Everything Hertz

By Dan QuintanaScience Social Sciences Medicine Health & Fitness

Everything Hertz episodes

January 20, 201735: A manifesto for reproducible science
Dan and James discuss a new paper in the inaugural issue of Nature Human Behaviour, "A manifesto for reproducible science".
Some of the topics covered:
What's a manfesto for reproducibility doing in a Nature group journal?
Registered reports
The importance of incentives to actually make change happen
What people should report vs. what they actually report
A common pitfall of published meta-analyses
The reliance of metrics in hiring decisions and the impact of open science practices
Tone police
How do we transition to open science practices?
SSRN preprints being bought by Elsevier
Authors getting gouged by copyediting costs (and solutions)
Does being 'double-blind' extend to doing your analysis blind
Trial monitoring is expensive
Links
The paper
http://www.nature.com/articles/s41562-016-0021
Our paper on reporting standards in heart rate variability
http://www.nature.com/tp/journal/v6/n5/full/tp201673a.html
Equator guidelines
http://www.equator-network.org
Facebook page
https://www.facebook.com/everythinghertzpodcast/
Twitter account
https://www.twitter.com/hertzpodcast
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51 min
December 22, 201634: E-health (with Robin Kok)
Dan and James have their very first guest! For this episode they're joined by Robin Kok (University of Southern Denmark) to talk e-health. They also cover a recent blog post that inadvertently highlighted questionable research practices in psychology.
Some of the topics covered:
The grad student who never said no
Postdoc work/life balance
Questionable research practices
Torturing data (with rattan sticks)
Using the GRIM test to assess data accuracy
Unpaid internships
Saying 'yes' to opportunities that come your way
The Myers-Briggs test is rubbish
What is e-health?
Are e-health interventions efficacious?
e-health intervention implementation issues
The poor quality of psych intervention smartphone apps
Using "Facebook Live" to broadcast conference presentations
The future of e-health
Links
Robin's twitter account
https://www.twitter.com/robinnkok
"The grad student who never said no" blog post
http://www.brianwansink.com/phd-types-only/the-grad-student-who-never-said-no
The Buzzfeed quiz on 'Which Disney princess are you?' (James is Belle)
https://www.buzzfeed.com/mccarricksean/which-disney-princes-are-you?utm_term=.riNJn5DbW#.ci9gL3Xq8
XKXD TornadoGuard comic
https://xkcd.com/937/
The efficacy of e-health interventions
http://onlinelibrary.wiley.com/doi/10.1002/wps.20151/abstract
Wild West eHealth: Time to Hold our Horses?
www.ehps.net/ehp/index.php/contents/article/download/765/pdf_44
Smartphone app interventions
http://www.jmir.org/2013/11/e247/
Facebook page
https://www.facebook.com/everythinghertzpodcast/
Twitter account
https://www.twitter.com/hertzpodcast
Special Guest: Robin Kok.
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1 hr 1 min
December 16, 201633: Zombie theories
Dan and James discuss Zombie theories, which are scientific ideas that continue to live on in the absence of evidence. Why do these ideas persist and how do we kill them for good?
Some of the topics covered:
Why do some ideas live on?
Zombie theories in heart rate variability research
Reasons why zombie theories proliferate more in the social sciences
Attractiveness and simplicity
Theories become brands
Oxytocin zombie theories
The power of shaming
Ideas are corrected more quickly in smaller fields
James' new interest in Cow ECG
People using science as a weapon to open up hip pockets
How do we kill these zombies for good?
Manual vs. automated PubMed comments
What's the impact of paper retraction on future citations?
How do you correct the scientific record?
Links
Facebook page
https://www.facebook.com/everythinghertzpodcast/
Twitter account
https://www.twitter.com/hertzpodcast
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44 min
December 01, 201632: Can worrying about getting sick make you sicker?
Dan and James discuss a new population study that linked health anxiety data with future heart disease.
Some of the topics covered:
Web MD and health anxiety
How would healthy anxiety contribute to heart disease?
A summary of the study
Ischemic heart disease = coronary artery disease
Do people with healthy anxiety take better care of thier health?
Don't be fooled by percentage increase of risk for something that's rare
There are some things you can't just randomize
The pros and cons of big data collection
Links
The paper
http://bmjopen.bmj.com/content/6/11/e012914.full
Facebook page
https://www.facebook.com/everythinghertzpodcast/
Twitter account
https://www.twitter.com/hertzpodcast
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44 min
November 16, 201631: Discover your psychiatric risk with this one weird trick
Dan and James discuss a recent study of over one million Swedish men that found that higher resting heart rate late adolescence was associated with an increased risk for subsequent psychiatric illness.
Some of the topics covered:
How did these authors get such an enormous dataset?
The benefits of testing so many people
What we liked about the study (hint: lots of things)
Measuring cardiovascular efficiency using a cycle ergometer
The pitfalls of self-reported physical activity
How the media covered this study
Contextual factors - does the testing environment induce anxiety?
Co-morbidity in psychiatry
What would James do with 200,000 ECGs strips?
Links
The paper
http://jamanetwork.com/journals/jamapsychiatry/fullarticle/2569454
The Daily Mail story
http://www.dailymail.co.uk/health/article-3875062/Why-heartbeat-teenager-affect-later-life-Boys-high-blood-pressure-risk-mental-health-problems-adults.html?linkId=30382089
Facebook page
https://www.facebook.com/everythinghertzpodcast/
Twitter account
https://www.twitter.com
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55 min
November 02, 2016 30: Authorship
Dan and James discuss authorship in the biomedical sciences
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50 min
October 16, 201629: Learning new skills
Dan and James talk about how they learn new things.
Some of the topics discussed:
Internet memes
Consolidating old ideas rather than learning new ones
Why learn a new skill when you just get someone else to do it?
A lesson of not having a good understanding statistical software...
James and Dan butt heads about meta-analysis (again)
Learning new things is interesting
How did people learn things before the internet?
How to follow things on Twitter without being on Twitter
Links
Bayes factor paper with 'primer' paper matrix
https://alexanderetz.com/2016/02/07/understanding-bayes-how-to-become-a-bayesian-in-eight-easy-steps/
Facebook page
https://www.facebook.com/everythinghertzpodcast/
Twitter account
https://www.twitter.com/hertzpodcast
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49 min
September 30, 201628: Positive developments in biomedical science
Pre-registration, p-hacking, power, protocols. All these concepts are pretty mainstream in 2016 but hardly discussed 5 years ago. In this episode, James and Dan talk about these ideas and other developments in biomedical science.
Some of the topics discussed:
James loves blinded reviews, scihub
Dan loves protocols, learning stats through social media, reproducible science
Links
The COMPARE initiative
http://compare-trials.org
"Give me the F-ing PDF" Chrome extension
https://chrome.google.com/webstore/detail/give-me-the-f-ing-pdf/iekjpaipocoglamgpjoehfdemffdmami/related
Facebook page
https://www.facebook.com/everythinghertzpodcast/
Twitter account
https://www.twitter.com/hertzpodcast
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50 min
September 23, 201627: Complaints and grievances
Dan and James discuss complaints and grievances. Stay tuned for part 2 where things get positive.
Some of the topics discussed:
Conflicts of interest
Criticism in psychology
Why does there seem to be so much bad blood in psychology?
Retracted papers: fraud or sloppiness?
Authors not acknowledging your peer-review remarks
The short-term nature of research
The benefits of 'centers of excellence'
Links
The 'vibe of the thing' scene from 'The Castle' (Great Aussie film)
https://www.youtube.com/watch?v=wJuXIq7OazQ
Facebook page
https://www.facebook.com/everythinghertzpodcast/
Twitter account
https://www.twitter.com
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53 min
September 09, 201626: Interpreting effect sizes
When interpreting the magnitude of group differences using effect sizes, researchers often rely on Cohen's guidelines for small, medium, and large effects. However, Cohen originally proposed these guidelines as a fall back when the distribution of effect sizes was unknown. Despite the hundreds of available studies comparing heart rate variability (HRV), Cohen's guidelines are still used for interpretation. In this episode, Dan discusses his recent preprint describing an effect size distribution analysis on HRV studies.
Some of the topics discussed:
A summary of Dan's preprint
What is an effect size?
What can an effect size distribution tell us?
How effect sizes can inform study planning
How close are Cohen's guidelines to the distribution of HRV effect sizes?
What samples sizes are appropriate?
Pre-publication review vs. post-publication review
Statcheck
Links
The preprint article
http://www.biorxiv.org/content/early/2016/08/31/072660
Statcheck
https://mbnuijten.com/statcheck/
Facebook page
https://www.facebook.com/everythinghertzpodcast/
Twitter account
https://www.twitter.com
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46 min