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What does "nested" mean?

 
 
Reply Mon 9 Apr, 2012 08:54 am

Context:

Background
Receiving a diagnosis of cancer is a traumatic experience that may trigger immediate adverse health consequences beyond the effects of the disease or treatment.

Methods
Using Poisson and negative binomial regression models, we conducted a historical cohort study involving 6,073,240 Swedes to examine the associations between a cancer diagnosis and the immediate risk of suicide or death from cardiovascular causes from 1991 through 2006. To adjust for unmeasured confounders, we also performed a nested, self-matched case-crossover analysis among all patients with cancer who died from suicide or cardiovascular diseases in the cohort.

More:
http://www.nejm.org/action/clickThrough?id=3321&url=%2Fdoi%2Ffull%2F10.1056%2FNEJMoa1110307%3Fquery%3Dfeatured_home&loc=%2F%3Ft%3D1333981626734%26
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Type: Question • Score: 1 • Views: 2,130 • Replies: 2
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View best answer, chosen by oristarA
JPB
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Reply Mon 9 Apr, 2012 09:20 am
@oristarA,
A nested design is one where the statistical analysis model treats the effects as an inseparable component of the other effects. In this case they're saying that the main effects of suicide and cardiovascular diseases near the time of diagnosis were confounded (inseparable) from the likelihood of committing suicide or dieing from cardiovascular disease at any time during the course of the disease. A simpler example of a nested design is where you are interested in whether boys or girls are more likely to show a particular trait or if it's more prevalent in one area of the country vs another. In this case gender and location would be your main effects but you'd also have to account for the fact that you can't separate gender and location into distinct groups so you'd add "gender nested within location" (written gender(location)) in the analysis model.
oristarA
 
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Reply Mon 9 Apr, 2012 11:50 pm
@JPB,
JPB wrote:

A nested design is one where the statistical analysis model treats the effects as an inseparable component of the other effects. In this case they're saying that the main effects of suicide and cardiovascular diseases near the time of diagnosis were confounded (inseparable) from the likelihood of committing suicide or dieing from cardiovascular disease at any time during the course of the disease. A simpler example of a nested design is where you are interested in whether boys or girls are more likely to show a particular trait or if it's more prevalent in one area of the country vs another. In this case gender and location would be your main effects but you'd also have to account for the fact that you can't separate gender and location into distinct groups so you'd add "gender nested within location" (written gender(location)) in the analysis model.


Excellent!
It's crystal clear.
Thank you.
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