Journées de Biostatistique 2023

Session

Inférence causale et essais cliniques

17 nov. 2023, 14:55

Amphi Schwarz, 1R3 (Institut de Mathématiques de Toulouse)

11. Puissance conditionnelle lors de l’analyse intermédiaire en essai clinique

Mlle Maud MEGRET (ENSAI)

17/11/2023 14:55

Introduction – L’analyse intermédiaire (AI) lors d’un essai clinique peut permettre d’évaluer le critère de jugement principal avant le recrutement ou la fin de suivi de l’ensemble des patients. Cela mène à l’arrêt précoce ou à la poursuite de l’essai. Cette étape inclut notamment l’évaluation de la puissance conditionnelle (PC, probabilité d’obtenir un résultat significatif à la fin de...

9. Comparison between different randomization methods for treatment allocation with a continuous factor as stratification criterion

Aymeric Molinard (INSA Rennes)

17/11/2023 15:20

Randomization is a key step in clinical trials to ensure a valid estimation of treatment effect. Most popular randomization method is stratification with blocks. This method can cause serious imbalances which makes this method unworkable in case of small sample size trials or incorporation of several prognostic factors. Minimization can overcome these problems, by accounting for many factors...

8. Instrumental Variables: state of the art and practical recommandations

Remi Khellaf (INRIA)

17/11/2023 15:45

In this work, we provide a comprehensive theoretical and empirical exploration of the integration of instrumental variables (IV) in causal analysis. Specifically, we focus on the estimation of the Average Treatment Effect (ATE) when confronted with the challenge of unmeasured confounding variables.

We begin by introducing the conceptual foundations and methodological underpinnings of the IV...

10. Statistical properties of minimal sufficient balance randomization approach in a stratification context, a simulation study

M. Hugo CANNAFARINA (ENSAI)

Introduction – Randomization is a crucial step in clinical trials and ensures balance across treatment groups. Several approaches exist (e.g. stratified permuted blocks or covariate adaptive minimization). Some of them were introduced recently such as Zhao et al Minimum Sufficient Balance (MSB) in 2015. The aim of this work is to assess the performance of MSB to grasp a better...