Selected publications below (last updated 1/14/20) – For full list of publications
Methodological Papers
Collaborative Papers

Methodological Work

Opportunities and Challenges in Analyzing EHR Data

Goldstein, BA, Phelan M, Pagidipati, NJ, Peskoe, SB. How and When Informative Visit Processes Can
Bias Inference when Using Electronic Health Records Data for Clinical Research. Journal of the
American Medical Informatics Association, 26(12): 1609-1617.

Goldstein, BA, Phelan, M, Pagidipati, NJ, Holman, RR., Pencina, MJ, Stuart, EA. An Outcome Model
Approach to Transporting a Randomized Controlled Trial Results to a Target Population. Journal of the
American Medical Informatics Association, 2019, 26: 429:437.

Phelan, M.*, Bhavsar, N.A., Goldstein, B.A. Illustrating Informed Presence Bias in Electronic Health
Records Data: How Patient Interactions with a Health System Can Impact Inference. EGEMS, 2017,
5(1): 22.

Goldstein B.A., Bhavasr, N.A., Phelan, M., and Pencina, M.J. Controlling for informed presence bias due to the number of health encounters in an Electronic Health Record. American Journal of Epidemiology, 2016, 184(11): 847-855.

Spratt, SE. Pereira, K., Granger, BB.,Batch, BC., Phelan, M., Pencina, M., Miranda, ML., Boulware, E., Lucas, JE., Nelson, CL., Neely, B., Goldstein, BA., Barth, P., Richesson, RL., Riley, IL., Corsino, L., McPeek Hinz, ER., Rusincovitch, S., Green, J., Barton, AB., and the DDC Phenotype Group., Assessing Electronic Health Record Phenotypes against Gold-Standard Diagnostic Criteria for Diabetes Mellitus. Journal of the Medical Informatics Association, 2017, 24, e121-e128.

Goldstein, B.A., Assimes TL., Winkelmayer WC, and Hastie T. Detecting clinically meaningful biomarkers with repeated measurements in an Electronic Health Record. Biometrics, 2015, 71, 478-486.

Goldstein BA, Cheng TI, and Winkelmayer, WC. Classifying Individuals Based on a Densely Captured Sequence of Vital Signs: An Example using Repeated Blood Pressure Measurements during Hemodialysis Treatment. Journal of Biomedical Informatics, 2015, 57: 219-224.

Machine Learning & Risk Prediction With EHR Data

Ding X.*, Gellad Z.F., Mather, C. Barth, P., Poon, E.G., Newman, M., and Goldstein B.A. Designing
Risk Prediction Models for Ambulatory No-Shows Across Different Specialties and Clinics. Journal of
the American Medical Informatics Association, 2018, 25(8): 924-930.

Goldstein B.A., Navar, A.M., Pencina, M.J., and Ioannidis, J.P. Opportunities and challenges in developing risk prediction models with electronic health records data: A systematic review. Journal of the American Medical Informatics Association, 2017, 24(1): 198-208.

Goldstein B.A. Pencina M. J., Montez-Rath, M.E. and Winkelmayer W.C. Value of different categories of information available in electronic health records for prediction of mortality in patients on dialysis. Journal of the American Medical Informatics Association, 2017, 36(17) 2750 – 2763.

Goldstein B.A., Navar, A.M., and Carter, R. E. Beyond Logistic Regression: Using machine learning from risk prediction in clinical cardiology studies. European Heart Journal, 2017, 38: 1805-1814.

Goldstein B.A., Navar, A.M., and Pencina, M.J., Risk prediction with Electronic Health Records – the importance of model validation and clinical context. JAMA: Cardiology, 2016 1(9): 976-977.

Goldstein, B.A., Polley, E.C. Briggs, F.B.S., van der Laan M. J. and Hubbard A.E.. Testing the relative performance of data adaptive prediction algorithms: A generalized test of conditional risk differences. International Journal of Biostatistics, 2016, 12(1): 117-129.

Goldstein, B.A. Polley, E. C. and Briggs, F. B. S. Random Forests for Genetic Association Studies. Statistical Applications in Genetics and Molecular Biology, 2011, Vol. 10: Iss. 1, Article 32.

Goldstein, B.A., Hubbard, A. E., Cutler, A., Barcellos, L. F. An application of Random Forests to a genome-wide association dataset: methodological considerations & new findings. BMC Genetics, 11, 2010.

Genetic Risk Scores

Goldstein, B.A., Yang, L., Salfati, E., and Assimes, T.L., Contemporary considerations for constructing a Genetic Risk Score: An Empirical Approach. Genetic Epidemiology, 2015, 39, 439-445.

Goldstein, B.A., Knowles, J.W., Salfati, E., Ioannidis J.P.A and Assimes, T.A., Simple and effective incorporation of genetic risk into traditional risk prediction tools for CHD. Frontiers in Genetics, 2014, 5.

Collaborative Work

Clinical Risk Models & Risk Assessment

O’Brien, C, Goldstein BA, Shen, Y, Phelan, M, Lambert, C, Lambert, C, Bedoya AD, and Steorts, RC.
Development, Implementation, and Evaluation, of an In-Hospital Optimized Early Warning Score for
Patient Deterioration. Medical Decision Making: Policy & Practice. In Press.

Bedoya, AD, Bhavsar, N, Page, C, Goldstein, BA, McIntyre, NR. Unanticipated Respiratory
Compromise and Unplanned Intubations on General Medical and Surgical Floors. Respiratory Care, In

Bedoya, AD*, Clement, ME, Phelan, M, Steorts, RC, O’Brien, C, & Goldstein, BA. Minimal Impact of
Implemented Early Warning Score and Best Practice Alert for Patient Deterioration. Critical Care
Medicine, 2019, 47(1):49-55.

Goldstein, B.A., Chang, TI, Mitani, A.A., Assimes TL., and Winkelmayer WC. Near-term prediction of sudden cardiac death in older patients using the electronic health records. Clinical Journal of the American Society of Nephrology, 9, 2014, 82-91.

Inference and Insight with EHR Data

Setji, T, Page, C, Pagidipati, NJ and Goldstein BA Differences in Achieving A1c Goals Among Patients
Seen by Endocrinologists and Primary Care Providers. Endocrine Practice, 2019, 25: 461-469.

Bhavsar, NA.*, Gao, A., Phelan, M., Pagidipati, NJ., & Goldstein, BA. Value of Neighborhood
Socioeconomic Status in Predicting Risk of Outcomes in Studies That Use Electronic Health Record
Data. JAMA Network Open, 2018, 1(5): e182716.

Han T, Gagnon J, Barth P, Schilder M, Goldstein BA, Faerber G, Lipkin M, Moul J. No-Shows in Adult
Urology Outpatient Clinics: Economic and Operational Implications. Urology in Practice, In Press.

Heart Transplantation

Goldstein, B.A., Thomas, L., Zaroff, J.G., Nguyen, J., Menza, R.L., and Khush, KK. Longer Waiting List Time Leads to Increased Mortality in Heart Transplantation: A Mixed Methods Approach. Epidemiology, 2016, 27, 469 – 476.

Khush, K.K., Zaroff, J.G., Nguyen J., Menza, R. and Goldstein, B.A. National Decline in Donor Heart Utilization, with Regional Variability: 1995-2010. American Journal of Transplantation, 2015, 15, 642-649.

Chen, S., Tierney, E.S.S., Khush, K.K., Nguyen, J., Goldstein, B.A., May, L.J., Hollander, S.A., Kaufman, B.D., and Rosenthal, D.N. Reliability of Echocardiographic Measurements of Left Ventricular Systolic Function in Potential Pediatric Heart Transplant Donors. Journal of Heart and Lung Transplant, 2014, 34: 100-106.

Khush, K, Nguyen, J, Goldstein, B.A., Menza, R, McGlothlin, DP, and Zaroff, JG. Reliability of Transthoracic Echocardiogram Interpretation in Potential Adult Heart Transplant Donors. Journal of Heart and Lung Transplant, 2014, 2498: S1053.

Khush, KK, Menza, R.L., Nguyen, J., Zaroff, J.G. and Goldstein, B.A. Do we need to be picky? Donor predictors of allograft utilization and recipient outcomes after heart transplantation. Circulation Heart Failure, 6, 2013, 300-309.

Khush, K.K., Menza, R., Nguyen, J., Goldstein, B.A., Zaroff, J.G. and Drew B.J. Electrocardiographic characteristics of potential organ donors and associations with cardiac allograft use. Circulation Heart Failure, 5, 2012, 475-483.

Khush, KK, Pawlikowska, L., Menza, R.L., Goldstein, B.A. Hayden, V., Nguyen, J., Kim, H., Poon, A., Sapru, A., Matthay, M.A., Kwok, P.Y., Young, W.L., Baxter-Lowe, L.A. and Zaroff, J.G.. Beta-adrenergic receptor polymorphisms and cardiac graft function in potential organ donors. American Journal of Transplantation, 12, 2012, 3377-2275.

End Stage Renal Disease

Airy, M., Mandayam, S., Mitani, A.A., Chang, T.I., Ding, V., Brookhart, M.A., Goldstein, B.A. Winkelmayer, W.C. Comparative outcomes of predominant facility-level use of ferumoxytol versus other intravenous iron formulations in incident hemodialysis patients. Nephrology Dialysis Transplantation, 2015, 30: 2068-2075.

Winkelmayer, W.C., Chang, T.I., Mitani, A.A., Spivak, J.L., Adamson, J.W., Chertow, G.M., Brookhart, M.A., and Goldstein, B.A. Longer-term Outcomes of Darbepoetin Alfa versus Epoetin Alfa in Patients with End-Stage Renal Disease Initiating Hemodialysis: A Quasi-Experimental Study. American Journal of Kidney Disease, 2015, 66, 106-113.

Winkelmayer, W.C., Mitani, A.A., Goldstein B.A., Brockhart, A., and Chertow, G. Trends in Anemia Care in Older Patients Approaching End-Stage Renal Disease in the U.S. (1995-2010). JAMA Internal Medicine, 2014, 174, 699-707.

Tamura, M.K., Goldstein, B.A., Hall, Y.N., Mitani, A.A. and Winkelmayer, W.C. Variations in State Medicaid Coverage, ESRD Incidence and Access to Care Among Non-elderly Adults. Journal of the American Society of Nephrology, 2014, 25, 1321-1329.

Shen JI, Mitani AA, Saxena AB, Goldstein B.A., Winkelmayer WC. Determinants of peritoneal dialysis technique failure in incident US patients. Peritoneal Dialysis International, 33, 2013, 155-166.

Arce C.M., Goldstein B.A. Mitani A.A., and Winkelmayer W.C. Differences in mortality between Hispanic and non-Hispanic whites initiating dialysis in the United States. American Journal of Kidney Disease, 62, 2013, 312-321.

Nair, SS. Mitani, AA., Goldstein BA, Lowenberg, DW., Winkelmayer WC. Temporal trends in the incidence, treatment, and outcomes of hip fracture in older patients initiating dialysis in the United States. Clinical Journal of the American Society of Nephrology, 8, 2013, 1336 -1342.

Arce C.M., Goldstein B.A. Mitani A.A., Lenihan, C.R. and Winkelmayer W.C. Geography Matters: Access to Deceased Donor Kidney Transplantation among Hispanic versus non-Hispanic Whites in the U.S. Clinical Journal of the American Society of Nephrology, 8, 2013, 2149-2157.

Goldstein B.A., Arce C.M., Hlatky M.A., Turakhia M., Setoguchi S., Winkelmayer W.C. Trends in the incidence of atrial fibrillation among older patients initiating dialysis in the United States. Circulation, 126, 2012, 2293-2301.

Arce C.M., Mitani A.A., Goldstein B.A. and Winkelmayer W.C. Hispanic ethnicity and vascular access use in patients initiating hemodialysis in the United States. Clinical Journal of the American Society of Nephrology, 7, 2011, 289-296.

Health Service Research

Hernandez-Boussard, T., Morrison, D., Goldstein, B.A. Hsia, R.Y. Relationship of Affordable Care Act Implementation to Emergency Department Utilization Among Young Adults. Annals of Emergency Medicine, 2016, 67, 714-720.

Kelly, K., Grau-Sepulveda, MV., Goldstein, B.A., Spratt, S.E., Wolfley, A., Hatfield, V., Murphy, M., Jones, E., Granger, B.B. The Agreement of Patient-Reported Versus Observed Medication Adherence in Type 2 Diabetes Mellitus (T2DM), BMC Open Diabetes, 2016, 4:e000182.

Profit, J., Gould, J.B., Bennet, M., Goldstein, B.A., Draper, D., Phibbs, C.S., and Lee, HC. The Association of Level of Care with NICU Quality. Pediatrics, 2016, 137: 1-9.

Anoshiravani, A, Saynina O, Chamberlain LJ, Goldstein B.A., Huffman LC, Wang NE, and Wise PH.  Mental illness drives hospitalizations in detained California youth. Journal of Adolescent Health, 2015, 57: 455-461.

Profit, J., Goldstein, B.A., Tamaresis, J, Kan, P, and Lee, HC. Spreading Quality Improvement to Care Networks: Regional Variation in Antenatal Corticosteroid Use in California. Pediatrics, 2015, 135, 397-404.

Goldstein, B.A. and Winkelmayer, W.C. Comparative Health Services Research across Populations: The Unused Opportunities in Big Data. Kidney International, 2015, 87, 1094-1096.

Kubo, J., Goldstein, B.A, Cantley, L.F. Tessier-Sherman, B., Galusha, D., Slade, M.D., Chu, A.M., and Cullen, M.R. Contribution of health status and prevalent chronic disease to individual risk for workplace injury in the manufacturing environment. Occupational and Environmental Medicine, 2014, 71, 159-166.

Otten J.J., Saelens B.E., Kapphahn K.I., Hekler E.B., Buman M.P., Goldstein B.A., Krukowski R.A., O’Donohue L.S., Gardner C.D., King A.C. Impact of San Francisco’s Toy Ordinance on Restaurants and Children’s Food Purchases: A Story of Healthier Defaults. Preventing Chronic Disease, 2014, 11.

Hernandez-Boussard T., Burns C., Wang N.E., Baker L.S., and Goldstein B.A. Decrease in Emergency Department Utilization for Young Adults under the Healthcare Reform. Health Affairs, 2014, 33: 1648-1654.

Genetic Epidemiology

Salfati E., Nandkeolyar, S., Fortmann, S., Sidney, S., Hlatky, M.A., Quertermous, T, Go, A.S., Iribarren, C., Goldstein, B.A., Assimes, T.L. Susceptibility loci for clinical CAD and subclinical coronary atherosclerosis throughout the life course. Circulation: CV Genetics, 2015, 8(6): 803-811.

Dewey F.E., Grove M., Pan, C., Goldstein, B.A., Bernstein, J., Chaib, H., Goldfeder, R., Caleshu, C., Kingham, K., Ormond, K.E., Klein, T.E., Whirl-Carillo, M., Sakamoto, K., Wheeler, M.T., Butte, A., Merker, J., Ford, J., Boxer, L., Ioannidis, J.P.A., Yeung, A.C., Altman, R., Assimes, T.L., Snyder, M., Ashley, E.A., and Quertermous T. Opportunity and cost of clinical whole genome sequencing. Journal of the American Medical Association, 2014, 311, 1035-1045.

Chan K., Patel R.S., Newcombe P. Nelson C.P., Qasim A., Epstein S.E., Burnett S.,Vaccarino V.L, Zafari A.M., Shah S.H., Anderson J.L., Carlquist J.F., Hartiala J., Allayee H., Hinohara K., Lee B.S., Erl A., Ellis K.L., Goel A., Schaefer A.S., El Mokhtari N.E., Goldstein B.A., Hlatky M.A. et al. Association Between the Chromosome 9p21 Locus and Angiographic Coronary Artery Disease Burden: A Collaborative Meta-Analysis. Journal of the American College of Cardiology, 61, 2013, 957-970.

Knowles, J.W., Assimes, T.L., Kiernan M., Pavlovic, A., Goldstein B.A., Yank V., McConnell, M.V., Absher D., Bustamante C., Ashley, E.A. and Ioannidis J.P.A. A randomized trial of personal genomics for preventive cardiology: design and challenges. Cardiovascular Genetics, 5, 2012, 368-376.

de Bruin M.A., Kwong A., Goldstein B.A., Lipson J.A., Ikeda D.M., McPherson L., Sharma B., Kardashian A., Schackmann E.A., Kingham K.E., Mills M.A., West D., Ford J.M. and Kurian A.W. Breast cancer risk factors differ between Asian and white women with BRCA1/2 mutations. Familial Cancer, 11, 2012, 429 – 439.

The CARDIoGRAMplusC4D Consortium, Deloukas P., Kanoni S., Willenborg C., Farrall M., Assimes T.L., Thompson J.R., Ingelsson E., Saleheen D., Erdmann J., Goldstein B.A. et al. Large-scale association analysis identifies new risk loci for coronary artery disease. Nature Genetics, 45, 2012, 25-33.

International Multiple Sclerosis Genetics Consortium, Briggs F.B.S., Shao X., Goldstein, B.A., Oksenberg, J.R., Barcellos, L.F., de Jager, P.L. Genome-wide association study of severity in multiple sclerosis. Genes and Immunity, 12, 2011, 667 – 671.

Bronson PG, Goldstein B.A., Ramsay PP, Beckman KB, Noble JA, Lane JA, Seldin MF, Kelly JA, Harley JB, Moser KL, Gaffney PM, Behrens TW, Criswell LA, Barcellos LF. The rs4774 CIITA missense variant is associated with risk of systemic lupus erythematosus. Genes & Immunity, 12, 2011, 667 – 671.

Briggs, F.B.S., Goldstein, B.A., McCauley, J.L., Zuvich RL, De Jager PL, Rioux JD, Ivinson AJ, Compston A, Hafler DA, Hauser SL, Oksenberg JR, Sawcer SJ, Pericak-Vance MA, Haines JL, Barcellos LF; International Multiple Sclerosis Genetics Consortium. Variation Within DNA Repair Pathway Genes and Risk for Multiple Sclerosis. American Journal of Epidemiology, 172, 2010, 217-224.

Briggs, F.B.S., Goldstein, B.A., McCauley, J.L., Zuvich RL, De Jager PL, Rioux JD, Ivinson AJ, Compston A, Hafler DA, Hauser SL, Oksenberg JR, Sawcer SJ, Pericak-Vance MA, Haines JL, Barcellos LF; International Multiple Sclerosis Genetics Consortium. Variation Within DNA Repair Pathway Genes and Risk for Multiple Sclerosis. American Journal of Epidemiology, 172, 2010, 217-224.