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. These notes contain most probably some errors but I hope to get feedback or request for correction so that they get more satisfactory with time.

My academic publications should be found on this page.

Although this is merely work in progress, I started uploading my Psychometrics Notes (which should be the core material of future courses).

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...

Statistical handbooks

Provided in separate pages.

  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. An introduction to knowledge engineering, html, 28 Ko (source : txt) incomplete (2008/05/12)
  3. Regression Methods in Biostatistics
  4. Techniques de visualisation et de classification pour données multidimensionnelles, html, 104 Ko (source : txt) incomplete (2008/05/12)
  5. Quelques notes sur le testing adaptatif, pdf, 540 Ko (source: tex)
  6. Introduction aux statistiques inférentielles, pdf, 728 Ko, exercices de probabilités (corrigés) (pdf), exercices de statistiques (corrigés) (pdf)
  7. Penalized likelihood regression, pdf, 228 Ko (source: tex)
  8. Interaction terms in non-linear models, pdf, 328 Ko (source: tex)
  9. Practical psychiatric epidemiology, pdf, 541 Ko (source: tex)
  10. Quelques notes sur la thérapie génique, pdf, 476 Ko (source: tex)
  11. How to test for mediation and moderation effects in biomedical research, pdf, 627 Ko (source: tex) Preview version
  12. Examples of power analysis in clinical trials, pdf, xx Ko (source: tex), with online references
  13. Diving into Machine Learning with R, html, xx Ko (source: tex)
  14. A survey of statistical methods to assess differential item functionning, pdf, xx Ko (source: tex), with online references
  15. Statistical models for twin studies, pdf, xx Ko (source: tex), with online references. Mx, Mplus and R scripts available
  16. My Emacs tips and tricks, html, 29 Ko (source: txt)
  17. My RGB handouts of R tips: (1) graphics, (2) data handling, (3) statistical modeling

Since January, 2009, I've been playing with genetics, especially association studies. Here are some notes I took so far: (a) plink, (b) bioconductor, (c) statistiques (population genetics, DNA, genetic epidemiology), (d) Quality checking and data management of SNPs data, (e) GW analysis. I also maintain a list of databases and resources about GWAS.

Here is also my current bibliography (4648 entries, including abstract when possible), ever growing (last updated: 2010-09-20): Bibtex (> 8.3 Mo) | html.

Older notes

Mainly outdated.

Last updated on 2011/01/12, 3:18pm