Experienced and meticulous Biostatistician with a proven record of 5 years in analyzing and interpreting complex medical data. Adept at employing a diverse range of advanced statistical methodologies, including time series models, linear models, multinomial analysis, survival analysis, maximum-likelihood estimation, the EM algorithm, Monte Carlo and indirect inference, and simulation techniques. Proficient in developing custom R packages to streamline and automate statistical analyses, ensuring efficiency and reproducibility. Extensive expertise in utilizing SAS programming for seamless data manipulation and analysis. Additionally, possess comprehensive knowledge of Python and proficiency in other prominent statistical software such as SPSS, STATA, and JMP. Demonstrated mastery in sampling and validation, coupled with a refined ability to manage and manipulate vast datasets. Confident and articulate communicator with exceptional verbal and written skills, adept at collaborating with interdisciplinary teams and effectively conveying intricate statistical concepts to diverse audiences.
2021: A TIME SERIES ANALYSIS APPROACH TO FORECASTING COVID-19 CASES AND DEATHS: AN ANALYSIS OF COVID-19 DATA IN COLOMBIA
2021: HIERARCHAL TIME SERIES MODEL FORECASTING: AN APPLICATION TO OBSTETRIC DATA IN SANTIAGO DE CHILE
2022: EXPLORING THE IMPACT OF RANDOMIZED TRIALS AND MIXED MODELS ON OBSTETRIC AND NEONATAL HEALTH OUTCOMES FOR BLACK WOMEN IN BOTEGA, COLOMBIA
2022: INTEGRATING MULTI-LEVEL BAYESIAN MODELS FOR PREDICTING AND EXPLAINING ADOLESCENT PELVIC INFLAMMATORY DISEASE AND SEXUALLY TRANSMITTED INFECTIONS/DISEASES: A NOVEL APPROACH FOR ENHANCED UNDERSTANDING AND PREVENTION STRATEGIES
2022: AN INTEGRATED RANDOM FOREST MODEL FOR ASSESSING AND FORECASTING TRAUMATIC BLOOD LOSS OUTCOMES WITH AND WITHOUT CELL SAVER TECHNOLOGY IN PROLONGED SURGERIES
2022: A HIERARCHICAL GENERALIZED LINEAR MODEL COMPARING OBSTETRIC TRAUMA OUTCOMES WITH AND WITHOUT CELL SAVER TECHNOLOGY
2022: PREDICTING CERVICAL CANCER FROM COLPOSCOPY FINDINGS
2022: EXPLORING THE IMPACT OF COVID-19 ON SOCIAL VULNERABILITY IN RURAL NEW MEXICO: A PROPENSITY SCORE MATCHING APPROACH
2023: ADVANCED BAYESIAN NETWORK ANALYSIS FOR PREDICTIVE MODELING OF DIAGNOSTIC OUTCOMES IN PEDIATRIC ASTHMA
2023: INTEGRATING HIERARCHICAL LATENT CLASS ANALYSIS FOR EARLY DIAGNOSIS OF PEDIATRIC AUTISM SPECTRUM DISORDERS
2023: ADVANCING PEDIATRIC REPRODUCTIVE HEALTH: A NOVEL STATISTICAL APPROACH TO IDENTIFYING RISK FACTORS AND PREDICTING OUTCOMES IN PEDIATRIC OVARIAN TUMORS
2023: INTEGRATING LONGITUDINAL STRUCTURAL EQUATION MODELING TO UNRAVEL THE IMPACT OF EARLY MENTAL HEALTH INTERVENTION ON REDUCING LIFELONG MENTAL HEALTH ILLNESS
Andrea Jackson-Sagredo is a Biostatistician with over 5 years of professional experience and 10+ years of academic studies. She specializes in predictive modeling approaches concerning women’s sexual, reproductive, and maternal health issues and neonatal health outcomes. Andrea is a current Ph.D. Candidate at the University of Illinois at Chicago in the School of Public Health within the Biostatistics/Epidemiology Department. In 2021, Andrea was awarded dual master’s in science degrees in Mathematics and Statistics from Northern Illinois University in Dekalb, IL.
Andrea’s most recent work includes developing prediction models to forecast HPV-related throat and cervical cancer and vertical transmission of HPV to neonates amongst Black and Latina women. In addition, Andrea has authored and co-authored two research articles regarding COVID-19 and the forecasting of cases and deaths during the height of the pandemic.
As a daughter of an immigrant mother from Santiago de Chile and a father from Pittsburgh, Pennsylvania, who spent many years fighting for civil rights in the United States, Andrea believes that her biggest mission is to uplift, honor, and advocate for Black and Brown men and women, and children while utilizing her mathematic and statistical background to reach clinicians and public health policymakers. Overall, Andrea’s goal is simple: to quantify, rectify, and exemplify injustices in women’s health, particularly Black and Latina women and children in various sociodemographic and economic situations.
Andrea coins her greatest achievements, however, as being a mom to her two daughters, Catalina and Paloma. Likewise, Andrea enjoys spending quality time with her childhood sweetheart and husband, Elias, and raising their two daughters in Bolingbrook, IL.