F. Stingo

发表

On the estimation of a binary response model in a selected population.

E. Stanghellini, F. Stingo, R. Capobianco, 2011, Journal of statistical planning and inference.

High quality machine-robust image features: identification in nonsmall cell lung cancer computed tomography images.

M. Martel, L. Court, F. Stingo, 2013, Medical physics.

A Bayesian Approach for Learning Gene Networks Underlying Disease Severity in COPD

Christine B. Peterson, R. Bowler, M. Vannucci, 2016, Statistics in Biosciences.

Bayesian Hierarchical Varying-Sparsity Regression Models with Application to Cancer Proteogenomics

Yang Ni, R. Akbani, V. Baladandayuthapani, 2018, Journal of the American Statistical Association.

Integrative Bayesian Network Analysis of Genomic Data

Yang Ni, V. Baladandayuthapani, F. Stingo, 2014, Cancer informatics.

Using Pretreatment Radiomics and Delta-Radiomics Features to Predict Non-Small Cell Lung Cancer Patient Outcomes.

R Mohan, L Zhang, P Balter, 2017, International journal of radiation oncology, biology, physics.

Delta-radiomics features for the prediction of patient outcomes in non–small cell lung cancer

Peter Balter, Radhe Mohan, Daniel Gomez, 2017, Scientific Reports.

Bayesian graphical network analyses reveal complex biological interactions specific to Alzheimer's disease.

Francesco C Stingo, Marina Vannucci, Kim-Anh Do, 2015, Journal of Alzheimer's disease : JAD.

Institutional patient-specific IMRT QA does not predict unacceptable plan delivery.

David S Followill, Andrea Molineu, Paola Alvarez, 2014, International journal of radiation oncology, biology, physics.

Examining credentialing criteria and poor performance indicators for IROC Houston's anthropomorphic head and neck phantom.

Francesco C Stingo, David S Followill, Andrea Molineu, 2016, Medical physics.

Bayesian Graphical Regression

Yang Ni, Veerabhadran Baladandayuthapani, Francesco C. Stingo, 2018, Journal of the American Statistical Association.

Bayesian predictive modeling for genomic based personalized treatment selection

Francesco C Stingo, Junsheng Ma, Brian P Hobbs, 2016, Biometrics.

Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?

Peter Balter, Daniel Gomez, Laurence Court, 2015, Medical physics.

Integrating genomic signatures for treatment selection with Bayesian predictive failure time models

F. Stingo, B. Hobbs, Junsheng Ma, 2018, Statistical methods in medical research.

Atypical chronic myeloid leukemia is clinically distinct from unclassifiable myelodysplastic/myeloproliferative neoplasms.

F. Stingo, A. Bagg, P. Fox, 2014, Blood.

unclassifiable myelodysplastic/myeloproliferative neoplasms Atypical chronic myeloid leukemia is clinically distinct from

F. Stingo, A. Bagg, P. Fox, 2014 .

A Bayesian screening approach for hepatocellular carcinoma using multiple longitudinal biomarkers

K. Do, A. Lok, F. Stingo, 2018, Biometrics.

A Bayesian approach to identify genes and gene-level SNP aggregates in a genetic analysis of cancer data.

M. Vannucci, F. Stingo, M. Swartz, 2015, Statistics and its interface.

Sparse Multi-Dimensional Graphical Models: A Unified Bayesian Framework

Yang Ni, Veerabhadran Baladandayuthapani, Francesco C. Stingo, 2017 .

hypertension in Dahl S rats with a 1.37 Mbp genomic region protective of Characterization of biological pathways associated

Purushottam W. Laud, Christine B. Peterson, M. Vannucci, 2014 .

Characterization of biological pathways associated with a 1.37 Mbp genomic region protective of hypertension in Dahl S rats.

Purushottam W. Laud, Christine B. Peterson, M. Vannucci, 2014, Physiological genomics.

Wavelet-based Variable Selection for Discriminant Analysis with Markov Random Tree Priors

M. Vannucci, G. Downey, F. Stingo, 2010 .

Investigating protein patterns in human leukemia cell line experiments: A Bayesian approach for extremely small sample sizes

S. Hanash, K. Do, F. Stingo, 2020, Statistical methods in medical research.

SU-E-T-56: Characterization of OSLDs for Use in Small Field Photon Beam Dosimetry.

F. Stingo, D. Followill, S. Kry, 2013, Medical physics.

Evaluation of three commercial metal artifact reduction methods for CT simulations in radiation therapy

Dragan Mirkovic, Jessica L Nute, J Kerns, 2014 .

Statistical Methods for Establishing Personalized Treatment Rules in Oncology

F. Stingo, B. Hobbs, Junsheng Ma, 2015, BioMed research international.

Application of the International Prognostic Scoring System-Revised in therapy-related myelodysplastic syndromes and oligoblastic acute myeloid leukemia

F. Stingo, P. Fox, G. Garcia-Manero, 2014, Leukemia.

Increased Proliferative Cells in the Medullary Thick Ascending Limb of the Loop of Henle in the Dahl Salt-Sensitive Rat

Purushottam W. Laud, M. Vannucci, P. Laud, 2013, Hypertension.

SRGN-Triggered Aggressive and Immunosuppressive Phenotype in a Subset of TTF-1-Negative Lung Adenocarcinomas.

Jennifer B Dennison, S. Hanash, I. Wistuba, 2021, Journal of the National Cancer Institute.

Fludarabine, cyclophosphamide, and rituximab treatment achieves long-term disease-free survival in IGHV-mutated chronic lymphocytic leukemia.

F. Stingo, H. Kantarjian, W. Plunkett, 2016, Blood.

TU-D-207B-02: Delta-Radiomics: The Prognostic Value of Therapy-Induced Changes in Radiomics Features for Stage III Non-Small Cell Lung Cancer Patients.

D. Mackin, X. Fave, L. Court, 2016, Medical physics.

Transcriptomic analysis reveals inflammatory and metabolic pathways that are regulated by renal perfusion pressure in the outer medulla of Dahl-S rats.

Purushottam W. Laud, M. Vannucci, P. Laud, 2018, Physiological genomics.

BAYESIAN GRAPHICAL NETWORK ANALYSES REVEALS COMPLEX BIOLOGICAL INTERACTIONS SPECIFIC TO ALZHEIMER'S DISEASE

Blaine R. Roberts, R. Martins, C. Masters, 2014, Alzheimer's & Dementia.

Variable selection for discriminant analysis with Markov random field priors for the analysis of microarray data

Marina Vannucci, Francesco C. Stingo, M. Vannucci, 2011, Bioinform..

Web Supplementary Material for “A Bayesian integrative approach for multi-platform genomic data: A kidney cancer case study”

K. Do, F. Stingo, J. Doecke, 2016 .

An FMEA evaluation of intensity modulated radiation therapy dose delivery failures at tolerance criteria levels

L. Court, P. Balter, F. Stingo, 2017, Medical physics.

An Integrative Bayesian Modeling Approach to Imaging Genetics

Francesco C Stingo, Marina Vannucci, Michele Guindani, 2013, Journal of the American Statistical Association.

Validation of the 2016 revisions to the WHO classification in lower‐risk myelodysplastic syndrome

F. Stingo, G. Garcia-Manero, E. Jabbour, 2017, American journal of hematology.

Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure

Yang Ni, V. Baladandayuthapani, F. Stingo, 2022, J. Mach. Learn. Res..

Supplementary Material for “Bayesian Graphical Regression”

Yang Ni, F. Stingo, Baladandayuthapani, 2017 .

A Bayesian nonparametric approach to personalized treatment selection

F. Stingo, R. Argiento, M. Pedone, 2022, 2210.06030.

Differences in Normal Tissue Response in the Esophagus Between Proton and Photon Radiation Therapy for Non-Small Cell Lung Cancer Using In Vivo Imaging Biomarkers.

R. Mohan, M. Martel, Jinzhong Yang, 2017, International journal of radiation oncology, biology, physics.

Long‐term follow‐up of patients receiving allogeneic stem cell transplant for chronic lymphocytic leukaemia: mixed T‐cell chimerism is associated with high relapse risk and inferior survival

F. Stingo, Z. Estrov, K. Rezvani, 2017, British journal of haematology.

Characterizing proton-activated materials to develop PET-mediated proton range verification markers

G. Gladish, O. Mawlawi, F. Stingo, 2016, Physics in medicine and biology.

Free Fatty Acids Signature in Human Intestinal Disorders: Signiﬁcant Association between Butyric Acid and Celiac Disease

F. Stingo, A. Taddei, A. Amedei, 2021 .

The addition of CD20 monoclonal antibodies to lenalidomide improves response rates and survival in relapsed/refractory patients with chronic lymphocytic leukaemia relative to lenalidomide monotherapy – the MD Anderson Cancer Center experience

F. Stingo, Z. Estrov, M. Keating, 2015, British journal of haematology.

Bayesian modeling of multiple structural connectivity networks during the progression of Alzheimer's disease

Christine B. Peterson, M. Vannucci, F. Stingo, 2019, Biometrics.

Free Fatty Acids Signature in Human Intestinal Disorders: Significant Association between Butyric Acid and Celiac Disease

F. Stingo, A. Taddei, A. Amedei, 2021, Nutrients.

Outcomes of patients with chronic lymphocytic leukemia treated with first‐line idelalisib plus rituximab after cessation of treatment for toxicity

F. Stingo, T. Kadia, M. Keating, 2016, Cancer.

Novel algorithmic approach predicts tumor mutation load and correlates with immunotherapy clinical outcomes using a defined gene mutation set

P. A. Futreal, G. Mills, K. Hess, 2016, BMC Medicine.

Complex karyotype is a stronger predictor than del(17p) for an inferior outcome in relapsed or refractory chronic lymphocytic leukemia patients treated with ibrutinib‐based regimens

F. Stingo, Z. Estrov, H. Kantarjian, 2015, Cancer.

Clinical features of De Novo acute myeloid leukemia with concurrent DNMT3A, FLT3 and NPM1 mutations

F. Stingo, H. Kantarjian, J. Cortes, 2014, Journal of Hematology & Oncology.

Bayesian nonlinear model selection for gene regulatory networks

Francesco C Stingo, Yang Ni, Veerabhadran Baladandayuthapani, 2015, Biometrics.

Evaluation and comparison of short chain fatty acids composition in gut diseases

F. Stingo, A. Taddei, A. Amedei, 2019, World journal of gastroenterology.

expressionpatterns of renal medullary gene Insights into Dahl salt-sensitive hypertension revealed

Purushottam W. Laud, M. Vannucci, M. Olivier, 2015 .

chromosomal substitution and cDNA microarray study Renal medullary genes in salt-sensitive hypertension: a

Purushottam W. Laud, M. Vannucci, Pengyuan Liu, 2015 .

Bayesian Structure Learning in Multilayered Genomic Networks

Veerabhadran Baladandayuthapani, Min Jin Ha, Francesco Claudio Stingo, 2020, Journal of the American Statistical Association.

A BAYESIAN GRAPHICAL MODELING APPROACH TO MICRORNA REGULATORY NETWORK INFERENCE.

Francesco C Stingo, Marina Vannucci, Yian A Chen, 2011, The annals of applied statistics.

BRAF kinase domain mutations are present in a subset of chronic myelomonocytic leukemia with wild‐type RAS

F. Stingo, H. Kantarjian, G. Garcia-Manero, 2014, American journal of hematology.

Bayesian personalized treatment selection strategies that integrate predictive with prognostic determinants

Francesco C Stingo, Junsheng Ma, Brian P Hobbs, 2019, Biometrical journal. Biometrische Zeitschrift.

An evaluation of three commercially available metal artifact reduction methods for CT imaging

Francesco C Stingo, Dragan Mirkovic, Jessica L Nute, 2015, Physics in medicine and biology.

interval-specific oligonucleotide array Transcriptional profiling with a blood pressure QTL

Purushottam W. Laud, M. Vannucci, Bryan Frank, 2015 .

The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitis

Laurence E. Court, Zhongxing Liao, Arvind Rao, 2018, Medical physics.

A Bayesian integrative approach for multi‐platform genomic data: A kidney cancer case study

Francesco C Stingo, Thierry Chekouo, Kim-Anh Do, 2017, Biometrics.

A Bayesian predictive model for imaging genetics with application to schizophrenia

Kim-Anh Do, Michele Guindani, Thierry Chekouo, 2016 .

INCORPORATING BIOLOGICAL INFORMATION INTO LINEAR MODELS: A BAYESIAN APPROACH TO THE SELECTION OF PATHWAYS AND GENES.

Francesco C Stingo, Marina Vannucci, Yian A Chen, 2011, The annals of applied statistics.

TLD and OSLD dosimetry systems for remote audits of radiotherapy external beam calibration.

D Followill, F Stingo, P Alvarez, 2017, Radiation measurements.

Bayesian Models for Variable Selection that Incorporate Biological Information

Marina Vannucci, Carlo Berzuini, Francesco C. Stingo, 2012 .

Joint Bayesian variable and graph selection for regression models with network‐structured predictors

Christine B Peterson, Francesco C Stingo, Marina Vannucci, 2016, Statistics in medicine.

Impact of image preprocessing on the volume dependence and prognostic potential of radiomics features in non-small cell lung cancer

Peter A Balter, Jinzhong Yang, Lifei Zhang, 2016 .

Objectively Quantifying Radiation Esophagitis With Novel Computed Tomography-Based Metrics.

R. Mohan, M. Martel, Jinzhong Yang, 2016, International journal of radiation oncology, biology, physics.

Development and Implementation of an Anthropomorphic Pediatric Spine Phantom for the Assessment of Craniospinal Irradiation Procedures in Proton Therapy

F. Stingo, D. Followill, S. Kry, 2014 .

miRNA–target gene regulatory networks: A Bayesian integrative approach to biomarker selection with application to kidney cancer

Francesco C Stingo, Kim-Anh Do, Thierry Chekouo, 2015, Biometrics.

Bayesian Inference of Multiple Gaussian Graphical Models

Christine B Peterson, Francesco C Stingo, Marina Vannucci, 2015, Journal of the American Statistical Association.

BAYESIAN WAVELET-BASED CURVE CLASSIFICATION VIA DISCRIMINANT ANALYSIS WITH MARKOV RANDOM TREE PRIORS.

Francesco C Stingo, Marina Vannucci, Gerard Downey, 2012, Statistica Sinica.

Bayesian graphical models for modern biological applications

Marina Vannucci, Yang Ni, Veerabhadran Baladandayuthapani, 2021, Statistical Methods & Applications.

A Novel Methodology using CT Imaging Biomarkers to Quantify Radiation Sensitivity in the Esophagus with Application to Clinical Trials

R. Mohan, M. Martel, Jinzhong Yang, 2017, Scientific Reports.

(18)F-Fluorodeoxyglucose Positron Emission Tomography Can Quantify and Predict Esophageal Injury During Radiation Therapy.

R. Mohan, M. Martel, Jinzhong Yang, 2016, International journal of radiation oncology, biology, physics.

Myeloid neoplasms with isolated isochromosome 17q demonstrate a high frequency of mutations in SETBP1, SRSF2, ASXL1 and NRAS

F. Stingo, P. Fox, G. Garcia-Manero, 2016, Oncotarget.

Reproducibility of patient setup in the seated treatment position: A novel treatment chair design

Laurence E. Court, Beth M. Beadle, Peter A. Balter, 2017, Journal of applied clinical medical physics.

Approaches to reducing photon dose calculation errors near metal implants.

F. Stingo, D. Followill, S. Kry, 2016, Medical physics.

Preliminary investigation into sources of uncertainty in quantitative imaging features

Jinzhong Yang, Lifei Zhang, Laurence E. Court, 2015, Comput. Medical Imaging Graph..

Toward optimizing patient-specific IMRT QA techniques in the accurate detection of dosimetrically acceptable and unacceptable patient plans.

Francesco C Stingo, David S Followill, Peter A Balter, 2014, Medical physics.

Inference of multiple high-dimensional networks with the Graphical Horseshoe prior

F. Stingo, Claudio Busatto, 2023, 2302.06423.

Bayesian learning of multiple directed networks from observational data

Francesco C Stingo, Guido Consonni, Stefano Peluso, 2020, Statistics in medicine.

Journal of the American Statistical Association Bayesian Inference of Multiple Gaussian Graphical Models Bayesian Inference of Multiple Gaussian Graphical Models

Christine B. Peterson, M. Vannucci, F. Stingo, 2022 .

Bayesian inference of networks across multiple sample groups and data types.

Elin Shaddox, Christine B Peterson, Francesco C Stingo, 2018, Biostatistics.

A Bayesian Approach for Learning Gene Networks Underlying Disease Severity in COPD

Christine B. Peterson, R. Bowler, M. Vannucci, 2018, Statistics in biosciences.

Bayesian Estimation of Single and Multiple Graphs

Christine B. Peterson, F. Stingo, 2021, Handbook of Bayesian Variable Selection.

Comment on Article by Scutari

Christine B. Peterson, F. Stingo, 2013 .

Bayesian approaches for large biological networks

Yang Ni, Veerabhadran Baladandayuthapani, Giovanni M. Marchetti, 2015 .

A New Anthropomorphic Pediatric Spine Phantom for Proton Therapy Clinical Trial Credentialing

F. Stingo, D. Followill, S. Kry, 2018, International journal of particle therapy.

Treatment Planning System Calculation Errors Are Present in Most Imaging and Radiation Oncology Core-Houston Phantom Failures.

David S Followill, Rebecca M Howell, Adam Melancon, 2017, International journal of radiation oncology, biology, physics.

Personalized Treatment Selection via Product Partition Models with Covariates

F. Stingo, R. Argiento, M. Pedone, 2022, 2210.06030.

Efficient local updates for undirected graphical models

F. Stingo, G. M. Marchetti, 2015, Stat. Comput..

Characterization of the nanoDot OSLD dosimeter in CT.

L. Court, D. Cody, F. Stingo, 2015, Medical physics.

INCORPORATING BIOLOGICAL INFORMATION INTO LINEAR MODELS: A BAYESIAN APPROACH TO THE SELECTION OF PATHWAYS AND GENES.

M. Vannucci, M. Tadesse, F. Stingo, 2011, The annals of applied statistics.

Subject-specific Dirichlet-multinomial regression for multi-district microbiota data analysis

F. Stingo, A. Amedei, Matteo Pedone, 2023, The Annals of Applied Statistics.

Uncertainty analysis of quantitative imaging features extracted from contrast-enhanced CT in lung tumors

Jinzhong Yang, Chaan S Ng, Laurence Edward Court, 2016, Comput. Medical Imaging Graph..

miRNA Target Gene Identification: Sourcing miRNA Target Gene Relationships for the Analyses of TCGA Illumina MiSeq and RNA-Seq Hiseq Platform Data

K. Do, F. Stingo, J. Doecke, 2014 .

Special issue on statistical analysis of networks

M. Schweinberger, F. Stingo, M. P. Vitale, 2021, Statistical Methods & Applications.

NSCLC tumor shrinkage prediction using quantitative image features

Jinzhong Yang, Lifei Zhang, Laurence E. Court, 2016, Comput. Medical Imaging Graph..