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Statistical Methods in Medical Research
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Analysing longitudinal continuous quality of life data with dropout

D Curran

ICON Clinical Research, Dublin, Ireland

G Molenberghs

Center for Statistics, Limburgs Universitair Centrum, Diepenbeek, Belgium

N K Aaronson

The Netherlands Cancer Institute, Amsterdam, The Netherlands

S D Fossa

The Norwegian Radium Hospital, Department of Medical Oncology and Radiotherapy, Norway

R J Sylvester

European Organization for Research and Treatment of Cancer (EORTC), Brussels, Belgium

Quality of Life (QL) is becoming an increasingly popular endpoint in phase III cancer clinical trials. However, there is still no agreement as to what is the optimal approach to analysis. In this paper we review some concepts which should be considered during a QL analysis. We present two modelling approaches that have been substantively developed in other research fields: selection models and pattern-mixture models. These models are compared using data from an EORTC clinical trial in poor-prognosis prostate cancer patients. It is illustrated that, although selection models and pattern mixture are probabilistically equivalent, they may shed completely different light on data from a modeller’s point of view.

Statistical Methods in Medical Research, Vol. 11, No. 1, 5-23 (2002)
DOI: 10.1191/0962280202sm270ra
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