Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/10387
Title: | Last observation carried forward: A crystal ball? | Authors: | Kenward, Michael G. MOLENBERGHS, Geert |
Issue Date: | 2009 | Publisher: | TAYLOR & FRANCIS INC | Source: | JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 19 (5). p. 872-888 | Abstract: | In spite of widespread criticism and notwithstanding the availability of flexible, broadly valid, and conveniently implemented methods like direct-likelihood and direct-Bayesian analyses, last observation carried forward (LOCF), baseline observation carried forward (BOCF), and complete case analysis remain popular for handling incomplete clinical trial data. To the well-known criticisms toward LOCF and BOCF, namely, that they can be either conservative or liberal depending on the context, that they can violate the intention-to-treat principle, and so on, we add that, with the exception of certain degenerate and unrealistic special cases, these methods are incompatible with the sensible requirement that the mechanism governing dropout be independent of future, unobserved measurements, given covariates, past observed measurements, and the current possibly missing measurement. | Notes: | [Molenberghs, Geert] Univ Hasselt, I BioStat, B-3590 Diepenbeek, Belgium. [Molenberghs, Geert] Katholieke Univ Leuven, I BioStat, Louvain, Belgium. [Kenward, Michael G.] London Sch Hyg & Trop Med, Med Stat Unit, London WC1, England. geert.molenberghs@uhasselt.be | Keywords: | baseline observation carried forward; BOCF; complete case analysis; direct likelihood; LOCF; missing at random; missing not at random; pattern-mixture model; selection model;Baseline observation carried forward; BOCF; Complete case analysis; Direct likelihood; LOCF; Missing at random; Missing not at random; Pattern-mixture model; Selection model | Document URI: | http://hdl.handle.net/1942/10387 | ISSN: | 1054-3406 | e-ISSN: | 1520-5711 | DOI: | 10.1080/10543400903105406 | ISI #: | 000273623200009 | Rights: | Copyright © Taylor & Francis Group, LLC | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2011 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
kenward2009.pdf Restricted Access | Published version | 137.31 kB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.