
information in this module,

27
00:01:00,420 --> 00:01:03,960
a lot to read, a lot to
watch, and a lot to absorb,

28
00:01:03,960 --> 00:01:06,720
so please give yourself plenty
of time for this module.

29
00:01:06,720 --> 00:01:08,100
It's not one that you wanna wait

30
00:01:08,100 --> 00:01:10,620
for the last minute to get started on.

31
00:01:10,620 --> 00:01:13,140
You'll also be learning how
to apply these techniques,

32
00:01:13,140 --> 00:01:16,110
possibly for the first time, in SPSS.

33
00:01:16,110 --> 00:01:18,600
So again, give yourself some time to learn

34
00:01:18,600 --> 00:01:20,790
and please reach out with questions.

35
00:01:20,790 --> 00:01:24,600
Work with each other on
Yellowdig, @ tag me or your TA,

36
00:01:24,600 --> 00:01:27,000
or send us an email if you get stuck.

37
00:01:27,000 --> 00:01:29,300
Take care and I'll see
you in the next module.