Abstract

URANGA, Rolando. Transition models with intermittent missing data: implementation and application to a Cuban clinical trial. Vaccimonitor [online]. 2011, vol.20, n.2, pp. 11-16. ISSN 1025-028X.

The present work offers a useful tool for fitting transition models under the problematic scenario of intermittent missing data patterns in collected longitudinal data. A solution to this problem is given using the implicit easiness in the NLMIXED procedures from the statistical software SAS (Statistical Analysis System) for Windows, version 9.1.3.In addition, a practical application is provided, where a transition model matches the clinical laboratory data of a trial that evaluated, among other objectives, the safety of a skin cancer Cuban vaccine.

Keywords : Longitudinal data; transition model; missing data patterns; missing data mechanism; clinical assay.

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