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A cross-validation deletion–substitution–addition model selection algorithm: Application to marginal structural models
The cross-validation deletion–substitution–addition (cvDSA) algorithm is based on data-adaptive estimation methodology to select and estimate marginal structural models (MSMs) for point treatment studies as well as models for conditional means where the outcome is continuous or binary. The algorithm...
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| I publikationen: | Comput Stat Data Anal |
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| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2010
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4259156/ https://ncbi.nlm.nih.gov/pubmed/25505354 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2010.02.002 |
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