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Achievements

Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: StarstruckAchievement: Pull Sharkx2
BetaSend feedback

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@RedDoorAnalytics
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ellessenne/README.md

Hello! 👋

Alessandro here, a senior biostatistician and software developer currently working at Red Door Analytics in Stockholm, Sweden. I am also a member of openstatsware, previously known as the ASA Biopharmaceutical Section Software Engineering Working Group.

Some of my research interests are: statistical simulation, survival analysis, multilevel modelling, joint shared random-effects modelling (e.g. longitudinal-survival), computational statistics, statistical natural history models for breast cancer growth and spread.

I am predominantly an R user, but use a good amount of Stata too. I also like to fiddle around with other languages, such as C++, Python, SQL, and LaTeX, and I can write a good amount of HTML and CSS.

I developed and currently maintain the following R packages available 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 about me, feel free to check out my website at ellessenne.xyz where I sometimes write about statistics, R programming, and other random stuff (tiny computers anyone?). You'll find there contact details as well, if you want to get in touch.

Pinned

  1. rsimsum rsimsum Public

    Analysis of simulation studies including Monte Carlo error

    R 26 7

  2. comorbidity comorbidity Public

    An R package for computing comorbidity scores.

    R 75 21

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

    Standardised Survival Probabilities, in R

    R 7 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 3 3

  5. KMunicate-package KMunicate-package Public

    Create KMunicate-Style Kaplan–Meier Plots

    R 7 2

  6. mice.mcerror mice.mcerror Public

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

    R 1