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Hi, all!
This is my statistics blog. "What's new then?", you might say. "There's plenty of them, out there!". Yes, that's right. However, the new thing is that I am not a statistician. I am a biologist who happened to be fascinated by the research process and scared by the multiple sources of errors that we can meet everywhere. Stats will help us to reach more reliable conclusions, though it is just a mean, not our final interest! Though my language might be rough and overly simplistic, hope it helps reach my aims: help biologists to reach a better awareness of the potential usefulness and limits of statistics.

English posts

  1. Is R dangerous? Side effects of free-software for biologists
  2. Reporting results for designed experiments in applied biology
  3. Are my p-values reliable?
  4. Confidence intervals: am I uncousciously a Bayesian?
  5. The propagation of measurement errors
  6. The delta method for dummies
  7. The Gauss-Newton method for nonlinear regression: is it so difficult?

Italian posts

  1. Abbandonare Word: sogno o realtà?
  2. Varianza del campione e della popolazione: perchè le formule sono diverse?
  3. Il metodo sperimentale: quando la scienza è scienza
  4. L'analisi AMMI per lo studio delle interazioni genotipo-ambiente
  5. L'analisi delle componenti principali

Software

  1. DSAASTAT: a new EXCEL VBA macro to analyse the results of field experiments
  2. BIOASSAY97: a new EXCEL VBA macro to perform statistical analyses on pesticide dose-response data 

Other links

  1. Laboratorio di biometria con R
  2. Materiale didattico dai miei corsi di Metodologia Sperimentale
  3. Corso di statistica (Catania: 29/5/17 - 1/6/17)
  4. Corso di Statistica (Perugia: 20/06/17 - 28/06/17)