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Why Randomized Interventional Studies

Overview of attention for article published in Journal of Medicine & Philosophy, July 2013
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Title
Why Randomized Interventional Studies
Published in
Journal of Medicine & Philosophy, July 2013
DOI 10.1093/jmp/jht028
Pubmed ID
Authors

Adam La Caze

Abstract

A number of arguments have shown that randomization is not essential in experimental design. Scientific conclusions can be drawn on data from experimental designs that do not involve randomization. John Worrall has recently taken proponents of randomized studies to task for suggesting otherwise. In doing so, however, Worrall makes an additional claim: randomized interventional studies are epistemologically equivalent to observational studies, providing the experimental groups are comparable according to background knowledge. I argue against this claim. In the context of testing the efficacy of drug therapies, well-designed interventional studies are epistemologically superior to well-designed observational studies because they have the capacity to avoid a type of selection bias. Although arguments for interventional studies are present in the medical literature, these arguments are too often presented as an argument for randomization. Randomization in interventional studies is defended on Bayesian grounds.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 13%
Unknown 13 87%

Demographic breakdown

Readers by professional status Count As %
Other 3 20%
Student > Ph. D. Student 3 20%
Student > Master 2 13%
Lecturer > Senior Lecturer 1 7%
Student > Bachelor 1 7%
Other 3 20%
Unknown 2 13%
Readers by discipline Count As %
Philosophy 5 33%
Medicine and Dentistry 3 20%
Mathematics 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Nursing and Health Professions 1 7%
Other 1 7%
Unknown 3 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 July 2013.
All research outputs
#17,286,645
of 25,377,790 outputs
Outputs from Journal of Medicine & Philosophy
#415
of 587 outputs
Outputs of similar age
#130,647
of 206,798 outputs
Outputs of similar age from Journal of Medicine & Philosophy
#10
of 13 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 587 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 206,798 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.