Analysing the rate of change in a longitudinal study with missing data, taking into account the number of contact attempts
Akacha, Mouna and Hutton, Jane (Statistician) (2009) Analysing the rate of change in a longitudinal study with missing data, taking into account the number of contact attempts. Working Paper. Coventry: University of Warwick. Centre for Research in Statistical Methodology. Working papers, Vol.2009 (No.42).
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Official URL: http://www2.warwick.ac.uk/fac/sci/statistics/crism...
In longitudinal and multivariate settings incomplete data, due to missed visits, dropouts or non-return of
questionnaires are quite common.
A longitudinal trial in which potentially informative missingness occurs is the Collaborative Ankle Support
Trial (CAST). The aim of this study is to estimate the clinical effectiveness of four different methods of
mechanical support after severe ankle sprain. The clinical status of multiple subjects was measured at four
points in time via a questionnaire and, based on this, a continuous and bounded outcome score was calculated.
Motivated by this study, a model is proposed for continuous longitudinal data with non-ignorable or
informative missingness, taking into account the number of attempts made to contact initial non-responders.
The model combines a non-linear mixed model for the underlying response model with a logistic regression
model for the reminder process.
The outcome model enables us to analyze the rate of improvement including the dependence on explanatory
variables. The non-linear mixed model is derived under the assumption that the rate of improvement in a given
time interval is proportional to the current score and the still achievable score. Based on this assumption a
differential equation is solved in order to obtain the model of interest.
The response model relates the probability of response at each contact attempt and point in time to
covariates and to observed and missing outcomes.
Using this model the impact of missingness on the rate of improvement is evaluated for different missingness
|Item Type:||Working or Discussion Paper (Working Paper)|
|Subjects:||Q Science > QA Mathematics|
|Divisions:||Faculty of Science > Statistics|
|Library of Congress Subject Headings (LCSH):||Missing observations (Statistics), Medical statistics, Clinical trials -- Mathematical models|
|Series Name:||Working papers|
|Publisher:||University of Warwick. Centre for Research in Statistical Methodology|
|Place of Publication:||Coventry|
|Number of Pages:||20|
|Status:||Not Peer Reviewed|
|Access rights to Published version:||Open Access|
1. Horton NJ, Lipsitz SR. Multiple imputation in practice: Comparison of software packages for regression models
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