Sarah M. Weinstein

Assistant Professor
Epidemiology and Biostatistics
Phone
215-204-4420
Office
Ritter Annex 939

Biography

Dr. Sarah M. Weinstein is a biostatistician who specializes in statistical methods for analyzing brain imaging data. Motivated by applications in neurodevelopment and neurodegenerative disease, she is primarily interested in developing new statistical methods and software to improve the interpretability and replicability of neuroimaging studies. Her previous and ongoing work include methods for quantifying and testing associations in multi-modal neuroimaging studies, spatial modeling of brain imaging data, and dealing with confounding variables in high-dimensional data. In addition, she is interested in methods for enhancing the generalizability of biomedical and public health research, including but not limited to neuroimaging studies and clinical trials. Dr. Weinstein also has broad experience as a collaborative biostatistician through her involvement in research in anesthesiology, neurology, psychiatry and other areas.

Dr. Weinstein earned her MS and PhD in biostatistics from the University of Pennsylvania, where she was a National Science Foundation graduate research fellow. She earned her BA in statistics and psychology from Columbia University.

Education

  • PhD, Biostatistics, University of Pennsylvania
  • MS, Biostatistics, University of Pennsylvania
  • BA, Statistics and Psychology, Columbia University

Curriculum Vitae 

Labs: Weinstein Lab

Selected Publications

  • Chen, A.A., Weinstein, S.M., Adebimpe, A., Gur, R.C., Gur, R.E., Merikangas, K.R., Satterthwaite, T.D., Shinohara, R.T., & Shou, H. (2023). Similarity-based multimodal regression. Biostatistics. England. doi: 10.1093/biostatistics/kxad033

  • Weinstein, S.M., Vandekar, S.N., Alexander-Bloch, A.F., Raznahan, A., Li, M., Gur, R.E., Gur, R.C., Roalf, D.R., Park, M.T.M., Chakravarty, M., Baller, E.B., Linn, K.A., Satterthwaite, T.D., & Shinohara, R.T. (2023). Network Enrichment Significance Testing in Brain-Phenotype Association Studies. BioRxiv. United States. doi: 10.1101/2023.11.10.566593

  • Weinstein, S.M., Davatzikos, C., Doshi, J., Linn, K.A., Shinohara, R.T., & Initiative, A.D.N. (2023). Penalized decomposition using residuals (PeDecURe) for feature extraction in the presence of nuisance variables. Biostatistics, 24(3), pp. 653-668. England. doi: 10.1093/biostatistics/kxac031

  • Pines, A., Keller, A.S., Larsen, B., Bertolero, M., Ashourvan, A., Bassett, D.S., Cieslak, M., Covitz, S., Fan, Y., Feczko, E., Houghton, A., Rueter, A.R., Saggar, M., Shafiei, G., Tapera, T.M., Vogel, J., Weinstein, S.M., Shinohara, R.T., Williams, L.M., Fair, D.A., & Satterthwaite, T.D. (2023). Development of top-down cortical propagations in youth. Neuron, 111(8), pp. 1316-1330.e5. United States. doi: 10.1016/j.neuron.2023.01.014

  • Weinstein, S.M., Vandekar, S.N., Baller, E.B., Tu, D., Adebimpe, A., Tapera, T.M., Gur, R.C., Gur, R.E., Detre, J.A., Raznahan, A., Alexander-Bloch, A.F., Satterthwaite, T.D., Shinohara, R.T., & Park, J.Y. (2022). Spatially-enhanced clusterwise inference for testing and localizing intermodal correspondence. Neuroimage, 264, p. 119712. United States. doi: 10.1016/j.neuroimage.2022.119712

  • Hu, F., Weinstein, S.M., Baller, E.B., Valcarcel, A.M., Adebimpe, A., Raznahan, A., Roalf, D.R., Robert-Fitzgerald, T.E., Gonzenbach, V., Gur, R.C., Gur, R.E., Vandekar, S., Detre, J.A., Linn, K.A., Alexander-Bloch, A., Satterthwaite, T.D., & Shinohara, R.T. (2022). Voxel-wise intermodal coupling analysis of two or more modalities using local covariance decomposition. Hum Brain Mapp, 43(15), pp. 4650-4663. United States. doi: 10.1002/hbm.25980

  • Solomon, A.J., Kaisey, M., Krieger, S.C., Chahin, S., Naismith, R.T., Weinstein, S.M., Shinohara, R.T., & Weinshenker, B.G. (2022). Multiple sclerosis diagnosis: Knowledge gaps and opportunities for educational intervention in neurologists in the United States. Mult Scler, 28(8), pp. 1248-1256. England. doi: 10.1177/13524585211048401

  • Pines, A.R., Larsen, B., Cui, Z., Sydnor, V.J., Bertolero, M.A., Adebimpe, A., Alexander-Bloch, A.F., Davatzikos, C., Fair, D.A., Gur, R.C., Gur, R.E., Li, H., Milham, M.P., Moore, T.M., Murtha, K., Parkes, L., Thompson-Schill, S.L., Shanmugan, S., Shinohara, R.T., Weinstein, S.M., Bassett, D.S., Fan, Y., & Satterthwaite, T.D. (2022). Dissociable multi-scale patterns of development in personalized brain networks. Nat Commun, 13(1), p. 2647. England. doi: 10.1038/s41467-022-30244-4

  • Chen, A.A., Weinstein, S.M., Adebimpe, A., Gur, R.C., Gur, R.E., Merikangas, K.R., Satterthwaite, T.D., Shinohara, R.T., & Shou, H. (2022). Similarity-Based Multimodal Regression. Cold Spring Harbor Laboratory. doi: 10.1101/2022.04.13.488201

  • Hu, F., Weinstein, S.M., Baller, E.B., Valcarcel, A.M., Adebimpe, A., Raznahan, A., Roalf, D.R., Robert-Fitzgerald, T.E., Gonzenbach, V., Gur, R.C., Gur, R.E., Vandekar, S., Detre, J.A., Linn, K.A., Alexander-Bloch, A., Satterthwaite, T.D., & Shinohara, R.T. (2022). Voxel-wise Intermodal Coupling Analysis of Two or More Modalities using Local Covariance Decomposition. Cold Spring Harbor Laboratory. doi: 10.1101/2022.02.19.481070

  • Weinstein, S.M., Davatzikos, C., Doshi, J., Linn, K.A., & Shinohara, R.T. (2022). Penalized Decomposition Using Residuals (PeDecURe) for Nuisance Variable Adjustment in Multivariate Pattern Analysis. Cold Spring Harbor Laboratory. doi: 10.1101/2022.01.27.477859

  • Weinstein, S.M., Reilly, E., Garland, N., Zimmerman, V., & Jacobs, D. (2022). Impact of a Virtual Wellness Program on Quality of Life Measures for Patients Living With Multiple Sclerosis During the COVID-19 Pandemic. Int J MS Care, 24(6), pp. 282-286. United States. doi: 10.7224/1537-2073.2021-134

  • Leavitt, V.M., Kever, A.M., Weinstein, S., Shinohara, R.T., Schmidt, H., Aoun, S.M., Solari, A., & Solomon, A.J. (2022). Patient-reported experience of multiple sclerosis diagnosis is associated with subsequent disclosure and concealment. Multiple Sclerosis and Related Disorders. Elsevier.

  • Weinstein, S.M., Vandekar, S.N., Adebimpe, A., Tapera, T.M., Robert-Fitzgerald, T., Gur, R.C., Gur, R.E., Raznahan, A., Satterthwaite, T.D., Alexander-Bloch, A.F., & Shinohara, R.T. (2021). A simple permutation-based test of intermodal correspondence. Hum Brain Mapp, 42(16), pp. 5175-5187. United States. doi: 10.1002/hbm.25577

  • Weinstein, S.M., Coates, L.C., Helliwell, P.S., Ogdie, A., & Stephens-Shields, A.J. (2021). Simulation-based design of pragmatic trials in psoriatic arthritis using propensity scores. Clin Trials, 18(5), pp. 541-551. England. doi: 10.1177/17407745211023840

  • Cozowicz, C., Memtsoudis, S.G., & Poeran, J. (2021). Risk factors for postoperative delirium in patients undergoing lower extremity joint arthroplasty: a retrospective population-based cohort study. Regional Anesthesia & Pain Medicine, 46(1), pp. 94-95. BMJ. doi: 10.1136/rapm-2020-101617

  • Weinstein, S.M., Vandekar, S.N., Adebimpe, A., Tapera, T.M., Robert-Fitzgerald, T., Gur, R.C., Gur, R.E., Raznahan, A., Satterthwaite, T.D., Alexander-Bloch, A.F., & Shinohara, R.T. (2020). A simple permutation-based test of intermodal correspondence. Cold Spring Harbor Laboratory. doi: 10.1101/2020.09.10.285049

  • Poeran, J., Cozowicz, C., Zubizarreta, N., Weinstein, S.M., Deiner, S.G., Leipzig, R.M., Friedman, J.I., Liu, J., Mazumdar, M., & Memtsoudis, S.G. (2020). Modifiable factors associated with postoperative delirium after hip fracture repair: An age-stratified retrospective cohort study. Eur J Anaesthesiol, 37(8), pp. 649-658. England. doi: 10.1097/EJA.0000000000001197

  • Memtsoudis, S., Cozowicz, C., Zubizarreta, N., Weinstein, S.M., Liu, J., Kim, D.H., Poultsides, L., Berger, M.M., Mazumdar, M., & Poeran, J. (2019). Risk factors for postoperative delirium in patients undergoing lower extremity joint arthroplasty: a retrospective population-based cohort study. Reg Anesth Pain Med. England. doi: 10.1136/rapm-2019-100700

  • Pichler, L., Weinstein, S.M., Cozowicz, C., Poeran, J., Liu, J., Poultsides, L., Saleh, J.N., & Memtsoudis, S. (2019). Reply to Deflandre and Lacroix. Reg Anesth Pain Med, 44(7), pp. 754-755. England. doi: 10.1136/rapm-2019-100541

  • Pichler, L., Weinstein, S.M., Cozowicz, C., Poeran, J., Liu, J., Poultsides, L.A., Saleh, J.N., & Memtsoudis, S.G. (2019). Perioperative impact of sleep apnea in a high-volume specialty practice with a strong focus on regional anesthesia: a database analysis. Reg Anesth Pain Med, 44(3), pp. 303-308. England. doi: 10.1136/rapm-2018-000038

  • Cozowicz, C., Poeran, J., Zubizarreta, N., Liu, J., Weinstein, S.M., Pichler, L., Mazumdar, M., & Memtsoudis, S.G. (2019). Non-opioid analgesic modes of pain management are associated with reduced postoperative complications and resource utilisation: a retrospective study of obstructive sleep apnoea patients undergoing elective joint arthroplasty. British Journal of Anaesthesia, 122(1), pp. 131-140. Elsevier BV. doi: 10.1016/j.bja.2018.08.027