DELIU, NINA
DELIU, NINA
DIPARTIMENTO DI METODI E MODELLI PER L'ECONOMIA, IL TERRITORIO E LA FINANZA
A copula-based Bayesian framework for doping detection
2024 Deliu, Nina; Liseo, Brunero
Adaptive Experiments for Enhancing Digital Education: Benefits and Statistical Challenges
2023 Deliu, Nina
Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions
2021 Figueroa, Ca; Aguilera, A; Chakraborty, B; Modiri, A; Aggarwal, J; Deliu, N; Sarkar, U; Jay Williams, J; Lyles, Cr
Alternative Approaches for Estimating Highest‐Density Regions
2024 Deliu, Nina; Liseo, Brunero
Clinician-reported symptomatic adverse events in cancer trials: are they concordant with patient-reported outcomes?
2019 Sparano, Francesco; Aaronson, Neil K; Cottone, Francesco; Piciocchi, Alfonso; La Sala, Edoardo; Anota, Amelie; Deliu, Nina; Kieffer, Jacobien M; Efficace, Fabio
Computing Highest Density Regions with Copulae
2023 Deliu, Nina; Liseo, Brunero
Concordance between patient reported and clinical outcomes in randomized controlled trials (RCTs) of cancer treatment
2017 Efficace, Fabio; Aaronson, Neil K.; Sparano, Francesco; Sprangers, Mirjam; Fayers, Peter; Pusic, Andrea L.; Anota, Amelie; Cottone, Francesco; Rees, Jonathan; Deliu, Nina; Piciocchi, Alfonso; La Sala, Edoardo; Haas, Alissa; Kieffer, Jacobien M.; Wang, Wenna; Pezold, Mike; Fuzesi, Sarah; Isharwal, Sumit; Yeung, John; Wan, Chonghua; Blazeby, Jane
Daily Motivational Text Messages to Promote Physical Activity in University Students: Results From a Microrandomized Trial
2022 Figueroa, Caroline A; Deliu, Nina; Chakraborty, Bibhas; Modiri, Arghavan; Xu, Jing; Aggarwal, Jai; Jay Williams, Joseph; Lyles, Courtney; Aguilera, Adrian
Deep learning to the test. An application to traffic data streams
2018 Deliu, Nina; Brutti, Pierpaolo
Distribution- and anchor-based methods to determine the minimally important difference on patient-reported outcome questionnaires in oncology: a structured review
2018 Ousmen, Ahmad; Touraine, Célia; Deliu, Nina; Cottone, Francesco; Bonnetain, Franck; Efficace, Fabio; Brédart, Anne; Mollevi, Caroline; Anota, Amélie
Dynamic Treatment Regimes for Optimizing Healthcare
2022 Deliu, Nina; Chakraborty, Bibhas
Evaluating methodological quality of Prognostic models Including Patient-reported HeAlth outcomes in oncologY (EPIPHANY): A systematic review protocol
2018 Deliu, Nina; Cottone, Francesco; Collins, Gary S.; Anota, Amélie; Efficace, Fabio
Incorporating participants’ welfare into sequential multiple assignment randomized trials
2024 Wang, Xinru; Deliu, Nina; Narita, Yusuke; Chakraborty, Bibhas
Informing Users about Data Imputation: Exploring the Design Space for Dealing With Non-Responses
2023 Bhattacharjee, Ananya; Song, Haochen; Wu, Xuening; Tomlinson, Justice; Reza, Mohi; Chowdhury, Akmar Ehsan; Deliu, Nina; Price, Thomas W.; Williams, Joseph Jay
Microrandomized Trials: Developing Just-in-Time Adaptive Interventions for Better Public Health
2023 Liu, Xueqing; Deliu, Nina; Chakraborty, Bibhas
Modeling strategies to improve parameter estimates in prognostic factors analyses with patient-reported outcomes in oncology
2019 Cottone, Francesco; Deliu, Nina; Collins, Gary S.; Anota, Amelie; Bonnetain, Franck; Van Steen, Kristel; Cella, David; Efficace, Fabio
Modelling strategies to improve estimates of prognostic factors analyses with patient reported outcomes: a simulation study
2017 Deliu, Nina; Efficace, Fabio; Collins, Gary; Anota, Amelie; Bonnetain, Franck; Van Steen, Kristel; Cella, David; Cottone, Francesco
Multi-disciplinary fairness considerations in machine learning for clinical trials
2022 Chien, Isabel; Deliu, Nina; Turner, Richard; Weller, Adrian; Villar, Sofia; Kilbertus, Niki
Multiculturality and Interculturality: A Qualitative Analysis of the Perspective of Focus Group Participants
2023 Deliu, Nina
Multinomial Thompson Sampling for adaptive experiments with rating scales
2022 Deliu, Nina
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A copula-based Bayesian framework for doping detection | 2024 | Deliu, Nina; Liseo, Brunero | |
| Adaptive Experiments for Enhancing Digital Education: Benefits and Statistical Challenges | 2023 | Deliu, Nina | |
| Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions | 2021 | Figueroa, Ca; Aguilera, A; Chakraborty, B; Modiri, A; Aggarwal, J; Deliu, N; Sarkar, U; Jay Williams, J; Lyles, Cr | |
| Alternative Approaches for Estimating Highest‐Density Regions | 2024 | Deliu, Nina; Liseo, Brunero | |
| Clinician-reported symptomatic adverse events in cancer trials: are they concordant with patient-reported outcomes? | 2019 | Sparano, Francesco; Aaronson, Neil K; Cottone, Francesco; Piciocchi, Alfonso; La Sala, Edoardo; Anota, Amelie; Deliu, Nina; Kieffer, Jacobien M; Efficace, Fabio | |
| Computing Highest Density Regions with Copulae | 2023 | Deliu, Nina; Liseo, Brunero | |
| Concordance between patient reported and clinical outcomes in randomized controlled trials (RCTs) of cancer treatment | 2017 | Efficace, Fabio; Aaronson, Neil K.; Sparano, Francesco; Sprangers, Mirjam; Fayers, Peter; Pusic, Andrea L.; Anota, Amelie; Cottone, Francesco; Rees, Jonathan; Deliu, Nina; Piciocchi, Alfonso; La Sala, Edoardo; Haas, Alissa; Kieffer, Jacobien M.; Wang, Wenna; Pezold, Mike; Fuzesi, Sarah; Isharwal, Sumit; Yeung, John; Wan, Chonghua; Blazeby, Jane | |
| Daily Motivational Text Messages to Promote Physical Activity in University Students: Results From a Microrandomized Trial | 2022 | Figueroa, Caroline A; Deliu, Nina; Chakraborty, Bibhas; Modiri, Arghavan; Xu, Jing; Aggarwal, Jai; Jay Williams, Joseph; Lyles, Courtney; Aguilera, Adrian | |
| Deep learning to the test. An application to traffic data streams | 2018 | Deliu, Nina; Brutti, Pierpaolo | |
| Distribution- and anchor-based methods to determine the minimally important difference on patient-reported outcome questionnaires in oncology: a structured review | 2018 | Ousmen, Ahmad; Touraine, Célia; Deliu, Nina; Cottone, Francesco; Bonnetain, Franck; Efficace, Fabio; Brédart, Anne; Mollevi, Caroline; Anota, Amélie | |
| Dynamic Treatment Regimes for Optimizing Healthcare | 2022 | Deliu, Nina; Chakraborty, Bibhas | |
| Evaluating methodological quality of Prognostic models Including Patient-reported HeAlth outcomes in oncologY (EPIPHANY): A systematic review protocol | 2018 | Deliu, Nina; Cottone, Francesco; Collins, Gary S.; Anota, Amélie; Efficace, Fabio | |
| Incorporating participants’ welfare into sequential multiple assignment randomized trials | 2024 | Wang, Xinru; Deliu, Nina; Narita, Yusuke; Chakraborty, Bibhas | |
| Informing Users about Data Imputation: Exploring the Design Space for Dealing With Non-Responses | 2023 | Bhattacharjee, Ananya; Song, Haochen; Wu, Xuening; Tomlinson, Justice; Reza, Mohi; Chowdhury, Akmar Ehsan; Deliu, Nina; Price, Thomas W.; Williams, Joseph Jay | |
| Microrandomized Trials: Developing Just-in-Time Adaptive Interventions for Better Public Health | 2023 | Liu, Xueqing; Deliu, Nina; Chakraborty, Bibhas | |
| Modeling strategies to improve parameter estimates in prognostic factors analyses with patient-reported outcomes in oncology | 2019 | Cottone, Francesco; Deliu, Nina; Collins, Gary S.; Anota, Amelie; Bonnetain, Franck; Van Steen, Kristel; Cella, David; Efficace, Fabio | |
| Modelling strategies to improve estimates of prognostic factors analyses with patient reported outcomes: a simulation study | 2017 | Deliu, Nina; Efficace, Fabio; Collins, Gary; Anota, Amelie; Bonnetain, Franck; Van Steen, Kristel; Cella, David; Cottone, Francesco | |
| Multi-disciplinary fairness considerations in machine learning for clinical trials | 2022 | Chien, Isabel; Deliu, Nina; Turner, Richard; Weller, Adrian; Villar, Sofia; Kilbertus, Niki | |
| Multiculturality and Interculturality: A Qualitative Analysis of the Perspective of Focus Group Participants | 2023 | Deliu, Nina | |
| Multinomial Thompson Sampling for adaptive experiments with rating scales | 2022 | Deliu, Nina |