To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of.
Sir R. A. Fisher

This is a page about what I've learned so far and which I usually put in some kind of technical notes or even handbooks.

My academic publications should be found on this page.

In addition to the notes I took on my blog-like page, I also maintain a small repository of tips and tricks. And here are some pictures I took when installing various computing stuff on my MacBook Pro... This was long before the AppStore era, when OS X was a fairly competitive and pleasant computing environment. Here is also my current bibliography (4648 entries, including abstract when possible), ever growing (last updated: 2010-09-20): Bibtex (> 8.3 Mo) | html.

Statistical handbooks

Provided in separate pages (work in progess, for some years now...).

  1. R Companion to Montgomery's Design and Analysis of Experiments (2005)
  2. Analysing discrete correlated data using R

Technical notes

Often written on the fly, but include academic references for more serious work.

  1. Psychometrics and IRT with R
  2. Regression Methods in Biostatistics
  3. Quelques notes sur le testing adaptatif, pdf, 540 Ko (source: tex)
  4. Introduction aux statistiques inférentielles, pdf, 728 Ko, exercices de probabilités (corrigés) (pdf), exercices de statistiques (corrigés) (pdf)
  5. Quelques notes sur la thérapie génique, pdf, 476 Ko (source: tex)
  6. How to test for mediation and moderation effects in biomedical research, pdf, 627 Ko (source: tex) Preview version
  7. Examples of power analysis in clinical trials, pdf, xx Ko (source: tex), with online references
  8. My Emacs tips and tricks, html, 29 Ko (source: txt)

Older notes

Mainly outdated.

Last updated on 2012/05/01, 9:18am