| Re-evaluating the effect of age on physical activity over the lifespan VR Varma, D Dey, A Leroux, J Di, J Urbanek, L Xiao, V Zipunnikov Preventive medicine 101, 102-108, 2017 | 211 | 2017 |
| refund: Regression with functional data J Goldsmith, F Scheipl, L Huang, J Wrobel, J Gellar, J Harezlak, ... R package version 0.1-16 572, 2016 | 198 | 2016 |
| An activity index for raw accelerometry data and its comparison with other activity metrics J Bai, C Di, L Xiao, KR Evenson, AZ LaCroix, CM Crainiceanu, ... PloS one 11 (8), e0160644, 2016 | 190 | 2016 |
| Fast covariance estimation for high-dimensional functional data L Xiao, V Zipunnikov, D Ruppert, C Crainiceanu Statistics and Computing 26 (1-2), 409-421, 2016 | 148 | 2016 |
| Fast bivariate P‐splines: the sandwich smoother L Xiao, Y Li, D Ruppert Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2013 | 146 | 2013 |
| On the sample covariance matrix estimator of reduced effective rank population matrices, with applications to fPCA F Bunea, L Xiao Bernoulli 21 (2), 1200-1230, 2015 | 118 | 2015 |
| Fast covariance estimation for sparse functional data L Xiao, C Li, W Checkley, C Crainiceanu Statistics and Computing, 1-12, 2016 | 104 | 2016 |
| Quantifying the lifetime circadian rhythm of physical activity: a covariate-dependent functional approach L Xiao, L Huang, JA Schrack, L Ferrucci, V Zipunnikov, CM Crainiceanu Biostatistics 16 (2), 352-67, 2015 | 96 | 2015 |
| Fast covariance estimation for multivariate sparse functional data C Li, L Xiao, S Luo Stat 9 (1), e245, 2020 | 65 | 2020 |
| Fetal growth velocity standards from the Fetal Growth Longitudinal Study of the INTERGROWTH-21st Project EO Ohuma, J Villar, Y Feng, L Xiao, L Salomon, FC Barros, LC Ismail, ... American Journal of Obstetrics and Gynecology 224 (2), 208. e1-208. e18, 2021 | 56 | 2021 |
| Asymptotic theory of penalized splines L Xiao Electronic Journal of Statistics 13 (1), 747-794, 2019 | 55 | 2019 |
| Convex banding of the covariance matrix J Bien, F Bunea, L Xiao Journal of the American Statistical Association 111 (514), 834-845, 2016 | 55 | 2016 |
| refund: Regression with Functional Data, 2018 J Goldsmith, F Scheipl, L Huang, J Wrobel, J Gellar, J Harezlak, ... R package version 0.1-17, 0 | 51 | |
| Refund: regression with functional data. R package version 01-16 J Goldsmith, F Scheipl, L Huang, J Wrobel, J Gellar, J Harezlak, ... | 48 | 2016 |
| Joint model for survival and multivariate sparse functional data with application to a study of Alzheimer's Disease C Li, L Xiao, S Luo Biometrics 78 (2), 435-447, 2022 | 46 | 2022 |
| Dynamic prediction in functional concurrent regression with an application to child growth A Leroux, L Xiao, C Crainiceanu, W Checkley Statistics in medicine 37 (8), 1376-1388, 2018 | 42 | 2018 |
| Learning regulatory programs by threshold SVD regression X Ma, L Xiao, WH Wong Proceedings of the National Academy of Sciences 111 (44), 15675-15680, 2014 | 37 | 2014 |
| Total volume of physical activity: TAC, TLAC or TAC (λ) VR Varma, D Dey, A Leroux, J Di, J Urbanek, L Xiao, V Zipunnikov Preventive medicine 106, 233-235, 2018 | 35 | 2018 |
| Fast Multilevel Functional Principal Component Analysis E Cui, R Li, CM Crainiceanu, L Xiao Journal of Computational and Graphical Statistics 32 (2), 366-377, 2023 | 34 | 2023 |
| Asymptotic properties of penalized splines for functional data L Xiao Bernoulli 26 (4), 2847-2875, 2020 | 33 | 2020 |
Ciprian CrainiceanuProfessor of Biostatistics, Johns Hopkins UniversityVerified email at jhsph.edu
