Below is a list of selected publications and preprints (* denotes co-authorship). For a complete list, please see my full CV [link].
Methodology
Spieker, A.J., Delaney, J.A.C., and McClelland,R.L. (2015). “Evaluating the treatment effects model for estimation of cross-sectional associations between risk factors and cardiovascular biomarkers influenced by medication use.” Pharmacoepidemiology and Drug Safety, 24(12), 1286-1296. [link]
Spieker, A.J. and Huang, Y. (2017). “A method to address between-subject heterogeneity for identification of principal surrogate markers in repeated low-dose challenge HIV vaccine studies.” Statistics in Medicine, 36(26), 4167-4181. [link]
Spieker, A.J., Roy, J.A., and Mitra, N. (2018). “Analyzing medical costs with time-dependent treatment: The nested g-formula.” Health Economics, 27(7), 1063-1073. [link]
Spieker, A.J., Delaney, J.A.C., and McClelland,R.L. (2018). “A method to account for covariate- specific treatment effects when estimating biomarker associations in the presence of endogenous medication use.” Statistical Methods in Medical Research, 27(8), 2279-2293. [link]
Spieker, A.J., Ko, E., Roy, J.A., and Mitra, N. (2020). “Nested g-computation: a causal approach to analysis of censored medical costs in the presence of time-varying treatment.” Journal of the Royal Statistical Society, Series C, 69(5), 1189-1208. [link] [arXiv]
Spieker, A.J., Illenberger, N., Roy, J., Mitra, N. (2021). “Net benefit separation and the determination curve: a probabilistic framework for cost-effectiveness estimation.” Statistical Methods in Medical Research, 30(5), 1306-1319. [link] [arXiv]
Spieker, A.J., Delaney, J.A.C, and McClelland, R.L. (2021). “Semi-parametric estimation of biomarker age trends with endogenous medication use in longitudinal data.” Observational Studies, 7, 127-147. [link] [arXiv]
Nelson, L.A.*, Spieker, A.J.*, Mayberry, L.S., McNaughton, C., Greevy, R. (2022). “Estimating the impact of engagement with digital health interventions on patient outcomes in randomized trials.” Journal of the American Medical Informatics Association, 29(1), 128-136. [link]
Spieker, A.J., Greevy, R., Nelson, L., and Mayberry, L. (2022). “Bounding the local average treatment effect in an instrumental variable analysis of engagement with a mobile intervention.” The Annals of Applied Statistics, 16(1), 60-79. [link] [arXiv]
Illenberger, N., Mitra, N., and Spieker, A.J. (2022). “A regression framework for a probabilistic measure of cost-effectiveness.” Health Economics, 31(7), 1438-1451. [link] [arXiv]
Applications
Wang, L., Spieker, A.J., Li, J., and Rutkove, S.B. (2011). “Electrical impedance myography for monitoring motor neuron loss in the SOD1 G93A amyotrophic lateral sclerosis rat.” Clinical Neurophysiology 122(12), 2505-2511. [PubMed]
Spieker, A.J., Narayanaswami, P., Fleming, L., Keel, J.C., Muzin, S.C., and Rutkove, S.B. (2013). “Electrical impedance myography in the diagnosis of radiculopathy.” Muscle and Nerve 48(5), 800-805. [PubMed]
Hsi, R.S., Spieker, A.J., Stoller, M.L., Jacobs, D.R., Jr., Reiner, A.P., McClelland, R.L., Kahn, A.J., Chi, T., Szklo, M., and Sorensen, M.D. (2015). “Coronary artery calcium score and association with recurrent nephrolithiasis: the Multi-Ethnic Study of Atherosclerosis.” Journal of Urology 195(4), 971-976. [PubMed]
Nelson, L.A., Spieker A.J., Greevy, R., LeStourgeon, L.M., Wallston, K.A., and Mayberry, L.S. (2020). “User engagement remains high among diverse adults during a 12-month text message-delivered diabetes support intervention.” JMIR mHealth and uHealth, 8(7), e17534. [PubMed]
Schmidt, H.*, Spieker, A.J.*, Luo, T., Szymczak, J., and Grande, D. (2021). “Physicians and Medicaid work requirements: Variability in primary care physician attitudes toward Medicaid Work Requirement exemption requests made by patients with depression.” JAMA Health Forum, 2(10), e212932. [link]
Haddadin, Z., Schuster, J.E., Spieker, A.J., Rahman, H., Blozinski, A., Stewart, L., Campbell, A.P., Lively, J.Y., Michaels, M.G., Williams, J.V., Boom, J.A., Sahni, L.C., Staat, M., McNeal, M., Selvarangan, R., Harrison, C.J., Weinberg, G.A., Szilagyi, P.G., Englund, J.A., Klein, E.J., Curns, A.T., Rha, B., Langley, G.E., Hall, A.J., Patel, M.M., Halasa, N.B. (2021). “Acute respiratory illnesses in children in the SARS-CoV-2 pandemic: Prospective multicenter study.” Pediatrics, 148(2), e2021051462. [PubMed]
Spieker, A.J.*, Gordetsky, J.*, Maris, A.S., Dehan, L.M., Denney, J.E., Arnold Egloff, S.A., Scarpato, K., Barocas, D., Giannico, G.A. (2021). “PTEN expression and morphologic patterns in prostatic adenocarcinoma.” Histopathology, 79(6), 1061-1071. [PubMed]
Yanis, A.*, Haddadin, Z.*, Spieker, A.J., Waqfi, D., Talj, R., Rankin, D.A., Thomas, L., Birdwell, K.A., Ezzell, L., Blair, M., Eason, J., Varjabedian, R., Warren, C.M., Nochowicz, C.H., Olson, E.C., Simmons, J.D., Yoder, S., Guy, M., Thomsen, I., Chappell, J.D., Kalams, S.A., Halasa, N.B. (2022) “Humoral and cellular immune responses to the SARS-Cov-2 BNT162b2 vaccine in a cohort of solid organ transplant recipients and healthy controls.” Transplant Infectious Disease, 24(1), e13772. [PubMed]
Spieker, A.J., Nelson, L.A., Rothman, R., Roumie, C., Kripilani, S., Coco, J., Fabbri, D., Levy, P., Collins, S.P., Wang, T., McNaughton, C.D. (2022). “Feasibility and short-term effects of a multi-component emergency department blood pressure intervention: A pilot randomized trial.” Journal of the American Heart Association, 11(5), e024339. [link]
Probst, V.*, Spieker, A.J.*, Stopczynski, T., Stewart, L.S., Haddadin, Z., Selvarangan, R., Harrison, C.J., Schuster, J.E., Staat, M.A., McNeal, M., Weinberg, G.A., Szilagyi, P.G., Boom, J.A., Sahni, L.C., Englund, J., Klein, E.J., Williams, J.V., Michaels, M.G. (2022+) “Clinical presentation and severity of adenovirus detection alone vs adenovirus co-detection with other respiratory viruses in US children with acute respiratory illness from 2016 to 2018.” To appear in Journal of the Pediatric Infectious Diseases Society. [PubMed]
Invited commentaries
Spieker, A.J. “Comment on `Penalized Spline of Propensity Methods for Treatment Comparison’ by Zhou, Elliott, and Little.” (2019). Journal of the American Statistical Association. 114(S25), 20-23. [link]
Software