Posts Tagged ‘ power ’

Questions About the Size and Power of a Test

July 16, 2015
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Questions About the Size and Power of a Test

Osman, a reader of this blog, sent a comment in relation to my recent post on the effects of temporal aggregation on t-tests, and the like. Rather than just bury it, with a short response, in the "Comments" section of that post, I thought I'd give it p...

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Spot the power howler: α = ß?

July 15, 2015
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Spot the power howler: α = ß?

Spot the fallacy! The power of a test is the probability of correctly rejecting the null hypothesis. Write it as 1 – β. So, the probability of incorrectly rejecting the null hypothesis is β. But the probability of incorrectly rejecting the null is α (the type 1 error probability). So α = β. I’ve actually […]

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The Econometrics of Temporal Aggregation – VI – Tests of Linear Restrictions

June 29, 2015
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The Econometrics of Temporal Aggregation – VI – Tests of Linear Restrictions

This post is one of several related posts. The previous ones can be found here, here, here, here and here. These posts are based on Giles (2014).Many of the statistical tests that we perform routinely in econometrics can be affected by the level o...

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Worrying About my Cholesterol Level

June 10, 2015
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Worrying About my Cholesterol Level

The headline, "Don't Get Wrong Idea About Cholesterol", caught my attention in the 3 May, 2015 Times-Colonist newspaper here in Victoria, B.C.. In fact the article came from a syndicated column, published about a week earlier. No matter - it's always a...

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Simulation-based power analysis using proportional odds logistic regression

May 22, 2015
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Simulation-based power analysis using proportional odds logistic regression

Consider planning a clinicial trial where patients are randomized in permuted blocks of size four to either a 'control' or 'treatment' group. The outcome is measured on an 11-point ordinal scale (e.g., the numerical rating scale for pain). It may be reasonable to evaluate the results of this trial using a proportional odds cumulative logit […]

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take those hats off [from R]!

May 4, 2015
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take those hats off [from R]!

This is presumably obvious to most if not all R programmers, but I became aware today of a hugely (?) delaying tactic in my R codes. I was working with Jean-Michel and Natesh [who are visiting at the moment] and when coding an MCMC run I was telling them that I usually preferred to code […]

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Reading for the Merry Month of May

May 1, 2015
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Reading for the Merry Month of May

While you're dancing around the Maypole (or whatever else it is that you get up to), my recommendations are:Claeskens, G., J. Magnus, A. Vasnev, and W. Wang, 2014. The forecast combination puzzle: A simple theoretical explanation. Tinbergen Institute D...

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Stephen Senn: Fisher’s Alternative to the Alternative

February 19, 2015
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Stephen Senn: Fisher’s Alternative to the Alternative

As part of the week of recognizing R.A.Fisher (February 17, 1890 – July 29, 1962), I reblog Senn from 3 years ago.   ‘Fisher’s alternative to the alternative’ By: Stephen Senn [2012 marked] the 50th anniversary of RA Fisher’s death. It is a good excuse, I think, to draw attention to an aspect of his philosophy of […]

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2015 Saturday Night Brainstorming and Task Forces: (4th draft)

February 1, 2015
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2015 Saturday Night Brainstorming and Task Forces: (4th draft)

Saturday Night Brainstorming: The TFSI on NHST–part reblog from here and here, with a substantial 2015 update! Each year leaders of the movement to “reform” statistical methodology in psychology, social science, and other areas of applied statistics get together around this time for a brainstorming session. They review the latest from the Task Force on Statistical […]

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No headache power (for Deirdre)

January 3, 2015
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No headache power (for Deirdre)

Deirdre McCloskey’s comment leads me to try to give a “no headache” treatment of some key points about the power of a statistical test. (Trigger warning: formal stat people may dislike the informality of my exercise.) We all know that for a given test, as the probability of a type 1 error goes down the probability of a type 2 […]

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