Number of subjects and time points needed for multilevel time-series analysis: A simulation study of dynamic structural equation modeling M Schultzberg, B Muthén Structural equation modeling: a multidisciplinary journal 25 (4), 495-515, 2018 | 235 | 2018 |
Rising with the sun? Encouraging solar electricity self-consumption among apartment owners in Sweden I Öhrlund, B Stikvoort, M Schultzberg, C Bartusch Energy Research & Social Science 64, 101424, 2020 | 30 | 2020 |
Identifying and estimating the effects of a mandatory billing demand charge I Öhrlund, M Schultzberg, C Bartusch Applied Energy 237, 885-895, 2019 | 27 | 2019 |
On optimal rerandomization designs P Johansson, DB Rubin, M Schultzberg Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2021 | 19 | 2021 |
Rerandomization strategies for balancing covariates using pre-experimental longitudinal data P Johansson, M Schultzberg Journal of Computational and Graphical Statistics 29 (4), 798-813, 2020 | 19 | 2020 |
Application of the economic theory of self-control to model energy conservation behavioral change in households B Lundgren, M Schultzberg Energy 183, 536-546, 2019 | 17 | 2019 |
Rerandomization: A complement or substitute for stratification in randomized experiments? P Johansson, M Schultzberg Journal of Statistical Planning and Inference 218, 43-58, 2022 | 15 | 2022 |
Properties of restricted randomization with implications for experimental design M Nordin, M Schultzberg Journal of Causal Inference 10 (1), 227-245, 2022 | 8 | 2022 |
Dynamic structural equation modeling of intensive longitudinal data using multilevel time series analysis in Mplus version 8 part 7 M Schultzberg, B Muthén, T Asparouhov, E Hamaker Workshop at Johns Hopkins University, 2017 | 6 | 2017 |
Asymptotic inference for optimal rerandomization designs M Schultzberg, P Johansson Open Statistics 1 (1), 49-58, 2020 | 4 | 2020 |
Re-randomization strategies for balancing covariates using pre-experimental longitudinal data P Johansson, M Schultzberg Department of Statistics, Uppsala University, 2019 | 2 | 2019 |
Does energy-effective behavior matter for energt conservation? B Lundgren, M Schultzberg | 2 | 2019 |
Marknadsstyrd effekttariff: Efterfrågeflexibilitet i kundgruppen 35-63A C Bartusch, I Öhrlund, M Schultzberg | 2 | 2018 |
Risk-aware product decisions in A/B tests with multiple metrics M Schultzberg, S Ankargren, M Frånberg arXiv preprint arXiv:2402.11609, 2024 | 1 | 2024 |
Resampling-free bootstrap inference for quantiles M Schultzberg, S Ankargren Proceedings of the Future Technologies Conference, 548-562, 2022 | 1 | 2022 |
Statistical Properties of Exclusive and Non-exclusive Online Randomized Experiments Using Bucket Reuse M Schultzberg, O Kjellin, J Rydberg Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1, 773-806, 2022 | 1 | 2022 |
Causal Inference in Observational Studies and Experiments: Theory and Applications M Schultzberg Acta Universitatis Upsaliensis, 2019 | 1 | 2019 |
Causal effects in mediation analysiswith limited-dependent variables M Schultzberg | 1 | 2016 |
Precision-based designs for sequential randomized experiments M Nordin, M Schultzberg arXiv preprint arXiv:2405.03487, 2024 | | 2024 |
Is Fisher inference inferior to Neyman inference for policy analysis? R Ahmad, P Johansson, M Schultzberg Statistical Papers, 1-21, 2024 | | 2024 |