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Sensitivity Analysis with Multiple Imputation
| Content Provider | Scilit |
|---|---|
| Author | Molenberghs, Geert Fitzmaurice, Garrett Kenward, Michael G. Tsiatis, Anastasios Verbeke, Geert |
| Copyright Year | 2014 |
| Description | This chapter describes a range of practical approaches for sensitivity analysis via multiple imputation. Following a general introduction, Section 19.2 briefly reviews the theory underlying the analysis of data when missing values are NMAR, in particular focusing on the contrast between the pattern-mixture and selection model approaches. This has been dealt with in some detail in earlier chapters, especially 4 and 16. Section 19.3 describes a pattern mixture approach, illustrating its application with missing covariate and survival data. Section 19.4 targets specific issues raised by longitudinal data in clinical trials describing the “Δ-method” (Section 19.4.3) and “reference-based imputation” approach (Section 19.4.5). The latter has been recently proposed by Carpenter et al. (2013); see also Mallenckrodt (2013) and O'Kelly and Ratitch (2014, Ch. 7). These approaches are very flexible and prac- advantage being that they avoid direct estimation of an NMAR model. They are contrasted in Section 19.5 with a selection model formulation. Again, direct estimation of an NMAR model is avoided, here through reweighting of the imputations from the MAR model. We conclude with a brief discussion in Section 19.6. Book Name: Handbook of Missing Data Methodology |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2010-0-40491-8&isbn=9780429104770&doi=10.1201/b17622-31&format=pdf |
| Ending Page | 494 |
| Page Count | 36 |
| Starting Page | 459 |
| DOI | 10.1201/b17622-31 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2014-11-06 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Handbook of Missing Data Methodology Statistics and Probability Survival Imputation Contrast Missing Section Avoided |
| Content Type | Text |
| Resource Type | Chapter |
