Skip to content
View ellessenne's full-sized avatar
101 followers · 328 following

Achievements

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

Achievements

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

Highlights

  • Pro

Organizations

@RedDoorAnalytics

Block or report ellessenne

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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 co-chair of openstatsware and an associate editor at Biostatistics.

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. Lately, I have also been picking up a lot more prediction modelling and causal inference.

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, and on the Red Door Analytics GitHub organisation.

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 contact details as well, if you want to get in touch.

Pinned Loading

  1. rsimsum rsimsum Public

    Analysis of simulation studies including Monte Carlo error

    R 27 7

  2. comorbidity comorbidity Public

    An R package for computing comorbidity scores.

    R 81 21

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

    Standardised Survival Probabilities, in R

    R 8 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 4 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