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Optimal and adaptive designs for modern medical experimentation

Project
Optimal and adaptive designs for modern medical experimentation
  • Overview
  • Publications

Overview

Contributors

TOMMASI CHIARA   Scientific Manager  

Departments involved

Dipartimento di Economia, Management e Metodi Quantitativi   Principale  

Type

PRIN2022 - PRIN bando 2022

Funder

MINISTERO DELL'UNIVERSITA' E DELLA RICERCA
External Organization Funding Organization

Date/time interval

September 28, 2023 - September 28, 2025

Project duration

24 months

Publications

Outputs (8)

Augmented designs to choose between constant absolute and relative errors and to estimate model parameters 
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
ELSEVIER B.V.
2025
Academic Article
Open Access
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Maximum likelihood estimation under the Emax model: existence, geometry and efficiency 
STATISTICAL PAPERS
SPRINGER
2025
Academic Article
Open Access
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Networks of reinforced stochastic processes: A complete description of the first-order asymptotics 
STOCHASTIC PROCESSES AND THEIR APPLICATIONS
ELSEVIER
2024
Academic Article
Partially Open Access
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Networks of reinforced stochastic processes: Probability of asymptotic polarization and related general results 
STOCHASTIC PROCESSES AND THEIR APPLICATIONS
ELSEVIER
2024
Academic Article
Partially Open Access
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Interacting innovation processes 
SCIENTIFIC REPORTS
SPRINGER NATURE
2023
Academic Article
Open Access
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A KL-Augmented Design for the Hill Model 
ITALIAN STATISTICAL SOCIETY SERIES ON ADVANCES IN STATISTICS
SPRINGER NATURE
2025
Conference Paper
Partially Open Access
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On the Maximum Likelihood Estimator of the Emax Model 
ITALIAN STATISTICAL SOCIETY SERIES ON ADVANCES IN STATISTICS
SPRINGER
2025
Conference Paper
Reserved Access
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Optimal Subsampling from Big Datasets in Presence of Misspecification 
ITALIAN STATISTICAL SOCIETY SERIES ON ADVANCES IN STATISTICS
SPRINGER
2025
Conference Paper
Reserved Access
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