Content tagged as 'Academic'

Here is a list of all the content that has been tagged as academic.

Sex differences

Remember the whole Google Memo thing that happened a hundred years ago? Its central argument (as far as I could tell) was that the large male to female sex ratios we observe in Tech can be reasonably explained by small differences in the sex-specific probability distributions of innate characteristics. Thus Google’s attempts to increase diversity were silly at best, perhaps harmful or unjust, and largely due to a culture of political correctness that was oppressive to “conservative viewpoints”.

Response Heterogeneity

A colleague in food science recently sent me a narrative review outlining some of the challenges in their field. One of these was “extensive heterogeneity in the response to increased intake [of flavonoids]”. So-called response heterogeneity is often highlighted to justify the need for precision medicine, but there is a problem with this: the studies that are used to demonstrate response heterogeneity simply don’t.

Getting an interview

To get a job, you have to get an interview. Who knows what will happen at that point, but securing an interview is at least partly in your own hands. Having just finished shortlisting the applicants to a postdoctoral research post I recently advertised, here are my thoughts on how to get your foot further in the door. None of this is original. It’s just fresh on my mind.

In Defense of DAGs

Professors Nancy Krieger (NK) and George Davey Smith (GDS) recently published an editorial in the IJE titled The tale wagged by the DAG: broadening the scope of causal inference and explanation for epidemiology. In it, they argue that causal inference in epidemiology is dominated by an approach characterised by counterfactuals (or potential outcomes) and directed acyclic graphs (DAGs); and that this hegemony is limiting the scope of our field, and preventing us from adopting a more useful, pluralistic view of causality.

Your science is justified by the question, not the answer

Registration of clinical trials, prior to any patient recruitment, is now common. Though trial registrations often omit the important details regarding their proposed analyses (despite advice to the contrary), most trialists seem to agree, at least in principle, that you should transparently describe your plans for clinical trial data before they are collected. Unfortunately, this remains a foreign concept in other areas of clinical and public health research.

Upcoming R workshop

Cause vs. Consequence

I have, for some time, wanted to respond to Sandro Galea’s essay on a Consequentialist Epidemiology, published in 2013 (!) in the American Journal of Epidemiology. It is hard to argue against the importance of consequentialism for academic epidemiology. It is equally hard to dismiss Galea’s concerns about our lack of influence with funders and policy makers. However, my views beyond this diverge from Professor Galea’s, and in the spirit of his “provocation,” I would like to respectfully offer an alternate perspective.

Stata Workshop (2016)

The perils of exploratory data analysis

Is it ever ok to conduct an exploratory data analysis, for the purpose of “generating hypotheses”?

An academic career path

As of today I am a Senior Lecturer at the Clinical Research Facility Cork. I am feeling reflective. In the 5 short years following my PhD, I went from the USA, to England, to Brazil, to Ireland. I have gone from Lecturer, to Post-Doc, to Senior Lecturer, in that order. I started in pursuit of a career in public health nutrition, but now work primarily as a biostatistician conducting clinical research. It’s been a strange path, though strange paths in academia are starting to feel awfully normal. Apologies for my narcissism and any name dropping. I hope this is helpful.