All publications

Aug 25, 2020

* Joint first co-authorship.
$^+$ Joint last co-authorship.

Smartphone screen time characteristics in people with suicidal thoughts: retrospective observational data analysis study by Karas, M., Huang, D., Clement, Z., Millner, A. J., Kleiman, E. M., Bentley, K. H., Zuromski, K. L., Fortgang, R. G., DeMarco, D., Haim, A., Donovan, A., Buonopane, R. J., Bird, S. A., Smoller, J. W., Nock, M. K., Onnela, J.-P. (2024). JMIR mHealth and uHealth, 12(1), e57439.
Journal | Code
Tracking amyotrophic lateral sclerosis disease progression using passively collected smartphone sensor data by Karas*, M., Olsen*, J., Straczkiewicz, M., Johnson, S. A., Burke, K. M., Iwasaki, S., Lahav, A., Scheier, Z. A., Clark, A. P., Iyer, A. S., Huang, E., Berry, J. D., Onnela, J.-P. (2024). Annals of Clinical and Translational Neurology, 11(6), 1380–1392.
Journal | Code
Upper limb movements as digital biomarkers in people with ALS by Straczkiewicz, M., Karas, M., Johnson, S. A., Burke, K. M., Scheier, Z., Royse, T. B., Calcagno, N., Clark, A., Iyer, A., Berry, J. D., Onnela, J.-P. (2024). eBioMedicine, 101.
Journal | Code (biomarker derivation) | Code (statistical analysis)
Advancing clinical development for neuronopathic Hunter Syndrome through a quantitatively-driven reverse translation framework by Latzman, R.D., Campagne, O., Modi, M.E., Karas, M., Malinga, C.J., Whiteman, D.A.H. (2024). Clinical and Translational Science. Clinical and Translational Science, 17(4), e13776.
PubMed (free) | Journal

Wearable device and smartphone data quantify ALS progression and may provide novel outcome measures by Johnson, S. A.*, Karas, M.*, Burke, K. M., Straczkiewicz, M., Scheier, Z. A., Clark, A. P., Iwasaki, S., Lahav, A., Iyer, A. S., Onnela, J.-P., Berry, J. D. (2023). Npj Digital Medicine, 6(1), 34.
Journal | Code
Estimating knee movement patterns of recreational runners across training sessions using multilevel functional regression models by Matabuena, M.*, Karas, M.*, Riazati, S., Caplan, N., Hayes, P. R. (2023). The American Statistician, 77(2), 169–181.
Preprint (free) | Journal | Code
Free-living gait cadence measured by wearable accelerometer: a promising alternative to traditional measures of mobility for assessing fall risk by Urbanek, J. K., Roth, D. L., Karas, M., Wanigatunga, A. A., Mitchell, C. M., Juraschek, S. P., Cai, Y., Appel, L. J., Schrack, J. A. (2023). The Journals of Gerontology: Series A, 78(5), 802–810.
PubMed (free) | Journal

Quantification of acceleration as activity counts in ActiGraph wearable. by Neishabouri, A., Nguyen, J., Samuelsson, J., Guthrie, T., Biggs, M., Wyatt, J., Cross, D., Karas, M., Migueles, J. H., Khan, S., Guo, C. C. (2022). Scientific Reports, 12(1), 11958.
Journal | Software
Comparison of accelerometry-based measures of physical activity: retrospective observational data analysis study by Karas, M.*, Muschelli, J.*, Leroux, A., Urbanek, J. K., Wanigatunga, A. A., Bai, J., Crainiceanu, C. M., Schrack, J. A. (2022). JMIR mHealth and uHealth, 10(7), e38077.
Journal | Code
Performance analyses of step-counting algorithms using wrist accelerometry by Pilkar, R., Gerstel, D., Toole, E., Biggs, M., Guthrie, T., Karas, M., Achkar, C. M. E., Renevey, P., Soltani, A., Sloan, S., Nguyen, J., Patterson, M. R., Ferrario, D., Lemay, M., Neishabouri, A., Guo, C. (2022). [Preprint].
Preprint
Smartphone-based gait cadence to identify older adults with decreased functional capacity by Rubin, D. S., Ranjeva, S. L., Urbanek, J. K., Karas, M., Madariaga, M. L. L., Huisingh-Scheetz, M. (2022). Digital Biomarkers, 6(2), 61–70.
Journal

Upstrap for estimating power and sample size in complex models by Karas, M., Crainiceanu, C. M. (2021). [Preprint].
Preprint | Code
Adaptive empirical pattern transformation (ADEPT) with application to walking stride segmentation by Karas, M., Straczkiewicz, M., Fadel, W., Harezlak, J., Crainiceanu, C. M., Urbanek, J. K. (2021). Biostatistics, 22(2), 331–347.
Journal | Code | Software (R) | Software (Python)
Estimation of free-living walking cadence from wrist-worn sensor accelerometry data and its association with SF-36 quality of life scores by Karas, M., Urbanek, J. K., Illiano, V. P., Bogaarts, G., Crainiceanu, C. M., Dorn, J. F. (2021). Physiological Measurement, 42(6), 065006.
Preprint | Journal | Code | Software
Connectivity‐informed adaptive regularization for generalized outcomes by Brzyski, D., Karas, M., M Ances, B., Dzemidzic, M., Goñi, J., W Randolph, T., Harezlak, J. (2021). Canadian Journal of Statistics, 49(1), 203–227.
Journal

Predicting subjective recovery from lower limb surgery using consumer wearables by Karas, M., Marinsek, N., Goldhahn, J., Foschini, L., Ramirez, E., Clay, I. (2020). Digital Biomarkers, 4(Suppl. 1), 73–86.
Journal

Accelerometry data in health research: challenges and opportunities. Review and examples by Karas, M., Bai, J., Strączkiewicz, M., Harezlak, J., Glynn, N. W., Harris, T., Zipunnikov, V., Crainiceanu, C., Urbanek, J. K. (2019). Statistics in Biosciences, 11(2), 210–237.
PubMed | Journal
Brain connectivity-informed regularization methods for regression by Karas, M., Brzyski, D., Dzemidzic, M., Goñi, J., Kareken, D. A., Randolph, T. W., Harezlak, J. (2019). Statistics in Biosciences, 11(1), 47–90.
PubMed | Journal | Software