Nicholas C. Henderson

Nicholas C. Henderson

Short biography for the left-hand sidebar

Publications

You can also find a complete list of my articles on my google scholar profile.

A list of papers grouped by topic, with links to relevant data and R code, is provided below.

Heterogeneity of Treatment Effect

  1. Segal, J.B., Varadhan, R., Groenwold, R.H.H., Henderson, N.C.,…, and M. Burcu (2023). Assessing Heterogeneity of Treatment Effect in Real-World Data. Annals of Internal Medicine, 176(4), 536-544.

  2. Henderson, N.C., Louis, T.A., Rosner, G.L., and R. Varadhan (2020). Individualized Treatment Effects with Censored Data via Fully Nonparametric Bayesian Accelerated Failure Time Models. Biostatistics, 21, 50-68.

  3. Lesko, C.R., Henderson, N.C., and R. Varadhan (2018). Considerations when Assessing Heterogeneity of Treatment Effect in Patient-Centered Outcomes Research. Journal of Clinical Epidemiology, 100, 22-31.

  4. Henderson, N.C. and R. Varadhan (2018). Bayesian Bivariate Subgroup Analysis for Risk-Benefit Evaluation. Health Services and Outcomes Research Methodology, 18(4), 244-264.

  5. Wang, C., Louis, T.A., Henderson, N.C., Weiss, C.O., and R. Varadhan (2018). BEANZ: A Web-based Software for Bayesian Analysis of Heterogeneous Treatment Effect in Patient-Centered Outcomes Research. Journal of Statistical Software, 85(7), 1-31.

  6. Henderson, N.C., Louis, T.A., Wang, C., and R. Varadhan (2016). Bayesian Analysis of Heterogeneous Treatment Effects for Patient-Centered Outcomes Research. Health Services and Outcomes Research Methodology, 16(4), 213-233.

Survival Analysis and Bayesian Additive Regression Trees (BART)

  1. Henderson, N.C., Nam, K., and D. Feng (2024). Nonparametric Analysis of Delayed Treatment Effects using Single-Crossing Constraints. Biometrical Journal, 66(2), 2200165.

  2. Henderson, N.C., Louis, T.A., Rosner, G.L., and R. Varadhan (2020). Individualized Treatment Effects with Censored Data via Fully Nonparametric Bayesian Accelerated Failure Time Models. Biostatistics, 21, 50-68.

  3. Ashouri, M. and N.C. Henderson. Generalized Bayesian Additive Regression Trees for Restricted Mean Survival Time Inference. ArXiv preprint

Empirical Bayes/Shrinkage Estimation

  1. Henderson, N.C., Varadhan, R., and T. A. Louis (2023). Improved Small Domain Estimation via Compromise Regression Weights. Journal of the American Statistical Association, 18(544), 2793-2809.

  2. Henderson, N.C. and M.A. Newton (2016). Making the Cut: Improved Ranking and Selection for Large-Scale Inference. Journal of the Royal Statistical Society, Series B, 78, 781-804.

Data Integration/Real-World Evidence

  1. Bhattacharyya, R. Henderson, N., and V. Baladandayuthapani (2023). BaySyn: Bayesian Evidence Synthesis for Multi-system Multiomic Integration. In PACIFIC SYMPOSIUM ON BIOCOMPUTING 2023: Proceedings of the Pacific Symposium, 275 - 286.

  2. Nam, K., Henderson, N.C., Rohan, P., and E. Russek-Cohen (2021). Penalized Logistic Regression Likelihood Ratio Test Analysis to Detect Signals of Adverse Events from Interactions in Postmarket Safety Surveillance. Statistics in Biopharmaceutical Research, 13(4), 405-414.

  3. Henderson, N.C., Varadhan, R., and C. O. Weiss (2017). Cross-Design Synthesis for Extending the Applicability of Trial Evidence when Treatment Effect is Heterogeneous: Part II. Application and External Validation. Communications in Statistics: Case Studies, Data Analysis and Applications, 3, 7-20.

  4. Nam, K., Henderson, N.C., Rohan, P., E.J. Woo, and E. Russek-Cohen (2017). Logistic Regression Likelihood Ratio Test Analysis for Detecting Signals of Vaccine Adverse Events in Vaccine Safety Surveillance. Journal of Biopharmaceutical Statistics, 27, 990-1008.

  5. Varadhan, R., Henderson, N.C., and C. O. Weiss (2016). Cross-Design Synthesis for Extending the Applicability of Trial Evidence when Treatment Effect is Heterogeneous: Part I. Methodology. Communications in Statistics: Case Studies, Data Analysis and Applications, 2, 112-126.

  6. Bhattacharyya, R., Henderson, N.C., and V. Baladandayuthapani. Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Genomic Data.To appear in the Journal of the American Statistical Association, ArXiv preprint here.

Computational Statistics

  1. Tang, B., Henderson, N.C., and R. Varadhan (2023). Accelerating Fixed-Point Algorithms in Statistics and Data Science: A State-of-Art Review. Journal of Data Science, 21(1), 1-26.

  2. Henderson, N.C. and R. Varadhan (2019). Damped Anderson Acceleration with Restarts and Monotonicity Control for Accelerating EM and EM-like Algorithms. Journal of Computational and Graphical Statistics, 28(4), 834-846.

  3. Henderson, N.C. and P.J. Rathouz (2018). AR(1) Latent Class Models for Longitudinal Count Data. Statistics in Medicine, 37, 4441-4456.

  4. McDaniel, L.S., Henderson, N.C., and P.J. Rathouz (2013). Fast Pure R Implementation of GEE: Application of the Matrix Package. The R Journal, 5(1), 181-188.

  5. Henderson, N.C. and Z. Ouyang. Parameter-expanded ECME algorithms for Logistic and Penalized Logistic Regression. ArXiv preprint.

Cancer Applications

Prostate Cancer

  1. Zengin, Z.B., Henderson, N.C., Park, J.J., …, and T. Dorff (2024). Clinical implications of AR alterations in advanced prostate cancer: a multi-institutional collaboration. Prostate Cancer and Prostatic Diseases.

  2. Hwang, C., Henderson, N.C., Cackowski, F.C., …, and P. Barata (2023). Biomarker-directed Therapy in Black and White Men with Metastatic Castration-resistant Prostate Cancer (mCRPC). JAMA Network Open, 6(9), e2334208.

  3. Graham, L., Henderson, N.C., Kellezi, O., …, and M.T. Schweizer (2024). DNA Damaging Therapies in Patients with Prostate Cancer and Pathogenic Alterations in Homologous Recombination Repair Genes. JCO Precision Oncology, 8, e2400014.

Urothelial Cancer

  1. Koshkin, V.S., Henderson, N.C., James, M., …., and A. Alva (2022). Efficacy of enfortumab vedotin in advanced urothelial cancer: analysis from the Urothelial Cancer Network to Investigate Therapeutic Experiences (UNITE) registry. Cancer, 128(6), 1194-1205.

Breast Cancer

  1. Rutherford, D.V., Medley, S., Henderson, N.C., Gersch, C.L.,…, and D.L. Hertz (2023). Effects of CYP3A4 and CYP2C9 genotype on systemic anastrozole and fulvestrant concentrations in SWOG S0226. Pharmacogenomics, 24(12), 665-673.

Drug Sensitivity Prediction

  1. Costello et al. (2014). A community effort to assess and improve drug sensitivity prediction algorithms Nature Biotechnology, 32, 1202–1212.