Published Works and About

Listed as Author

Chapple A. (2016) A Bayesian Reversible Jump Piecewise Hazard approach for modeling rate changes in mass shootings. Journal of Economics and Econometrics. 59 (3). 19-31

https://ideas.repec.org/a/eei/journl/v59y2016i3p19-31.html

Liru H, Chapple A, Liao Z, Komaki R, Thall PF, Lin SH. (2016) Bayesian regression analyses of radiation modality effects on pericardial and pleural effusion and survival in esophageal cancer. Journal of Radiation Oncology IN PRESS

http://ac.els-cdn.com/S0167814016312439/1-s2.0-S0167814016312439-main.pdf?_tid=20399258-8008-11e6-abb1-00000aacb35f&acdnat=1474468487_bd3e4aed9c3799cff42b37df8105bb40

Chapple AG, Vannucci M, Thall PF, Lin SH. Bayesian variable selection for a semi-competing risks model with multiple components. Journal of Computational Statistics and Data Analysis INVITED REVISION

Han KJ, Pitman WD, Chapple A. Moisture Concentration Variation of Silages Produced on Commercial Farms in the South-Central USA. Asian-Australasian Journal of Animal Sciences. 2014;27(10):1436-1442. doi:10.5713/ajas.2014.14095.

http://www.ncbi.nlm.nih.gov/pubmed/25178295

Received Acknowledgement

Smolinsky, L., Lercher, A., & McDaniel, A. (2015). Testing theories of preferential attachment in random networks of citations. Journal of the Association for Information Science and Technology. doi:10.1002/asi.23312.

https://www.researchgate.net/publication/274408017_Testing_theories_of_preferential_attachment_in_random_networks_of_citations_Testing_Theories_of_Preferential_Attachment_in_Random_Networks_of_Citations

Computer Programs:

BayesPieceHazSelect- R program for Bayesian variable selection on covariates in a cox-like hazard with a piecewise exponential baseline hazard.

https://cran.r-project.org/web/packages/BayesPieceHazSelect/BayesPieceHazSelect.pdf

BayesPiecewiseICAR – R program for fitting a piecewise exponential model to survival data.

https://cran.r-project.org/web/packages/BayesPiecewiseICAR/BayesPiecewiseICAR.pdf

SimSCRPiecewise – R program with two simulation functions, both with piecewise hazards.

  1. SimSCRPiecewise: Simulates data from a semi-competing risks model.
  2. SimUnivPiecewise: Simulates data from a piecewise constant hazard.

https://cran.r-project.org/web/packages/SimSCRPiecewise/SimSCRPiecewise.pdf

SCRSELECT – R programs for implementing the SVSS and DIC-Tau_g procedures from the paper:

https://cran.r-project.org/web/packages/SCRSELECT/SCRSELECT.pdf

 

About:

I am currently a Ph.D. candidate in Biostatistics at Rice University, working with faculty at M.D.Anderson Cancer Center. My particular interests include: Clinical Trials, Bayesian Methods, Survival Analysis, Variable Selection, Categorical Data, Econometrics, and Teaching. I hope to improve on existing clinical trial methodology and use Bayesian methods for economic data to improve policy decisions.