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Andrew G. Chapple
Researcher at LSU Health Sciences Center New Orleans
Publications - 73
Citations - 283
Andrew G. Chapple is an academic researcher from LSU Health Sciences Center New Orleans. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 7, co-authored 36 publications receiving 117 citations. Previous affiliations of Andrew G. Chapple include Louisiana State University & Louisiana State University Agricultural Center.
Papers
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Journal ArticleDOI
Severe COVID-19 Is Characterized by an Impaired Type I Interferon Response and Elevated Levels of Arginase Producing Granulocytic Myeloid Derived Suppressor Cells.
Matthew J. Dean,Juan B. Ochoa,Maria Dulfary Sanchez-Pino,Jovanny Zabaleta,Jone Garai,Luis Del Valle,Dorota Wyczechowska,Lyndsey Buckner Baiamonte,Phaethon Philbrook,Rinku Majumder,Richard S. Vander Heide,Logan Dunkenberger,Ramesh P. Thylur,Bobby D. Nossaman,W. Mark Roberts,Andrew G. Chapple,Jiande Wu,Chindo Hicks,Jack R. Collins,Brian T. Luke,Randall S. Johnson,Hari K. Koul,Chris A. Rees,Claudia R. Morris,Julia Garcia-Diaz,Augusto C. Ochoa +25 more
TL;DR: This paper showed that differences in the type, function and transcriptome of granulocytic-MDSC may explain the severity of COVID-19, in particular the association with pulmonary complications.
Journal ArticleDOI
Comparison of Aggregated N-of-1 Trials with Parallel and Crossover Randomized Controlled Trials Using Simulation Studies.
TL;DR: Aggregated N-of-1 trials outperformed both traditional parallel RCT and crossover designs when these trial designs were simulated in terms of power and required sample size to obtain a given power.
Journal ArticleDOI
A National Cancer Database-based nomogram to predict lymph node metastasis in penile cancer.
Taylor C. Peak,Gregory B. Russell,Rahul Dutta,Michael B. Rothberg,Andrew G. Chapple,Ashok K. Hemal +5 more
TL;DR: To evaluate the predictive nature of several clinicopathological variables by developing a nomogram predictive for lymph node‐positive disease using the National Cancer Database cohort of patients with squamous cell carcinoma of the penis.
Journal ArticleDOI
Subgroup-specific dose finding in phase I clinical trials based on time to toxicity allowing adaptive subgroup combination.
Andrew G. Chapple,Peter F. Thall +1 more
TL;DR: A Bayesian design that does precision dose finding based on time to toxicity in a phase I clinical trial with two or more patient subgroups, called Sub-TITE, makes sequentially adaptive subgroup-specific decisions while possibly combining subgroups that have similar estimated dose-toxicity curves.
Journal ArticleDOI
What Factors Are Associated With Implant Failure
TL;DR: Alcohol use, smoking, depression, and penicillin allergy were all associated with an increased probability of failure within 1 or more of the periods considered and this study has identified multiple discrete risk factors for implant failure.