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ellessenne/README.md

Hello! 👋

Hi, Alessandro here. I currently work as a data science leader at GSK, based in Stockholm, Sweden. Before that, I worked at Red Door Analytics. I'm also a co-chair of the openstatsware working group and an associate editor for the journal Biostatistics.

My interests include statistical simulation, survival analysis, multilevel modelling, joint shared random-effects modelling (e.g. longitudinal-survival), computational statistics, and statistical natural history models for breast cancer growth and spread. Lately, I have also been doing more prediction modelling and causal inference.

I'm predominantly an R user, but I also use a good amount of Stata. I also enjoy working in C++, Python, SQL, and LaTeX, and I can write a fair amount of HTML and CSS.

I developed and maintain the following R packages on CRAN:

You will also find a variety of experimental packages and code (with wildly variable maturity levels) here.

If you want to know more, feel free to check out my website at ellessenne.xyz, where I sometimes (well, not so often these days) write about statistics, R programming, and other random stuff (tiny computers anyone?). You will find contact details there as well.

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  1. rsimsum rsimsum Public

    Analysis of simulation studies including Monte Carlo error

    R 31 7

  2. comorbidity comorbidity Public

    An R package for computing comorbidity scores.

    R 92 23

  3. standsurv-tutorial-r standsurv-tutorial-r Public

    Standardised Survival Probabilities, in R

    R 11 3

  4. simulation-study-example simulation-study-example Public

    Example code in R and Stata to run, analyse, and visualise a Monte Carlo simulation study.

    R 7 3

  5. KMunicate-package KMunicate-package Public

    Create KMunicate-Style Kaplan–Meier Plots

    R 8 2

  6. mice.mcerror mice.mcerror Public

    Calculate Monte Carlo Error Estimates for Statistics Computed Using Multiply Imputed Data

    R 1