Multilevel and Longitudinal Modeling Using Stata, 2nd edition by RABE‐HESKETH, S. and SKRONDAL, A.
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Maximum Likelihood Estimation (MLE) is a recommended approach to handle complex structures of missing data.
“For the analyses of secondary outcomes, we plan to apply mixed effects models by use of Maximum Likelihood Estimation (MLE) which is a recommended approach to handle complex structures of missing data.”
Cited by
Sorted by citations
Trust in the Police: The Influence of Procedural Justice and Perceived Collective Efficacy
Nix, J., Wolfe, S. E., Rojek, J., & Kaminski, R. J. (2015) · Crime & Delinquency · doi:10.1177/0011128714530548 · Cited by 274 · see citing works
Kuperberg, A., & Padgett, J. E. (2016) · Journal of Social and Personal Relationships · doi:10.1177/0265407515616876 · Cited by 86 · see citing works
Stressful life events increase the risk of major depressive episodes: A population-based twin study
Bjørndal, L. D., Kendler, K. S., Reichborn-Kjennerud, T., & Ystrom, E. (2023) · Psychological Medicine · doi:10.1017/s0033291722002227 · Cited by 35 · see citing works
Reme, S. E., Munk, A., Holter, M. T. S., Falk, R. S., & Jacobsen, H. B. (2022) · PLoS ONE · doi:10.1371/journal.pone.0268606 · Cited by 21 · see citing works
The influence of differences between venture studios on differences in venture outcomes
Patel, P. C., & Chan, C. S. R. (2024) · Venture Capital · doi:10.1080/13691066.2023.2185168 · Cited by 8 · see citing works
- Venue
- Biometrics
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-11-24
- Volume
- 64
- Issue
- 4
- Pages
- 1310-1310
- ISSN
- 0006-341X (ISSN-L)
- 1541-0420
- OpenAlex
- W4240741289
- Cited by
- 7
- References
- 0
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1 · 2020: 1 · 2019: 1
- FWCI
- 0.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biometrics (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Agriculture, Soil, Plant Science
- Keywords
- multilevel modeling, longitudinal analysis, Stata, mixed models, multilevel analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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