2017 Publications

Babette Brumback, PhD.

  • Mathias B, Delmas AL, Ozrazgat-Baslanti T, Vanzant EL, Szpila BE, Mohr AM, Moore FA, Brakenridge SC, Brumback BA, Moldawer LL, Efron PA, and the Sepsis Critical Illness Research Center Investigators (2017). “Human Myeloid-derived Suppressor Cells are Associated with Chronic Immune Suppression After Severe Sepsis/Septic Shock.” Annals of Surgery, 265: 827-834.
  • Helian S*, Brumback BA, Cook, RL (2017). “Sparse Canonical Correlation Analysis Between an Alcohol Biomarker and Self-reported Alcohol Consumption.” Communications in Statistics – Simulation and Computation, in press. Available online: http://dx.doi.org/10.1080/03610918.2016.1255971.
  • Corbett DB, Wanigatunga AA, Valiani V, Handberg EM, Buford T, Brumback B, Casanova R, Janelle CM, Manini TM (2017). “Metabolic Costs of Daily Activity in Older Adults (Chores XL) Study: Design and Methods.” Contemporary Clinical Trials Communications, 6: 1-8.
  • Crowley SJ, Huang H, Tanner JJ, Zho Q, Schwab NA, Hizel LP, Ramon D, Brumback B, Ding M, Price CC (2017). “Considering Total Intracranial Volume and Other Nuisance Variables in Brain Voxel Based Morphometry in Idiopathic PD.” Brain Imaging and Behavior, DOI: 10.1186/s12884-016-1190-7.
  • Grattan LM, Brumback B, Roberts SM, Buckingham-Howes S, Toben AC, Morris G (2017). “’Bouncing Back’ after the Deepwater Horizon Oil Spill.” Disaster Prevention and Management, 26: 122-133.
  • Wen X, Hartzema A, Delaney JA, Brumback B, Liu Xuefeng, Egerman R, Roth J, Segal R, Meador KJ (2017). “Combining Adverse Pregnancy and Perinatal Outcomes for Women Exposed to Antiepileptic Drugs during Pregnancy, Using a Latent Trait Model.” BMC Pregnancy and Childbirth, 17:10, pp1-11. DOI: 10.1186/s12884-016-1190-7

Yueh-Yun Chi, PhD.

  • Ferrari A, Chi YY, de Salvo GL, Orbach D, Brennan B, Randall RL, McCarville MB, Black JO, Alaggio R, Hawkins DS, Bisogno G, and Spunt SL (2017) Surgery alone is sufficient therapy for children and adolescents with low-risk synovial sarcoma: a joint analysis from the European paediatric Soft tissue sarcoma Study Group and the Children’s Oncology Group. European Journal of Cancer, in press.
  • Petersen JW, Liu J, Chi YY, Lingis M, Williams RS, Rhoton-Vlasak A, Segal MS, Conrad K (2017) Comparison of Multiple Non-Invasive Methods of Measuring Cardiac Output During Pregnancy Reveals Marked Heterogeneity in the Magnitude of Cardiac Output Change Between Women. Physiological Reports, in press.
  • Ermoian RP, Breneman J, Walterhouse DO, Chi YY, Meza J, Anderson J, Hawkins DS, Hayes-Jordan AA, Parham DM, Yock TI, Donaldson SS, Wolden SL (2017) 45Gy is Not Sufficient Radiotherapy Dose for Group III Orbital Embryonal Rhabdomyosarcoma after less than Complete Response to 12 weeks of ARST0331 Chemotherapy. A Report from the Soft Tissue Sarcoma Committee of the Children’s Oncology Group. Pediatric Blood & Cancer, in press.
  • Gupta AA, Chi YY, Anderson J, Lyden E, Weigel B, Arndt C, Meyer W, Rosenberg AR, Hawkins DS (2017) Patterns of Chemotherapy-Induced Toxicities and Outcome in Children and Adolescents with Metastatic Rhabdomyosarcoma: a report from the Children’s Oncology Group. Pediatric Blood & Cancer, in press.
  • Venkatramani R, Chi YY, Coppes MJ, Malogolowkin M, Kalapurakal JA, Tian J, and Dome JS (2017) Outcome of Patients with Intracranial Relapse Enrolled on National Wilms Tumors Study Group Clinical Trials. Pediatric Blood & Cancer, in press.
  • Gratias E, Dome JS, Jennings LJ, Chi YY, Tian J, Anderson J, GrundyP, Mullen EA, Geller JI, Fernandez CV, Perlman EJ (2017) Association of Chromosome 1q Gain with Inferior Survival in Favorable Histology Wilms Tumor: A Report from the Children’s Oncology Group. Journal of Clinical Oncology, in press.
  • Fernandez CV, Perlman EJ, Mullen EA, Chi YY, Hamilton TE, Gow KW, Ferrer FA, Barnhart D, Ehrlich PF, Khanna G, Kalapurakal JA, Bocking T, Huff V, Tian J, Geller JI, Grundy PE, Anderson JR, Dome JS, Shamberger RC (2017) Clinical Outcome and Biological Predictors of Relapse Following Nephrectomy Only for Very Low-Risk Wilms tumor (VLRWT). A report from Children’s Oncology Group AREN0532. Annals of Surgery, in press.

Somnath Datta, PhD.

  • Vahabi, N.*, Kazemnejad, A., and Datta, S. A joint overdispersed marginalized random effects model for analyzing two or more longitudinal ordinal responses. Statistical Methods in Medical Research, to appear (2017).
  • Vahabi, N.*, Kazemnejad, A., Datta, S. Empirical Bayesian geographical mapping of occupational accidents among Iranian workers. Archives of Iranian Medicine, 20, 5 (2017).
  • Choo-Wosoba, H.* and Datta, S. Analyzing clustered count data with a cluster specific random effect zero-inflated Conway-Maxwell Poisson distribution. Journal of Applied Statistics, to appear (2017). Epub ahead of print doi: 10.1080/02664763.2017.1312299
  • Sekula, M.*, Datta, S., and Datta, S. optCluster: An R package for determining the optimal clustering algorithm. Bioinformation, 13, 100-103 (2017).
  • Nevalainen, J., Oja, H., and Datta, S. Tests for informative cluster size using a novel balanced bootstrap scheme. Statistics in Medicine, to appear (2017).
  • Pesonen, M.*, Nevalainen, J., Potter, S. S, Datta, S., Datta, S. A Combined PLS and negative binomial regression model for inferring association networks from next-generation sequencing count data. IEEE/ACM Transactions on Computational Biology and Bioinformatics, to appear (2017). Epub ahead of print doi: 10.1109/TCBB.2017.2665495, PMID: 28186904
  • Abdia, Y.*, Kulasekera, K. B., Datta, S., Boakye, M., and Kong, M. Propensity scores based methods for estimating average treatment effect and average treatment effect among treated: A comparative study. Biometrical Journal , to appear (2017). Epub ahead of print doi:10.1002/bimj.201600094. PMID: 28436047.
  • Lorenz, D. J., Levy, S., and Datta, S. Inferring marginal association with paired and unpaired clustered data with applications to dental studies. Statistical Methods in Medical Research, to appear (2017). Epub ahead of print doi: 10.1177/0962280216669184
  • Dutta, S.*, Datta, S. and Datta, S. Temporal prediction of future state occupation in a multistate model from high dimensional baseline covariates via pseudo-value regression. Journal of Statistical Computation and Simulation, to appear (2017). Epub ahead of print doi:10.1080/00949655.2016.1263992
  • Datta, S. Robust regression analysis of longitudinal data under censoring. Austrian Journal of Statistics, 46, 3-11 (2017).
  • Lan, L., Bandyopadhyay, D., and Datta, S. Nonparametric regression in clustered multistate current status data with informative cluster size. Statistica Neerlandica, 71, 31-57 (2017). PMID: 28436047.
  • Mertens, B. J. A., Datta, S., Brand, R. and Peul, W. Causal effect estimation strategies in a longitudinal study with complex time-varying confounders: A tutorial. Statistical Methods in Medical Research, 26, 337-355 (2017). PMID: 25147227.

Susmita Datta, PhD.

  • Pesonen, M.*, Nevalainen, J., Potter, S. S, Datta, S., Datta, S. A Combined PLS and negative binomial regression model for inferring association networks from next-generation sequencing count data. IEEE/ACM Transactions on Computational Biology and Bioinformatics, to appear (2017). Epub ahead of print doi: 10.1109/TCBB.2017.2665495, PMID: 28186904

Natalie Dean, PhD.

  • World Health Organization (lead author Dean NE) (2017). Informing Vaccination Programs: A Guide to the Design and Conduct of Dengue Serosurveys. Available at: http://www.who.int/immunization/documents/research/WHO_IVB_17.07/en/

Meenakshi Devidas, PhD.

  • Winick N, Devidas M, Chen S, Maloney K, Larsen E, Mattano L, Borowitz MJ, Carroll A, Gastier-Foster JM, Heerema NA, Willman C, Wood B, Loh ML, Raetz E, Hunger SP, Carroll WL. Impact of Initial CSF Findings on Outcome Among Patients With National Cancer Institute Standard- and High-Risk B-Cell Acute Lymphoblastic Leukemia: A Report From the Children’s Oncology Group. Journal of Clinical Oncology. 2017 May 23:JCO2016714774. doi: 10.1200/JCO.2016.71.4774. [Epub ahead of print] PMID: 28535084
  • Reshmi SC, Harvey RC, Roberts KG, Stonerock E, Smith A, Jenkins H, Chen IM, Valentine M, Liu Y, Li Y, Shao Y, Easton J, Payne-Turner D, Gu Z, Tran TH, Nguyen JV, Devidas M, Dai Y, Heerema NA, Carroll AJ 3rd, Raetz EA, Borowitz MJ, Wood BL, Angiolillo AL, Burke MJ, Salzer WL, Zweidler-McKay PA, Rabin KR, Carroll WL, Zhang J, Loh ML, Mullighan CG, Willman CL, Gastier-Foster JM, Hunger SP. Targetable kinase gene fusions in high risk B-ALL: a study from the Children’s Oncology Group. Blood. 2017 Apr 13. pii: blood-2016-12-758979. doi: 10.1182/blood-2016-12-758979. [Epub ahead of print] PubMed PMID: 28408464.
  • Karol SE, Larsen E, Cheng C, Cao X, Yang W, Ramsey LB, Fernandez CA, McCorkle JR, Paugh SW, Autry RJ, Lopez-Lopez E, Diouf B, Jeha S, Pui CH, Raetz EA, Winick NJ, Carroll WL, Hunger SP, Loh ML, Devidas M, Evans WE, Yang JJ, Relling MV. Genetics of ancestry-specific risk for relapse in acute lymphoblastic leukemia. Leukemia. 2017 Jan 18. doi: 10.1038/leu.2017.24. [Epub ahead of print] PubMed PMID: 28096535.
  • Liu Y, Fernandez CA, Smith C, Yang W, Cheng C, Panetta JC, Kornegay N, Liu C, Ramsey LB, Karol SE, Janke LJ, Larsen EC, Winick N, Carroll WL, Loh ML, Raetz EA, Hunger SP, Devidas M, Yang JJ, Mullighan CG, Zhang J, Evans WE, Jeha S, Pui CH, Relling MV. Genome-wide study links PNPLA3 variant with elevated hepatic transaminase after acute lymphoblastic leukemia therapy. Clinical Pharmacology and Therapeutics. 2017 Jan 16. doi: 10.1002/cpt.629. [Epub ahead of print] PubMed PMID: 28090653.

Steven Foti, PhD.

Zhiguang “Caleb” HUo, PhD.

  • Zhiguang Huo, Chi Song, George C. Tseng. (2017) Bayesian latent hierarchical model for transcriptomic meta-analysis to detect biomarkers with clustered meta-patterns of differential expression signals. Submitted to Annals of Applied Statistics (under revision).
  • Zhiguang Huo, George C. Tseng. (2017) Integrative Sparse K-means with overlapping group lasso in genomic applications for disease subtype discovery. Submitted to Annals of Applied Statistics (In press).
  • SungHwan Kim, Dongwan Kang, Zhiguang Huo, Yongseok Park, George C. Tseng. (2017) Meta analytic principal component analysis in integrative omics application. (under revision).
  • Abraham Apfel, Zhiguang Huo, George Tseng and Stewart J. Anderson (2017) Achieving Accurate and Stable Feature Selection via Sparse K-means. (submitted)

John Kairalla, PhD.

Eben Kenah, PhD.

Faming Liang, PhD.

  • Tianzhou Ma,  Faming Liang, and George C. Tseng (2017). Biomarker detection and categorization in ribonucleic acid sequencing meta-analysis using Bayesian hierarchical models. Applied Statistics, in press
  • Luo, X., Huang, J., Liang, F., Canalesm J.R., Wistuba, I.I., Gazdar, A., Xie, Y., and Xiao, G. (2017). Comprehensive Computational Pathological Image Analyses Predict Lung Cancer Prognosis. Journal of Thoracic Oncology, 12(3), 501-509.
  • Lee, S., Liang, F., Cai, L. and Xiao, G. (2017) Integrative analysis of gene networks and their application to lung adenocarinoma studies. Cancer Informatics: 16.
  • Li, X., Campbell-Thompson, M., Wasserfall, C.H., McGrail, K., Posgai, A., Schultz, A.R., Brusko, T.M., Shuster, J., Liang, F., Muir, A., Schatz, D., Haller, M. and Atkinson, M.A. (2017).  Serum tryosinogen levels in pre-type 1 diabetes–A novel biomarker associating with disease risk.  Diabetes Care,  40(4), 577-582.
  • Jia, B., Xu, S., Lamba, V.,  Xiao, G., and Liang, F. (2017) Inference of Genetic Network with Next Generation Sequencing Data. Biometrics, in press.
  • Yu, D., Lim, J., Wang, X., Tang, H., Liang, F. and Xiao, G. (2017) Enhanced construction of gene regulatory networks using hub gene information. BMC Bioinformatics, in press.
  • Li, Qi, Yi, F., Wang, T., Xiao, G. and Liang, F. (2017) Lung cancer pathological image analysis using a hidden Potts model. Cancer Informatics, in press. Algorithm Implementation
  • Ma, T., Liang, F., Oesterreich, S., and Tseng, G.C. (2017). A joint Bayesian modeling for integrating microarray and RNA-seq transcriptomic data. Journal of Computational Biology, in press.
  • Xue, J. and Liang, F. (2017). A Robust Model-Free Feature Screening Method for Ultrahigh-Dimensional Data. Journal of Computational and Graphical Statistics, in press.
  • Lee, S., Liang, F., Cai, L. and Xiao, G. (2017) A two-stage approach of gene network analysis for high-dimensional heterogeneous data.  Biostatistics, in press.

Ira Longini

  • Henao-Restrepo A-M, Camacho A, Longini IM, Watson CH, Edmunds WJ, Egger M, NE, Carroll, Dean MW, Diatta, I, Doumbia M, Draguez B, Duraffour S, Enwere G, Grais R, Gunther S, Gsell P-S, Hossmann S, Watle SV, Kondé MK, Kieta S, Kone S, Kuisma, E, Levine M, Mandal S, Mauget T, Norheim G, Riveros X, Soumah A, Trelle S, Vicari AS, Røttingen J-A, Kieny M-P: Efficacy and effectiveness of an rVSV-vectored vaccine in preventing Ebola virus disease: final results from the Guinea ring vaccination, open-label, cluster-randomised trial (Ebola Ça Suffit!). The Lancet 389, 505-18 (2017).
  • Kirpich A, Weppelmann TA, Yang Y, Morris JG, Longini IM: Controlling Cholera in the Ouest Department of Haiti Using Oral Vaccines. PLoS Neglected Tropical Diseases https://doi.org/10.1371/journal.pntd.0005482 (2017).
  • Zhang Q, Sun K, Chinazzi M, Pastore-Piontti A, Dean NE, Rojas DP, Merler S, Mistry D, Poletti P, Rossi L, Bray M, Halloran ME, Longini IM, Vespignani A.: Projected spread of Zika virus in the Americas. PNAS. doi: 10.1073/pnas.1620161114 (2017).
  • Wilder-Smith A, Longini IM, Zuber PL, Bärnighausen T, Edmunds WJ, Dean N, Masserey Spicher V, Benissa M, Gessner BD: Public health value of vaccines beyond efficacy: methods, measures and outcomes. BMC Medicine (In print).

Sue McGorray, PhD.

Arlene, Naranjo, PhD.

  • Applebaum, M.A., Vaksman, Z., Hungate, E.A., Henderson, T.O., London, W.B., Pinto, N., Volchenboum, S.L., Park, J.R., Naranjo, A., Hero, B., Pearson, A.D., Cohn, S.L., and Diskin, S.J. (2017). Neuroblastoma Survivors are at Increased Risk for Second Malignancies: A Report from the International Neuroblastoma Risk Group Project. European Journal of Cancer 72: 177–85. DOI: 10.1016/j.ejca.2016.11.022.
  • DuBois, S.G., Mody, R., Naranjo, A., Van Ryn, C., Russ, D., Oldridge, D., Kreissman, S., Baker, D.L., Parisi, M., Shulkin, B., Bai, H., Diskin, S., Batra, V., Maris, J.M., Park, J.R., Matthay, K.K., and Yanik, G. (2017). MIBG Avidity Correlates with Clinical Features, Tumor Biology, and Outcomes in Neuroblastoma: A Report from the Children’s Oncology Group. Pediatric Blood & Cancer. DOI: 10.1002/pbc.26545.
  • Mody, R., Naranjo, A., Van Ryn, C., Yu, A.L., London, W.B., Shulkin, B.L., Parisi, M.T., Servaes, S., Dicciani, M.B., Reisfeld, R.A., Gillies, S.D., Sondel, P.M., Maris, J.M., Park, J.R., and Bagatell, R. (2017). Randomized Phase II Trialof Irinotecan/Temozolomide with Temsirolimus or Dinutuximab plus Granulocyte Colony Stimulating Factor in Children with Refractory or Relapsed Neuroblastoma: A Report from The Children’s Oncology Group (COG). Lancet Oncology. DOI: 10.1016/S1470‐2045(17)30355‐8.
  • Erbe, A.K., Wang, W., Reville, P.K., Carmichael, L., Kim, K., Mendonca, E.A., Song, Y., Hank, J.A., London, W.B., Naranjo, A., Hong, F., Hogarty, M.D., Maris, J.M., Park, J.R., Ozkaynak, M.F., Miller, J.S., Gilman, A.L., Kahl, B., Yu, A.L., and Sondel, P.M. (2017). HLA‐Bw4 Isoforms Differentially Influence Clinical Outcome in Monoclonal Antibody‐Based Cancer Immunotherapy. Frontiers in Immunology. DOI: 10.3389/fimmu.2017.00675.
  • Campbell, K., Gastier‐Foster, J., Naranjo, A., Van Ryn, C., Bagatell, R., Matthay, K.K., London, W.B., Hogarty, M., Park, J.R., and DuBois, S.G. (2017). Association of MYCN Copy Number with Clinical Features, Tumor Biology, and Outcomes in Neuroblastoma: A Report from the Children’s Oncology Group. Cancer.

Robert Parker, PhD.

Qinglin Pei, PhD.

  • Jia H., Pei Q., Sullivan CT., Cowper Ripley DC., Wu SS., Vogel WB., Wang X. (2017), Bidelspach DE., Hale-Gallardo JL., Bates B.E. Regional variation in post-stroke rehabilitation care among Veteran residents in community nursing homes. The Journal of Multidisciplinary Healthcare,10:75-85
  • Dahodwala, N., Pei, Q., Wu, S., Schmidt, P., Cubillos, F., Dahodwala, N. Sex Differences in Clinical Progression of Parkinson’s Disease, Journal of Obstetric, Gynecologic and Neonatal Nursing, 45(5):749-56

Peihua Qiu, PhD.

  • Dave, C.V., Kesselheim, A.S., Fox, E.R., Qiu, P., and Hartzema, A., “High generic drug prices and market competition levels: a retrospective cohort study,”Annals of Internal Medicine, in press.
  • Chen, Z., Huang, H., and Qiu, P., “An Improved Two-Stage Procedure to Compare Hazard Curves,” Journal of Statistical Computation and Simulation, 87, 2017, 1877–1886.
  • Li, J., and Qiu, P., “Construction of An Efficient Multivariate Dynamic Screening System,” Quality and Reliability Engineering International, in press.
  • Park, K.Y.*, and Qiu, P., “Evaluation of the Treatment Time-Lag Effect for Survival Data,” Life-Time Data Analysis, in press.
  • Qiu, P., “Statistical Process Control Charts as a Tool for Analyzing Big Data,” In Big and Complex Data Analysis: Statistical Methodologies and Applications (Ejaz Ahmed ed.), 123–138, Springer, 2017.
  • Qiu, P., “Peter Hall: My Mentor, Collaborator, and Friend,” Statistica Sinica, in press.
  • Qiu, P., Yang, K.*, and You, L.*, Discussion of “Post Selection Shrinkage Estimation for High Dimensional Data Analysis,” Applied Stochastic Models in Business and Industry, 33, 2017, 123–125.
  • Song, H., and Qiu, P., “A Parametric Intensity-Based 3D Image Registration Method for Magnetic Resonance Imaging,” Signal, Image and Video Processing, 11, 2017, 455–462.
  • Song, H., and Qiu, P., “Intensity-Based 3D Local Image Registration,”Pattern Recognition Letters, 94, 2017, 15–21.
  • Zang, Y., and Qiu, P., “Phase I Monitoring of Spatial Surface Data from 3D Printing,” Technometrics, in press.

Sam Wu, PhD.

  • Lu X, He Y, Wu SS. Interval estimation in multi-stage drop-the-losers designs. Statistical Method in Medical Research. (to appear) (PMID: 26980742)
  • Wu SS, Chen S, Bhattacharjee A, He Y. (2017). Collusion resistant multi-matrix masking for privacy-preserving data collection. Proc. IEEE International Conference on Big Data Security on Cloud, Beijing, China, May 2017.
  • Zhou Y, Zhou Y, Chen SG, and Wu SS. (2017). Achieving Strong Privacy in Online Survey. Proc. of IEEE ICDCS, Atlanta, GA, USA, June 2017.
  • Wu SS, Chen S, Burr D, Zhang L. (2017). A new data collection technique for preserving privacy. J Privacy and Confidentiality. Volume 7, Issue 3, Article 5.

Yang, Yang, PhD.

Baiming Zou, PhD.

Fei Zou, PhD.