And he persuaded himself that he could see, if you had a candle, you could see phlogiston or elemental fire being released by the candle. those confounding factors. DR. STEVE JONES: Yes, I think you're right.
kind of getting an investigation in these cases? Like what are the confounding factors preventing kind of the issues with law enforcement because it does seem like there's a discrepancy with, for example, missing white woman syndrome and how indigenous cases are investigated and reported on.
And we couldn't access a lot of the mountain areas to assess their population, which makes it really difficult. And it's hard, because many confounding factors in our estimates. So we try to use real robust methods to do this.
My wife was like, Danny, what are you doing? That can be a confounding variable.
So it gives you a certain challenge to see the world through that person's eyes and think about the things that would be challenging or confounding in a lot of ways and funny in a lot of ways. And that was really fortuitous to happen at the beginning of my writing process, because I knew already the book was going to be composed
The studies show that people are more likely to experience stress, especially where you sit in the open office. But there's a confounding factor of how an individual likes to do that type of work.
have an association with cancer risk. It's confounding . Confounding by indication, in that case, most likely. And other types of confounding .
It's confounding . Confounding by indication, in that case, most likely. And other types of confounding . But most of the times that we discuss bias, we do that to try to say that our study is protected.
Like if someone drinks a lot of alcohol, they might also eat way more high-calorie foods! These potential side influences are called confounding variables – factors that can distort the true relationship between the things you want to understand. Ideally, observational studies will measure and account for any confounding variables like this, but we don’t always know what the confounding variables are.
Remember, you have to detect these photons particle by particle. So there's a lot of confounding light in these experiments. This room has to be completely darkened for them to do the experiment.
was going to get. And one of the things that is confounding , ironic, maybe sad, is that when we Google something, or when we search for something on the internet, it takes us exactly to what we are looking for usually, and it doesn't allow us to go on
It's sort of the entire narrative. And I like the sort of confoundingness of it, like he drives a motorbike. Like, a middle-aged sort of dandy, fuddy-duddy gay guy who drives a motorbike.
And think about the 13 indictments two weeks ago that Mueller has made. So the notion is this culture piece is not only confounding , it actually does something more powerful. And the biggest industry to look at for this right now is pharmaceuticals.
The type of power we're talking about here is invisible and mysterious. And that's what I think makes it so confounding . That's what makes it difficult to talk about, to regulate, to protest, to argue over, to defend, to legislate, and on and on.
it has been discussed by many, many papers-- what do people say about confounding ? Every epidemiological paper in the discussion will say confounding is a problem with epidemiological studies. However, our study does not have that problem.
Yes? Could you briefly explain what confounding means? DR. IOANNIDIS: So confounding means that you have some exposure that is related both to the risk factor that you're interested to study and with the outcome that you're interested to study.
warm weather is indirectly leading to both. In this case, weather is a confounding variable, or a factor that influences the outcome of a study without being controlled for. These can blur what’s actually going on in the data, if scientists don’t measure and account for them.
more unique diseases and thank you for being more biodiverse but we're all going to die from it. So if different locations show us different things and we need to understand those different confounding variables. Um, we need complexity scientists who can do more of this modeling and we just need more everyday human beings just to
Now, this same experiment becomes incredibly confounding .
OK. So you know this notion about confounding , and you saw that slide with Albert Einstein, saying compounding is the eighth wonder of the world.
But in fact, it's very likely that very, very few of these medications affect cancer risk. What is happening here is we're facing big data with lots of confounding . Even if you run the very best analysis, you will see lots of that confounding coming to the surface and giving you signals right and left.
Because we did a very good job in whatever way. Yes? Could you briefly explain what confounding means? DR. IOANNIDIS: So confounding means that you have some exposure that is related both to the risk factor that you're interested to study
And then he wants to decide what happens to space-time if I set up this confounding , but somehow very simple scenario.
These potential side influences are called confounding variables – factors that can distort the true relationship between the things you want to understand. Ideally, observational studies will measure and account for any confounding variables like this, but we don’t always know what the confounding variables are. And that’s a big part of why science builds on evidence from many different types of studies.
And much of it comes from technically well done things from people who don't understand things like confounding and lead time bias
From your description, you are well-versed in sort of looking for these confounding things coming through old school methods of epidemiology.
The studies show that people are more likely to experience stress, especially where you sit in the open office. same type of work, but the individual difference is sort of also a confounding factor in it.
What is happening here is we're facing big data with lots of confounding . Even if you run the very best analysis, you will see lots of that confounding coming to the surface and giving you signals right and left. Each of them could be a publishable paper.
However, even when people are discussing about bias-- so for example, "confounding " is the most common bias term in the literature, and since the late 1970s it has been discussed by many, many papers-- what do people say about confounding ? Every epidemiological paper in the discussion will say confounding is a problem with epidemiological studies.
The two groups are generated by chance, and therefore they should be similar in terms of whatever other characteristics they have. If they're not similar, then we have the potential for confounding that we were mentioning earlier. So much of the time, what we get is what I would call excess significance bias.
For example, some studies have shown a positive correlation between personal health and visits to the beach. But it's hard to know if beaches make people healthier, if healthy people are more likely to go to the beach, or if there's some third confounding variable, like the level of wealth, that results in both better health and more beach visits.
It's difficult to imagine a simpler experiment, or, as we'll discover over the course of this book, one more confounding .
And he persuaded himself that he could see, if you had a candle, you could see phlogiston or elemental fire being released by the candle. from politics to the extent that when we have, for instance, medical research, scientists often now will kind of correct for confounding factors, which
It turns out when they looked at the lowest performing therapists, the lowest performing therapists, they found something very confounding .
the way it was necessarily analyzed in the original studies, but in bulk to deal with a lot of the confounding issues
There's no papers discussing that bias. However, even when people are discussing about bias-- so for example, "confounding " is the most common bias term in the literature, and since the late 1970s it has been discussed by many, many papers-- what do people say about confounding ?