Gaps in the usage and reporting of multiple imputation for incomplete data: findings from a scoping review of observational studies addressing causal questions
Abstract Background Missing data are common in observational studies and often occur in several of the variables required when estimating a causal effect, i.e. the exposure, outcome and/or variables used to control for confounding. Analyses involving multiple incomplete variables are not as straight...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2024-09-01
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| coleção: | BMC Medical Research Methodology |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1186/s12874-024-02302-6 |
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