Transcription of Strategy for modelling non-random missing data mechanisms ...
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Strategy for modelling non-random missing data mechanisms ...
Strategy for modelling non-random missing data mechanisms in observational studies using bayesian methods Alexina Mason1 , Sylvia Richardson1 , Ian Plewis2 and Nicky Best1. 1 Department of Epidemiology and Biostatistics, Imperial College London, UK. 2 Social Statistics, University of Manchester, UK. Abstract observational studies inevitably su er from non-responses and missing values. bayesian full probability modelling provides a exible approach for analysing such data, allowing a plausible model to be built which can then be adapted to carry out a range of sensitivity analyses.
Strategy for modelling non-random missing data mechanisms in observational studies using Bayesian methods Alexina Mason1, Sylvia Richardson1, Ian Plewis2 and Nicky Best1 1Department of Epidemiology and Biostatistics, Imperial College London, UK 2Social Statistics, University of Manchester, UK Abstract Observational studies inevitably suffer from non-responses and missing values.
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