Ileana Baldi
Biographic Data
| ID | 2172129 |
|---|---|
| NAME | Ileana Baldi |
| GIVEN NAMES | Ileana |
| FAMILY NAME | Baldi |
| SIGNATURE | BALDI I |
| AFFILIATIONS | University of Padua |
| ORCID | 0000-0002-8578-9164 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Covid-19 hospitalizations and patients' age at admission: The neglected importance of data variability for containment policies
Introduction: An excess in the daily fluctuation of COVID-19 in hospital admissions could cause uncertainty and delays in the implementation of care interventions. This study aims to characterize a possible source of extravariability in the number of hospitalizations for COVID-19 by considering age at admission as a potential explanatory factor. Age at hospitalization provides a clear idea of the epidemiological impact of the disease, as the elde…
Assessment of Glucose Lowering Medications’ Effectiveness for Cardiovascular Clinical Risk Management of Real-World Patients with Type 2 Diabetes: Targeted Maximum Likelihood Estimation under Model Mi…
The results from many cardiovascular (CV) outcome trials suggest that glucose lowering medications (GLMs) are effective for the CV clinical risk management of type 2 diabetes (T2D) patients. The aim of this study is to compare the effectiveness of two GLMs (SGLT2i and GLP-1RA) for the CV clinical risk management of T2D patients in a real-world setting, by simultaneously reducing glycated hemoglobin, body weight, and systolic blood pressure. Data …
A Bayesian Sample Size Estimation Procedure Based on a B-Splines Semiparametric Elicitation Method
Sample size estimation is a fundamental element of a clinical trial, and a binomial experiment is the most common situation faced in clinical trial design. A Bayesian method to determine sample size is an alternative solution to a frequentist design, especially for studies conducted on small sample sizes. The Bayesian approach uses the available knowledge, which is translated into a prior distribution, instead of a point estimate, to perform the …
A Deep Learning Approach to Estimate the Incidence of Infectious Disease Cases for Routinely Collected Ambulatory Records: The Example of Varicella-Zoster
The burden of infectious diseases is crucial for both epidemiological surveillance and prompt public health response. A variety of data, including textual sources, can be fruitfully exploited. Dealing with unstructured data necessitates the use of methods for automatic data-driven variable construction and machine learning techniques (MLT) show promising results. In this framework, varicella-zoster virus (VZV) infection was chosen to perform an a…
Adjustment for Baseline Covariates to Increase Efficiency in RCTs with Binary Endpoint: A Comparison of Bayesian and Frequentist Approaches
Adjusting for prognostic baseline covariates in the analysis of RCTs can have more power than intention-to-treat based tests. However, for some classes of model, when the regression model is mis-specified, inflated type I error and potential bias on treatment effect estimate may arise
The Surplus Transplant Lung Allocation System in Italy: An Evaluation of the Allocation Process via Stochastic Modeling
Lung transplantation is a specialized procedure used to treat chronic end-stage respiratory diseases. Due to the scarcity of lung donors, constructing fair and equitable lung transplant allocation methods is an issue that has been addressed with different strategies worldwide. This work aims to describe how Italy's "national protocol for the management of surplus organs in all transplant programs" functions through an online app to allocate lung …
Handling Poor Accrual in Pediatric Trials: A Simulation Study Using a Bayesian Approach
In the conduction of trials, a common situation is related to potential difficulties in recruiting the planned sample size as provided by the study design. A Bayesian analysis of such trials might provide a framework to combine prior evidence with current evidence, and it is an accepted approach by regulatory agencies. However, especially for small trials, the Bayesian inference may be severely conditioned by the prior choices. The Renal Scarring…
Multidimensional analysis of food-allergic children and adolescents' self-concept: A comparison with a healthy matched sample
The study investigated self-concept in food-allergic youths and matched healthy controls. Global and domain-specific self-concepts were assessed in 154 participants (9-19 years) using the Multidimensional Self-Concept Scale. Statistical analysis assessed differences between the two samples and effects of asthma, dermatitis, age, and gender among patients. Significant differences were found for Total Scale score and for Competence and Physical sco…
Hospitalization rates and cost in severe or complicated obesity: An Italian cohort study
The economic consequences of high hospitalization rates in obese individuals are relevant. Reducing the occurrence of co-morbidities among obese persons may be one important goal, not only for clinical reasons, but also from a public health point of view
Scale-Up Approach in Cati Surveys for Estimating the Number of Foreign Body Injuries in the Aero-Digestive Tract in Children
Foreign body injuries are a well-known threat to children due to the high risk of ingestion of small objects and choking. In order to depict the epidemiological framework of such injuries, data are mostly available for hospitalizations and partially for emergency room visits. The hidden part of the phenomenon consisting of minor self-resolved injuries is still unknown. The purpose of this paper is to provide an estimate of the overall burden of s…
Hospital factors and patient characteristics in the treatment of colorectal cancer: A population based study
The study provides evidence of the importance of social, clinical and hospital characteristics on the equity and quality of care in a Southern European country with an open-access public health care system
Multidimensional analysis of food-allergic children and adolescents' self-concept: A comparison with a healthy matched sample
The study investigated self-concept in food-allergic youths and matched healthy controls. Global and domain-specific self-concepts were assessed in 154 participants (9-19 years) using the Multidimensional Self-Concept Scale. Statistical analysis assessed differences between the two samples and effects of asthma, dermatitis, age, and gender among patients. Significant differences were found for Total Scale score and for Competence and Physical sco…
Scale-Up Approach in Cati Surveys for Estimating the Number of Foreign Body Injuries in the Aero-Digestive Tract in Children
Foreign body injuries are a well-known threat to children due to the high risk of ingestion of small objects and choking. In order to depict the epidemiological framework of such injuries, data are mostly available for hospitalizations and partially for emergency room visits. The hidden part of the phenomenon consisting of minor self-resolved injuries is still unknown. The purpose of this paper is to provide an estimate of the overall burden of s…
Hospital factors and patient characteristics in the treatment of colorectal cancer: A population based study
The study provides evidence of the importance of social, clinical and hospital characteristics on the equity and quality of care in a Southern European country with an open-access public health care system
Hospitalization rates and cost in severe or complicated obesity: An Italian cohort study
The economic consequences of high hospitalization rates in obese individuals are relevant. Reducing the occurrence of co-morbidities among obese persons may be one important goal, not only for clinical reasons, but also from a public health point of view
Multidimensional analysis of food-allergic children and adolescents' self-concept: A comparison with a healthy matched sample
The study investigated self-concept in food-allergic youths and matched healthy controls. Global and domain-specific self-concepts were assessed in 154 participants (9-19 years) using the Multidimensional Self-Concept Scale. Statistical analysis assessed differences between the two samples and effects of asthma, dermatitis, age, and gender among patients. Significant differences were found for Total Scale score and for Competence and Physical sco…
Adjustment for Baseline Covariates to Increase Efficiency in RCTs with Binary Endpoint: A Comparison of Bayesian and Frequentist Approaches
Adjusting for prognostic baseline covariates in the analysis of RCTs can have more power than intention-to-treat based tests. However, for some classes of model, when the regression model is mis-specified, inflated type I error and potential bias on treatment effect estimate may arise
The Surplus Transplant Lung Allocation System in Italy: An Evaluation of the Allocation Process via Stochastic Modeling
Lung transplantation is a specialized procedure used to treat chronic end-stage respiratory diseases. Due to the scarcity of lung donors, constructing fair and equitable lung transplant allocation methods is an issue that has been addressed with different strategies worldwide. This work aims to describe how Italy's "national protocol for the management of surplus organs in all transplant programs" functions through an online app to allocate lung …
Handling Poor Accrual in Pediatric Trials: A Simulation Study Using a Bayesian Approach
In the conduction of trials, a common situation is related to potential difficulties in recruiting the planned sample size as provided by the study design. A Bayesian analysis of such trials might provide a framework to combine prior evidence with current evidence, and it is an accepted approach by regulatory agencies. However, especially for small trials, the Bayesian inference may be severely conditioned by the prior choices. The Renal Scarring…
Covid-19 hospitalizations and patients' age at admission: The neglected importance of data variability for containment policies
Introduction: An excess in the daily fluctuation of COVID-19 in hospital admissions could cause uncertainty and delays in the implementation of care interventions. This study aims to characterize a possible source of extravariability in the number of hospitalizations for COVID-19 by considering age at admission as a potential explanatory factor. Age at hospitalization provides a clear idea of the epidemiological impact of the disease, as the elde…
Assessment of Glucose Lowering Medications’ Effectiveness for Cardiovascular Clinical Risk Management of Real-World Patients with Type 2 Diabetes: Targeted Maximum Likelihood Estimation under Model Mi…
The results from many cardiovascular (CV) outcome trials suggest that glucose lowering medications (GLMs) are effective for the CV clinical risk management of type 2 diabetes (T2D) patients. The aim of this study is to compare the effectiveness of two GLMs (SGLT2i and GLP-1RA) for the CV clinical risk management of T2D patients in a real-world setting, by simultaneously reducing glycated hemoglobin, body weight, and systolic blood pressure. Data …
A Bayesian Sample Size Estimation Procedure Based on a B-Splines Semiparametric Elicitation Method
Sample size estimation is a fundamental element of a clinical trial, and a binomial experiment is the most common situation faced in clinical trial design. A Bayesian method to determine sample size is an alternative solution to a frequentist design, especially for studies conducted on small sample sizes. The Bayesian approach uses the available knowledge, which is translated into a prior distribution, instead of a point estimate, to perform the …
A Deep Learning Approach to Estimate the Incidence of Infectious Disease Cases for Routinely Collected Ambulatory Records: The Example of Varicella-Zoster
The burden of infectious diseases is crucial for both epidemiological surveillance and prompt public health response. A variety of data, including textual sources, can be fruitfully exploited. Dealing with unstructured data necessitates the use of methods for automatic data-driven variable construction and machine learning techniques (MLT) show promising results. In this framework, varicella-zoster virus (VZV) infection was chosen to perform an a…
Medicine (10 works) · Internal Medicine (7 works) · Computer Science (5 works) · Mathematics (5 works) · Epidemiology (4 works) · Statistics (4 works) · Advanced Causal Inference Techniques (3 works) · Artificial Intelligence (3 works) · Bayesian inference (3 works) · Bayesian probability (3 works)