A dynamic approach for reconstructing missing longitudinal data using the linear increments model
نویسندگان
چکیده
منابع مشابه
A dynamic approach for reconstructing missing longitudinal data using the linear increments model
Missing observations are commonplace in longitudinal data. We discuss how to model and analyze such data in a dynamic framework, that is, taking into consideration the time structure of the process and the influence of the past on the present and future responses. An autoregressive model is used as a special case of the linear increments model defined by Farewell (2006. Linear models for censor...
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Linear increments (LI) are used to analyse repeated outcome data with missing values. Previously, two LI methods have been proposed, one allowing non-monotone missingness but not independent measurement error and one allowing independent measurement error but only monotone missingness. In both, it was suggested that the expected increment could depend on current outcome. We show that LI can all...
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ژورنال
عنوان ژورنال: Biostatistics
سال: 2010
ISSN: 1468-4357,1465-4644
DOI: 10.1093/biostatistics/kxq014