Bigger, Stronger Muscles: High Reps versus Low Reps(Anthony Colpo)
Posted: 16 July 2012 05:59 AM   [ Ignore ]  
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Nice overview by Anthony Colpo on latest high/low reps for strength/hypertrophy study
http://anthonycolpo.com/?p=3739

interesting that Anthony concentrate more on multiple vs single reps differences while leaving the issues of almost same hypertrophy for high/low reps alone

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Posted: 16 July 2012 01:35 PM   [ Ignore ]   [ # 1 ]  
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He has an entertaining way of writing. What was the p-value for the difference between 3x80% and 3x30% anyway? Wasn’t it pretty low?

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Posted: 17 July 2012 03:36 AM   [ Ignore ]   [ # 2 ]  
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Population population population.

Trained vs untrained.

He missed the most important aspect.

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Posted: 17 July 2012 10:48 AM   [ Ignore ]   [ # 3 ]  
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Karky - 16 July 2012 01:35 PM

He has an entertaining way of writing.

Indeed

Karky - 16 July 2012 01:35 PM

What was the p-value for the difference between 3x80% and 3x30% anyway? Wasn’t it pretty low?

I don’t find the study, but I guess the difference was low

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Posted: 17 July 2012 10:48 AM   [ Ignore ]   [ # 4 ]  
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Anoop - 17 July 2012 03:36 AM

Population population population.

Trained vs untrained.

He missed the most important aspect.

Yeah, this too
smile

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Posted: 17 July 2012 12:32 PM   [ Ignore ]   [ # 5 ]  
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here is an article about the same study which talks about the p value: http://bretcontreras.com/2012/06/powerful-stats/#comment-24058

I have some comments here. I will write a review about it.The p value doesn’t say anything meaningful.

I have an article on it for almost a year and just needs to finish it and get it published.

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Posted: 17 July 2012 08:47 PM   [ Ignore ]   [ # 6 ]  
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The p-value doesn’t say anything meaningful? You mean that you need confidence intervals as well, if so I agree. But saying that anything below 0.05 is good, proven this is how it works and anything above is “myth debunked” is simply wrong. A p-value of 0.05 is abritrarily chosen.

Or do you mean that you need the power as well? This is pretty easy to calculate.

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Posted: 18 July 2012 09:53 PM   [ Ignore ]   [ # 7 ]  
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I mean you don’t need p values if you have confidence intervals. People report p is either doing it because of the force of habit or they do not know much about CI.

There are lots of problems with p value and the arbitrary value is just one of them.

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Posted: 19 July 2012 06:38 AM   [ Ignore ]   [ # 8 ]  
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yeah, I agree that the CI is much, much better. Wouldn’t say the p-value is uneccesary, though. It provides information about the result of the statistical test. However, it should be reported together with the CI and the power.

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