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ellessenne/README.md

Hi there! 👋

Alessandro here, a post-doc biostatistician at Karolinska Institutet in Stockholm, Sweden.

My current (biostatistical) research line focusses on developing joint natural history models for latent breast cancer tumour growth and metastatic spread.

Other methodological topics I am interested in: statistical simulation, survival analysis, joint longitudinal-survival modelling, computational statistics.

I am an avid #rstats user, which you might have guessed if you already checked out the repositories around here. I maintain the following R packages on CRAN:

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

If you're looking for more information about me (or a full CV), check out my personal website at ellessenne.xyz where I also write the occasional blog post. And feel free to get in touch if you have any question, contact details are on my website too. Cheers!

ellessenne's GitHub stats

Top Langs

Pinned

  1. Analysis of simulation studies including Monte Carlo error

    R 15 6

  2. An R package for computing comorbidity scores.

    R 37 11

  3. INTEREST: INteractive Tool for Exploring REsults from Simulation sTudies

    R 1 1

  4. R package for fitting joint models to time-to-event data and multivariate longitudinal data

    R 19 9

  5. Create KMunicate-Style Kaplan–Meier Plots

    R 5 1

  6. Parametric Proportional Hazards Survival Models

    R 1

1,478 contributions in the last year

Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Mon Wed Fri
Activity overview
Contributed to ellessenne/rsimsum, ellessenne/KMunicate-package, ellessenne/comorbidity and 5 other repositories

Contribution activity

July 2021

Created a pull request in ellessenne/comorbidity that received 4 comments

Using {stringi} for pattern matching

This implementation seems to be ~2x faster after some quick testing: library(comorbidity) library(bench) library(ggplot2) library(ggbeeswarm) library(

+31 −40 4 comments
Opened 2 issues in 1 repository
68 contributions in private repositories Jul 2 – Jul 24

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