An R package for auxiliary information-assisted estimation and inference for survival analysis with both low and high dimensional covariates.
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Updated
Nov 5, 2024
An R package for auxiliary information-assisted estimation and inference for survival analysis with both low and high dimensional covariates.
Deriving adjusted relative risk from logistic regression
A biologically motivated mathematical formalism is used to estimate the relative risks of breast, lung and thyroid cancers in childhood cancer survivors due to concurrent therapy regimen. This model specifically includes possible organ-specific interaction between radiotherapy and chemotherapy. The model predicts relative risks for developing se…
Ecological study for COVID-19 using aggregate data of Catalonia using RStudio
Based upon CDC data provided by the USA government, this study explores the relative risk of dying with Covid in 2021 as compared to 2020.
We employed a biologically motivated mathematical model to estimate the radiation and chemotherapy-induced relative risks of thyroid malignancies in four childhood cancer study survivors (CCSS) data sets. the predictions of radiation and chemotherapy-induced relative risks of secondary thyroid malignancies using the mathematical model are compar…
This project explores the results presented in Stabell-Benn, et alia, "Do Adenovirus-Vector Vaccines Have Beneficial Non-Specific Effects?" (5 April 2022) @ at SSRN: https://ssrn.com/abstract=4072489 or @ http://dx.doi.org/10.2139/ssrn.4072489
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