I've purchased the book and I'm enjoying it so far. It's definitely going to be a reference to me as I progress through future modelling projects. You've introduced this concept of being a T-shaped modeller which I like, I'm going to adopt this approach in future. I'm reading the causal inference chapter and find myself in a similar position that you were in your TNF-alpha blockers project.
I wanted to ask if you have any good books/ materials on how one can get started with applying causal inference? This is a mindset that is going to be crucially important in the work I will be doing so I want to make sure I start off in the best possible way. I'm a statistician by training so I've also constantly been exposed to the "correlation isn't causation" mantra. Do you have any primers or materials that you suggest are good in order to learn this mindset and begin to apply these methods in projects?
I've purchased the book and I'm enjoying it so far. It's definitely going to be a reference to me as I progress through future modelling projects. You've introduced this concept of being a T-shaped modeller which I like, I'm going to adopt this approach in future. I'm reading the causal inference chapter and find myself in a similar position that you were in your TNF-alpha blockers project.
I wanted to ask if you have any good books/ materials on how one can get started with applying causal inference? This is a mindset that is going to be crucially important in the work I will be doing so I want to make sure I start off in the best possible way. I'm a statistician by training so I've also constantly been exposed to the "correlation isn't causation" mantra. Do you have any primers or materials that you suggest are good in order to learn this mindset and begin to apply these methods in projects?
Will the print or ebook version be black and white?