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Nan Hu

Nan Hu, PhD

Languages spoken: English, Cantonese, Chinese

Academic Information

Departments Adjunct - Family & Preventive Medicine

Divisions: Public Health

Academic Office Information

Research Interests

  • Survival Analysis
  • Medical Diagnosis and Prognosis Using Biomarkers
  • Nonparametric Statistics
  • Analysis of Missing Data
  • Meta-Data Analysis of Missing Data
  • Statistical Genetics
  • Longitudinal Data Analysis
  • Regression Analysis
  • Introduction to Probability and Statistics
  • Statistical Inferences
  • Medical Diagnostics

Nan Hu, PhD, is an assistant professor in the Department of Medicine at the University of Utah and a Huntsman Cancer Institute (HCI) investigator. He is a member of the Cancer Control and Population Sciences Program.

Hu's research interests include biomarker, survival, and longitudinal data analyses in cancer.

Hu earned a PhD from the University of Washington. Before joining HCI, Hu was a research assistant at the Fred Hutchinson Cancer Research Center, Seattle.

Education History

Internship University of Washington
University of Washington
Fellowship University of Washington
State University of New York
Undergraduate Tsinghua University

Selected Publications

Journal Article

  1. Li X, Conlin CC, Decker ST, Hu N, Mueller M, Khor L, Hanrahan C, Layec G, Lee VS, Zhang JL (2018). Sampling arterial input function (AIF) from peripheral arteries: comparison of a temporospatial-feature based method against conventional manual method. Magn Reson Imaging.
  2. Luo Y, Lloyd S, Huang L, Monroe M, Hu N, Shrieve DC, Hitchcock YJ (2018). Significant Dose Reduction to Central Neck Structures While Maintaining Locoregional Control in Patients with Advanced Head Neck Cancer Treated with Half-Beam-IMRT and AP Low Neck (HB-IMRT/AP) Radiotherapy Technique. Int J Radiat Oncol Biol Phys.
  3. Zhang JL, Layec G, Hanrahan C, Conlin CC, Hart CR, Hu N, Khor L, Mueller MT, Lee VS (2018). Exercise-induced calf muscle hyperemia: quantitative mapping with low-dose dynamic contrast enhanced magnetic resonance imaging (DCE MRI). Am J Physiol Heart Circ Physiol.
  4. Haider I, Morgan M, McGow A, Stein M, Rezvani M, Freer P, Hu N, Fajardo L, Winkler N (2018). Comparison of Breast Density Between Synthesized Versus Standard Digital Mammography. J Am Coll Radiol, 15(10), 1430-1436.
  5. Yamashita K amp Hu N Co-first authors, Ranjan R, Selzman C, Dosdall D (2018). Clinical Risk Factors for Post-operative Atrial Fibrillation among Patients after Cardiac Surgery. Thorac Cardiovasc Surg.
  6. Winkler NS, Freer P, Anzai Y, Hu N, Stein M (2018). Impact of Immediate Interpretation of Screening Tomosynthesis Mammography on Performance Metrics. Acad Radiol, 18, 30195-8.
  7. Thomas S, Silvernagel J, Angel N, Kholmovski, E, Ghafoori E, Hu N, Ashton J, Dosdall, D, MacLeod, R, Ranjan, R (2018). Higher Contact Force During Radiofrequency Ablation Leads to a Much Larger Increase in Edema as Compared to Chronic Lesion Size," for publication in the Journal of Cardiovascular Electrophysiology. J Cardiovasc Electrophysiol.
  8. Herde RF, Kokeny KE, Reddy CB, Akerley WL, Hu N, Boltax JP, Hitchcock YJ (2018). Primary Pulmonary Carcinoid Tumor: A Long-term Single Institution Experience PMID: 26270444. Am J Clin Oncol.
  9. Morgan M, Young E, Harana S, Winkler N, Hu N, Reigert J, Jones T, Stein M (2017). Ditching the Disc: The effect of clound-based image sharing on efficiency and report turnaround times in mammography. J Am Coll Radiol, 14(12), 1560-1565.
  10. Ghafoori E, Kholmovski EG, Thomas S, Silvernagel J, Angel N, Hu N, Dosdall D, MacLeod R, Ranjan R (2017). Characterization of Gadolinium Contrast-Enhancement of Radiofrequency Ablation Lesions in Predicting Edema and Chronic Lesion Size. Circ Arrhythm Electrophysiol, 10(11), e005599.
  11. Huang S, Wu L, Panitchob N, Hu N, Ranjan R, Dosdall D (2017). Resitution Characteristics of His Bundle and Working Myocadium in Isolated Rabit Hearts. PLoS One, 12(10), e0186880.
  12. Hu N, Cheng H, Zhang K, Jensen RL (2017). Evaluating the prognostic accuracy of biomakers for glioblastoma multiform (GBM) in the Cancer Genome Atlas (TCGA) data. Cancer Inform, 16, 1-11.
  13. Hu R, Liu R, Hu N (2017). China’s Belt and Road Initiative from a global health perspective. Lancet Glob Health.
  14. Gawron AJ, Cole G, Hu N, Thompson WK, Fang J, Samore M (2017). Regional variability of repeat esophagogastroduodenoscopy use in the national Veteran population. Dig Dis Sci, 62(9), 2303-10.
  15. Thiese M, Hanowski RJ, Kales SN, Porter, RJ, Moffitt G, Hu N, Hegmann K (2017). Multiple Conditions Increase Preventable Crash Risks Among Truck Drivers in a Cohort Study. J Occup Environ Med, 59(2), 205-211.
  16. Hu N, Richards R and Jensen R (2016). Role of chromosomal 1p/19q co-deletion on the prognosis of oligodendrogliomas: A systematic review and meta-analysis. Interdiscip Neurosurg, 5, 58-63.
  17. Likhite D, Suksaranjit P, Adluru G, Hu N, Weng C, Kholmovski E, McGann C, Wilson B, DiBella E (2016). Interstudy repeatability of self‐gated quantitative myocardial perfusion MRI. J Magn Reson Imaging, 43(6), 1369-1378.
  18. Parmar BR, Jarrett TR, Kholmovski EG, Hu N, Parker D, MacLeod RS, Marrouche NF, Ranjan R (2015). Poor scar formation after ablation is associated with atrial fibrillation recurrence. J Interv Card Electrophysiol, 44(3), 247-56.
  19. Gibson SB, Kasarskis EJ, Hu N, Pulst SM, Mendiondo MS, Matthews DE, Mitsumoto H, Tandan R, Simmons Z, Kryscio RJ, Bromberg MB (2015). Relationship of creatine kinase to body composition, disease state, and longevity in ALS. PMID: 26312548. Amyotroph Lateral Scler Frontotemporal Degener, 16(7-8), 473-477.
  20. Soltani-Arabshahi R, Sweeney C, Jones B, Florell SR, Hu N, Grossman D (2015). Predictive value of biopsy specimens suspicious for melanoma: support for 6-mm criterion in the ABCD rule. J Am Acad Dermatol, 72(3), 412-8.
  21. Akoum N, Wilber D Hindricks G, Jais P, Cates J, Marchlinski F, Kholmovski E, Burgon N, Hu N, Mont L, Deneke T, Duytschaever M, Neumann T, Mansour M, Mahnkopf C, Hutchinson M, Herweg B, Daoud E, Wissner E, Brachmann J, Marrouche NF (2015). MRI Assessment of Ablation-Induced Scarring in Atrial Fibrillation: Analysis from the DECAAF Study. J Cardiovasc Electrophysiol, 26(5), 473-480.
  22. Garrido-Laguna I, Tometich D, Hu N, Ying J, Geiersbach K, Whisenant J, Wang K, Ross JS, Sharma S (2015). N of 1 case reports of exceptional responders accrued from pancreatic cancer patients enrolled in first-in-man studies from 2002 through 2012. Oncoscience, 2(3), 285-293.
  23. Likhite D, Adluru G, Hu N, McGann C, DiBella E (2015). Quantification of myocardial perfusion with self-gated cardiovascular magnetic resonance. PMID: 25827080. J Cardiovasc Magn Reson.
  24. Koopmann M, Hong K, Kholmovski EG, Huang EC, Hu N, Ying J, Levenson R, Vijayakumar S, Dosdall DJ, Ranjan R, Kim D (2014). Post-contrast myocardial T(1) and ECV disagree in a longitudinal canine study. NMR Biomed, 27(8), 988-95. (Read full article)
  25. Nicholas Z, Hu N, Ying J, Soisson P, Dodson M, Gaffney DK (2014). Impact of Comorbid Conditions on Survival in Endometrial Cancer. Am J Clin Oncol, 37(2), 131-134.
  26. Parmar BR, Jarrett TR, Burgon NS, Kholmovski EG, Akoum NW, Hu N, Macleod RS, Marrouche NF, Ranjan R (2014). Comparison of Left Atrial Area Marked Ablated in Electroanatomical Maps with Scar in MRI. J Cardiovasc Electrophysiol, 25(5), 457-463.
  27. Marrouche NF, Wilber D, Hindricks G, Jais P, Akoum N, Marchlinski F, Kholmovski E, Burgon N, Hu N, Mont L, Deneke T, Duytschaever M, Neumann T, Mansour M, Mahnkopf C, Herweg B, Daoud E, Wissner E, Bansmann P, Brachmann J (2014). Association of atrial tissue fibrosis identified by delayed enhancement MRI and atrial fibrillation catheter ablation: the DECAAF study. JAMA, 311(5), 498-506.
  28. Hu N (2013). Evaluating the over-time prognostic performance of biomarkers for cancer prognoses using time-dependent receiver operating characteristic (ROC) curve. Transl Med (Sunnyvale), 3(2), 45.
  29. Abraham S, Hu N, Jensen R (2012). Hypoxia-inducible factor-1-regulated protein expression and oligodendroglioma patient outcome: comparison with established biomarkers and preoperative UCSF low-grade scoring system. J Neurooncol, 108(3), 459-68.
  30. Chen YQ, Hu N, Cheng S, Musoke P, Zhao L (2012). Estimating Regression Parameters in an Extended Proportional Odds Model. J Am Stat Assoc, 107(497), 318-330.
  31. Jensen RL, Minshew L, Shrieve A, Hu N, Shrieve D (2012). Stereotactic radiosurgery and radiotherapy for meningiomas: Predictors of patient outcome and response to therapy. J Radiosurg SBRT, 2, 41-50.
  32. Warren FM 3rd, McCool RR, Hunt JO, Hu N, Ng PP, Buchmann LP, Shelton C (2011). Preoperative embolization of the inferior petrosal sinus in surgery for glomus jugulare tumors. Otol Neurotol, 32(9), 1538-41.
  33. Jackson JC, Nguyen D, Hu N, Harris R, Terasaki GS (2011). Alterations in Medical Interpretation During Routine Primary Care. J Gen Intern Med, 26(3), 259-264.
  34. Sabado RL, OBrien M, Subedi A, Qin L, Hu N, Taylor E, Dibben O, Stacey A, Fellay J, Shianna KV, Siegal F, Shodell M, Shah K, Larsson M, Lifson J, Nadas A, Marmor M, Hutt R, Margolis D, Garmon D, Markowitz M, Valentine F, Borrow P, Bhardwaj N (2010). Evidence of dysregulation of dendritic cells in primary HIV infection. Blood, 116(19), 3839-52. (Read full article)
  35. Zhou XH, Hu N, Hu G, Root M (2009). Synthesis analysis of regression models with a continuous outcome. Stat Med, 28, 1620-1635.
  36. Paun D, Srivastava V, Stroble P, Thomson D, Scott E, Reddy A, Voorwinde R, Hu N (2005). Paper industry growth, returns and leverage -- 2002. Tappi J, 88(1), 1-8.
  37. Paun D, Srivastava V, Scott E, Hu N, Voorwinde R, Stroble P, Thomson D, Reddy A (2004). Performance Survey of the North American Paper Industry. Tappi J, 3(12), 10-18.
  38. Hu N, Ma Z, Ma, W (2000). The optimized Planting Plan for Taxus Media Hicksii in Eastern China, China Forest Business. 2(1): 16-20. (Published in Chinese and publications before 2001 are not online). (6), 14-16.

Book Chapter

  1. Hu N (2017). Using Receiver Operating Characteristic (ROC) Analysis to Evaluate Information-Based Decision-Making. In Mehdi Khosrow-Pour (Ed.), Encyclopedia of Information Science and Technology (4th, 22, pp. 2213-2223). Hershey, PA, USA: IGI Global.
  2. Hu N, Cheng H (2015). Survival Analysis and ROC Analysis in Analyzing Credit Risks. In Jakobcza Dariusz. (Ed.), Analyzing Risk through Probabilistic Modeling in Operations Research. IGI Global.
  3. Hu N, Zhou X-H (2014). ROC Analysis in Business Decision-makings. In John Wang (Ed.), Encyclopedia for Business Analytics and Optimization. IGI Global.

Conference Proceedings

  1. Hu N (2013). Time-Dependent ROC Analysis for Early Detection of End-Stage Renal Disease (ESRD) Using Baseline Glomerular Filtration Rate. Joint Statistical Meeting Proceedings, Statistical Consulting Section, Alexandria, VA:: American Statistical Association, 3899-3911.
  2. Hu N, Zhou X-H (2010). A Review of Time-Dependent ROC Curve for Evaluating the Prognosis Capacity of Biomarkers and Semiparametric Regression Methods. Joint Statistical Meeting, Vancouver, British Columbia, Canada: ISBN978-0-9791747-9-7, 3336-3347.
  3. Hu N, Bevilacqua E (2003). Development of a new variable-form taper equation for eastern white pine (Pinus strobus L.). Conference Proceedings, Joint Conference of the Southern Mensurationist and Northeastern Mensurationist Organization in Roanoke, VA.