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Regression calibration for models with two predictor variables measured with error and their interaction, using instrumental variables and longitudinal data
Regression calibration provides a way to obtain unbiased estimators of fixed effects in regression models when one or more predictors are measured with error. Recent development of measurement error methods has focused on models that include interaction terms between measured-with-error predictors,...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2013
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4104685/ https://ncbi.nlm.nih.gov/pubmed/23901041 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5904 |
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