00:01
Hello, statisticians and training.
00:03
I know it's early in the process of you training and learning statistics, but i'm going to discuss right now how we might use statistics to determine the effectiveness of a new drug.
00:13
And i'm going to do this explanation by talking through something called a randomized comparative experiment.
00:31
And rather just talk through it, i'll draw you a picture along the way.
00:35
So imagine yourself in the near future working for a pharmaceutical company that has just developed a new drug to help migraine sufferers.
00:45
And in the development of this new drug, what they would have done along the way is they would have recruited patients for a drug study.
00:52
So let's say they've recruited 75 patients who suffer from migraines who've agreed to participate.
00:59
Well, what are they going to do with these 75 patients? notice i have the word comparative.
01:04
They're not just going to give all seven, the new drug and show that they've proved that their new drug provides relief from migraines, they're going to compare the new drug with perhaps the leading drug and then perhaps with a group that takes nothing at all.
01:19
So good statistical principles would tell the researchers to create three groups of patients.
01:26
Let's say that 25 patients form group one and group one takes the new drug treatment.
01:38
And then they take another random selection.
01:41
These are going to be randomly selected.
01:46
So randomness is used right here.
01:49
Pulling names out of a hat, for example.
01:52
Another group of 25 patients will take the perhaps leading drug that's already on the market...