A5036624142- Advanced Causal Inference Techniques
- Health Systems, Economic Evaluations, Quality of Life
- COVID-19 epidemiological studies
- Meta-analysis and systematic reviews
- Misinformation and Its Impacts
- Antibiotics Pharmacokinetics and Efficacy
- CAR-T cell therapy research
- Biomedical Text Mining and Ontologies
- Immunotherapy and Immune Responses
- Poisoning and overdose treatments
- E-Learning and Knowledge Management
- Communication and COVID-19 Impact
- Cancer Immunotherapy and Biomarkers
- Bayesian Modeling and Causal Inference
- Statistical Methods and Bayesian Inference
- Drug-Induced Hepatotoxicity and Protection
University of Massachusetts Chan Medical School
1997-2024
University of California, San Francisco
2024
Global Brain Health Institute
2024
Johns Hopkins University
2023
Bloomberg (United States)
2023
Sidney Kimmel Comprehensive Cancer Center
2023
Personalized cancer vaccines aim to activate and expand cytotoxic antitumor CD8+ T cells recognize kill tumor cells. However, the role of CD4+ cell activation in clinical benefit these is not well defined. We previously established a personalized neoantigen vaccine (PancVAX) for pancreatic line Panc02, which activates tumor-specific but required combinatorial checkpoint modulators achieve therapeutic efficacy. To determine effects neoantigen-specific activation, we generated (PancVAX2)...
Introduction Causal methods have been adopted and adapted across health disciplines, particularly for the analysis of single studies. However, sample sizes necessary to best inform decision-making are often not attainable with studies, making pooled individual-level data invaluable public efforts. Researchers commonly implement causal prevailing in their home how these selected, evaluated, implemented reported may vary widely. To our knowledge, no article has yet evaluated trends...
Introduction Pooling (or combining) and analysing observational, longitudinal data at the individual level facilitates inference through increased sample sizes, allowing for joint estimation of study- individual-level exposure variables, better enabling assessment rare exposures diseases. Empirical studies leveraging such methods when randomization is unethical or impractical have grown in health sciences recent years. The adoption so-called “causal” to account both/either measured and/or...
The COVID-19 pandemic underscored the challenge of swiftly disseminating research findings to a global audience. Language barriers further exacerbated disparities in access timely scientific information, particularly for non-English speaking communities. majority was published English, limiting accessibility Spanish-speaking populations.
<title>Abstract</title> Observational data provide invaluable real-world information in medicine, but certain methodological considerations are required to derive causal estimates. In this systematic review, we evaluated the methodology and reporting quality of individual-level patient meta-analyses (IPD-MAs) published 2009, 2014, 2019 that sought estimate a relationship medicine. We screened over 16,000 titles abstracts, reviewed 45 full-text articles out 167 deemed potentially eligible,...
<sec> <title>BACKGROUND</title> The COVID-19 pandemic underscored the challenge of swiftly disseminating research findings to a global audience. Language barriers further exacerbated disparities in access timely scientific information, particularly for non-English speaking communities. majority was published English, limiting accessibility Spanish-speaking populations. </sec> <title>OBJECTIVE</title> This paper aims assess reach and effectiveness AccesoCovid.com, platform designed...