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Sensitivity Analysis: Introduction and Overview
| Content Provider | Scilit |
|---|---|
| Author | Molenberghs, Geert Fitzmaurice, Garrett Kenward, Michael G. Tsiatis, Anastasios Verbeke, Geert |
| Copyright Year | 2014 |
| Description | It has been seen in Chapters 1 and 3 how, given an MAR missing data mechanism, a valid analysis that ignores the missing value mechanism can be obtained within a likelihood or Bayesian framework, provided that mild regularity conditions hold. For simple nonlikelihood-based frequentist inferences, the more stringent MCAR assumption is required. An important class of modiļ¬ed frequentist methods are also valid under MAR however; these include inverse probability weighted and doubly robust semi-parametric approaches (Robins, Rotnitzky, and Zhao 1994, Bang and Robins 2005) (see Chapters 8 and 9). Further, semiparametric and other frequentist approaches can be combined with multiple imputation to yield inferences that hold under MAR (see Part IV of this volume). An increasing number of software implementations of these methods are now appearing in standard software. 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/b17622-27&format=pdf |
| Ending Page | 348 |
| Page Count | 6 |
| Starting Page | 343 |
| DOI | 10.1201/b17622-27 |
| 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 |
| Content Type | Text |
| Resource Type | Chapter |
