These textbooks and resources are the foundation for the methods and approach of my research
We need to use rigorous methods and reproducible tools in health economics and outcomes research as analyses of real-world data become more frequent, involve larger datasets and employ more complex computations.
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Health Economics
deep, challenging chapters written by world experts
the “gold book” is a Bible for cost-effectiveness researchers
the classic by Drummond, used globally
I’m still trying to convert all these econometrics methods into R
practical guide for beginners, includes good tutorials
solid to use for self-teaching Markov modeling
how to think about things from every perspective in advance
Infectious Disease Modeling
bust out the differential equations and matrix algebra; good section on stochastic process
easier intro book with solid fundamentals, good explanation of sexual mixing matrixes
know the immunological mechanism before designing a math model
Epidemiology & Biostatistics
foundation for validity of any research study design
time to event analysis can be used for more outcomes than death
when randomization isn’t possible, there are dozens of other designs to consider
my favorite simple model type
Data Science
welcome to the joys of tidy data
author of Flowing Data online tutorials in R
i am still deeply learning from this book
R Studio is my favorite
for some econometrics stuff
I try never to use this, but must when preferred by client for cost-effectiveness analysis
I also enjoy displaying modeling results as an interactive tool for decision makers. Check out this RShiny app I created for a simple vaccination model.
Guidelines for good research practices
CHOICE guidelines for cost-effectiveness analysis
see the cost-benefit reference case, applies to anything Gates funded
