-
Notifications
You must be signed in to change notification settings - Fork 19
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
1 changed file
with
61 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,61 @@ | ||
--- | ||
layout: post | ||
title: "Pre-registered research" | ||
description: "" | ||
category: [Research] | ||
tags: [clinical trials,pre-registered research] | ||
--- | ||
|
||
{% include JB/setup %} | ||
|
||
[Clinical trials have had a pre-registration protocol](https://clinicaltrials.gov/ct2/manage-recs/background) | ||
for a while now. Basically, if you want to run a clinical trial, you have to | ||
specify how you will conduct your research including how you will analyze it | ||
once the data have been collected. | ||
This pre-registration attempts to avoid so-called [p-hacking](https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1002106) | ||
and the [publication bias](https://www.sciencemag.org/news/2018/09/more-and-more-scientists-are-preregistering-their-studies-should-you) that results. | ||
P-hacking is a term for the situation where a researcher | ||
(intentionally or unintentionally) explores (mines) their data to determine what relationships result | ||
in a statistically significant result and then they publish those results. | ||
By requiring you to specify in advance how analyses will be performed, | ||
you cannot (intentionally or unintentionally) p-hack. | ||
|
||
Unfortunately, pre-registration of research is not a common practice, | ||
but more and more options are available for pre-registration. | ||
Today, [PLOS ONE](https://journals.plos.org/plosone/) announced that the | ||
will provide a mechanism for [Registered Reports](https://blogs.plos.org/plos/2020/01/submit-your-registered-report-to-plos-one/). | ||
Like many pre-registration options, there are two stages to the PLOS ONE | ||
Registered Report Process: | ||
1) Registered Report Protocol and | ||
2) Registered Report Research Article. | ||
In the Registered Report Protocol, the research writes up what they plan to do | ||
and this undergoes peer-review the way a typical article would except that there | ||
are no results. | ||
Once the Registered Report Protocol has been approved, | ||
the researcher conducts their research according to the Registered Report Protocol. | ||
Once completed, a Research Article is submitted and its adherence to the | ||
Registered Report Protocol is evaluated through peer-review. | ||
In this second step, the only thing that matters is how well the actual research | ||
followed the protocol. | ||
|
||
Now, this is still not a fool-proof system. | ||
One way to game the system is to pre-register lots and lots of possibilities | ||
and then only follow-up on the ones that worked. | ||
I think there should be a limit to how much you can pre-register or, perhaps, | ||
you get credit for writing final reports of pre-registered studies and you can | ||
use these credits to write more pre-registrations. | ||
Also somebody could keep track of pre-registered | ||
studies with no final report. | ||
|
||
Another way to game the system is to try lots of things (without pre-registering), | ||
registering the things that worked, and then publishing those things. | ||
We can eliminate this if only pre-registered studies would be taken seriously. | ||
Any other ideas? | ||
|
||
Of course, most research is not a straight path. That is, things come up that | ||
you have to deal with. Ideally this is spelled out in the pre-registration, | ||
but what if it isn't. | ||
Obviously, the adherence to the protocol will likely never be 100% but the | ||
peer-reviewers in the second step above should determine whether the researchers | ||
made a good-faith effort to abide by their registered protocol. | ||
|