Software

• SpMeta: Spatial Meta-Analysis/Regression Modeling (Author: Warren JL)
  • Lin S, Chang HH, Darrow LA, Strickland MJ, Fitch A, Newman A, Zheng X, and Warren JL (2025). Identifying county-level effect modifiers of the association between heat waves and preterm birth using a Bayesian spatial meta regression approach. Under Review.
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• BPTR: Bernstein Polynomial Temporal Realignment (Author: Warren JL)
  • Warren JL, Prunas O, and Shen LL (2025). Studying the long-term natural history of diseases using a shape-restricted nonparametric temporal realignment method. Under Review.
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• Bandits: Bandit Algorithms for Infectious Disease Surveillance (Author: Warren JL)
  • Warren JL, Prunas O, Paltiel AD, Thornhill T, and Gonsalves GS (2025). Integrating testing volume into bandit algorithms for infectious disease surveillance. Journal of the Royal Statistical Society: Series A, In Press.
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• KDExp: Kernel Density Estimation Prior Distribution for Exposure Uncertainty Propagation (Author: Warren JL)
  • Comess S, Chang HH, and Warren JL (2024). A Bayesian framework for incorporating exposure uncertainty into health analyses with application to air pollution and stillbirth. Biostatistics, 25(1):20-39.
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• GenePair: Statistical Methods for Modeling Spatially-Referenced Paired Genetic Relatedness Data (Author: Warren JL)
  • Warren JL, Chitwood MH, Sobkowiak B, Colijn C, and Cohen T (2023). Spatial modeling of M. tuberculosis transmission with dyadic genetic relatedness data. Biometrics, 79(4):3650-3663.
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• CWVSmix: Critical Window Variable Selection for Mixtures (Author: Warren JL)
  • Warren JL, Chang HH, Warren LK, Strickland MJ, Darrow LA, and Mulholland JA (2021). Critical window variable selection for mixtures: estimating the impact of multiple air pollutants on stillbirth. Annals of Applied Statistics, 16(3):1633-1652.
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• KSBound: Kernel Stick-Breaking Prior Distribution for Spatial Boundary Detection (Author: Warren JL)
  • Warren JL, Cai J, Johnson JP, and Deziel NC (2021). A discrete kernel stick-breaking model for detecting spatial boundaries in hydraulic fracturing wastewater disposal well placement across Ohio. Journal of the Royal Statistical Society: Series C, 71(1):175-193.
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• DVCP: Directionally-Varying Change Points Model (Author: Warren JL)
  • Song J and Warren JL (2021). A directionally-varying change points model for quantifying the impact of a point source. Journal of Agricultural, Biological and Environmental Statistics, 27(1):46-62.
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• DLfuse: Distributed Lag Data Fusion for Estimating Ambient Air Pollution (Author: Warren JL)
  • Warren JL, Miranda ML, Tootoo JL, Osgood CE, and Bell ML (2020). Spatial distributed lag data fusion for estimating ambient air pollution. Annals of Applied Statistics, 15(1):323-342.
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• SpGPCW: Spatially Varying Gaussian Process Model for Critical Window Estimation (Author: Warren JL)
  • Warren JL, Luben TJ, and Chang HH (2020). A spatially-varying distributed lag model with application to air pollution and term low birth weight study. Journal of the Royal Statistical Society: Series C, 69(3):681-696.
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• CWVS: Critical Window Variable Selection (Author: Warren JL)
  • Warren JL, Kong W, Luben TJ, and Chang HH (2020). Critical window variable selection: estimating the impact of air pollution on very preterm birth. Biostatistics, 21(4):790-806.
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• womblR: Spatiotemporal Boundary Detection Model for Areal Unit Data (Author: Berchuck SI)
  • Berchuck SI, Mwanza JC, and Warren JL (2019). Diagnosing glaucoma progression with visual field data using a spatiotemporal boundary detection method. Journal of the American Statistical Association, 114(527):1063-1074.
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• SIFA: Tumor Subclone Identification by Feature Allocation (Author: Zeng L)
  •  Zeng L, Warren JL, and Zhao H (2019). Phylogeny-based tumor subclone identification using a Bayesian feature allocation model, Annals of Applied Statistics, 13(2):1212-1241.
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• spCP: A Spatially Varying Change Points Model for Monitoring Glaucoma Progression Using Visual Field Data (Author: Berchuck SI)
  • Berchuck SI, Mwanza JC, and Warren JL (2019). A spatially varying change points model for monitoring glaucoma progression using visual field data, Spatial Statistics, 30(2019):1-26.
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• Spillover: Spatial Change Point Estimation Due to Spillover from a Point Source (Author: Warren JL)
  • Warren JL, Grandjean L, Moore DAJ, Lithgow A, Coronel J, Sheen P, Zelner JL, Andrews JR, and Cohen T (2018). Investigating spillover of multidrug-resistant tuberculosis from a prison: a spatial and molecular epidemiological analysis. BMC Medicine, 16(122):1-9.
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• 3BClustLonG: A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data (Author: Sun J)
  • Sun J, Herazo-Maya JD, Kaminski N, Zhao H, and Warren JL (2017). A Dirichlet process mixture model for clustering longitudinal gene expression data. Statistics in Medicine, 36(22):3495-3506.
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• BCSub: A Bayesian Semiparametric Factor Analysis Model for Subtype Identification (Clustering) (Author: Sun J)
  • Sun J, Warren JL, and Zhao H (2017). A Bayesian semiparametric factor analysis model for subtype identification. Statistical Applications in Genetics and Molecular Biology, 16(2):145-158
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• GPCW: Gaussian Process Model for Critical Window Estimation (Author: Warren JL)
  • Warren JL, Fuentes M, Herring AH, and Langlois PH (2012). Spatial-temporal modeling of the association between air pollution exposure and preterm birth: identifying critical windows of exposure. Biometrics, 68(4):1157-1167. (Winner of 2012 Best Paper in Biometrics Award)
  • Warren JL, Fuentes M, Herring AH, and Langlois PH (2013). Air pollution metric analysis while determining susceptible periods of pregnancy for low birth weight. ISRN Obstetrics and Gynecology, 2013:387452.
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