This is just a brief announcement that the Quantitative Methods Reading Group at LSE resumes this year! For further updates regarding this year’s meetings and the papers to be discussed please visit the following website:
This is the end of my PhD journey: I had my viva voce (for normal human beings: PhD defense) this Monday and passed without corrections. Hooray! 🙂
I am also fortunate enough to be able to start my new position as a postdoctoral research fellow at the same university and same department right away (this coming Monday). I am sure I will write a lot about the project I am working on in the coming months. This is to the start of my new journey:
I am still very new to blogging – a couple of people have recently suggested that I should publish my conference presentations on my website, which is so obvious but has never occurred to me earlier. I had the privilege to give two presentations last weekend at EUROCRIM in Sarajevo.
After more than two dozens of blog posts, today is the blog’s one-year anniversary. Thank you all of you for visiting, reading, and commenting, I will keep writing and posting.
Until the next time, here is another Star Trek video to celebrate this by:
Live long and prosper.
As mentioned in an earlier post, I have had the privilege to be one of the founders and first organiser of LSE’s Quantitative Methods Reading Group. The Reading Group’s first academic year has just concluded, and with twelve fascinating articles and discussions under its belt, it goes on a well-deserved summer vacation. I collated all the literature chosen throughout the year, it is worth a browse:
I have not been blogging as diligently lately, and one of the reasons for this is that I have been a bit preoccupied with writing resubmissions. As part of this process, I had to revisit the issue of treatment effect consistency which I discussed last summer. This post discusses an alternative way of assessing and quantifying whether treatment effect (in)consistency is present, using methods adopted from meta-analysis.
During Lent term, I have been one of the GTAs (i.e., Graduate Teaching Assistants) for MY457, or Causal Inference in Experimental and Observational Studies. As wonderfully inquisitive LSE students are, they have been asking me for further readings on the methods we have been discussing throughout the course. I thought that it might make sense to list some recurring suggestions I have made to them, if for nothing else, for a quick reference to anyone taking the course (or otherwise interested in the topics covered by it).
After finishing my latest series of posts on causal mediation analysis with multiple mediators (you can find them here, here, and here), I had a sinking feeling that I forgot to mention a couple of important points, which means this series is not quite finished yet after all… There are two more issues I want to address: the differences between the post-treatment confounder and sequentially ordered approaches, and a potential Bayesian alternative. Continue reading “Causal mediation analysis with multiple mediators 4. – Some closing thoughts”
In this third, and final post on causal mediation analysis with multiple mediators (see the first two here and here), I discuss the case of sequentially ordered mediators. Continue reading “Causal mediation analysis with multiple mediators 3. – Sequentially ordered mediators”
This is the second installment in a series of posts on causal mediation analysis with multiple mediators (see the first one here), which discusses how to handle the case of post-treatment confounding. Continue reading “Causal mediation analysis with multiple mediators 2. – Post-treatment confounding”