Modern design of experiments

Maroussa Zagoraiou, Marco Novelli, Rosmarie Frieri

  • Date:

    23 JANUARY
    05 FEBRUARY 2024
     from 10:00 to 13:30
  • Event location: Aula IV, Department of Statistical Sciences, Via Belle Arti 41 (STAT PhD Classes Virtual Room on need)

  • Type: Cycle 39 - Short courses and seminars

Aims: To introduce the fundamental principles of statistically designed experiments. A variety of modern methods, namely sequential experiments in which the experimenter wishes to make use of the information accrued along the way, will be overviewed, connections between them emphasised and ongoing research challenges introduced.

Learning outcomes: An understanding of the major different mechanisms for data collection via adaptive experimental design, their similarities and differences. An appreciation of the impact of the choice of design on the precision and accuracy of the subsequent statistical modelling and inference. An awareness of the challenges presented to data collection methodologies from modern scientific experiments and studies. Familiarity with some of the practical issues in implementing adaptive designs in comparative experiments.

Final exam: group presentation

Course contents

- A brief introduction to the Design of Experiments
- Allocation adaptive designs
- Covariate adaptive designs
- Response adaptive designs


- Baldi Antognini A. and Giovagnoli A. (2015). Adaptive Designs for Sequential Treatment Allocation. Chapman & Hall/CRC Biostatistics.
- Baldi Antognini A., Novelli M. and Zagoraiou M. (2022) A simple solution to the inadequacy of asymptotic likelihood-based inference for response-adaptive clinical trials, Statistical Papers, 63, 157-180.
- Baldi Antognini A. and Zagoraiou M. (2011) The Covariate-Adaptive Biased Coin Design for balancing clinical trials in the presence of prognostic factors, Biometrika, 98, 519 - 535.
- Baldi Antognini A. and Zagoraiou M. (2014) Balance and randomness in sequential clinical trials: the dominant biased coin design, Pharmaceutical Statistics, 13, 119 - 127.
- Zagoraiou M. (2017) Choosing a Covariate-Adaptive randomization procedure in practice, Journal of Biopharmaceutical Statistics, 27, 845 - 857.
- Rosenberger W.F. and J.M. Lachin (2016) Randomization in clinical trials (Second Edition), Wiley Series in Probability and Statistics, John Wiley & Sons, Inc.