e-journal

Dropout in crossover and longitudinal studies: Is complete case so bad?

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We discuss inference for longitudinal clinical trials subject to possibly informative dropout. A selection of
available methods is reviewed for the simple case of trials with two timepoints. Using data from two such
clinical trials, each with two treatments, we demonstrate that different analysis methods can at times lead
to quite different conclusions from the same data. We investigate properties of complete-case estimators
for the type of trials considered, with emphasis on interpretation and meaning of parameters. We
contrast longitudinal and crossover designs and argue that for crossover studies there are often good
reasons to prefer a complete case analysis. More generally, we suggest that there is merit in an approach in
which no untestable assumptions are made. Such an approach would combine a dropout analysis, an
analysis of complete-case data only, and a careful statement of justified conclusions.

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Informasi Detail

Judul Seri

Statistical Methods in Medical Research

No. Panggil

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Penerbit

London : SAGE., 2014

Deskripsi Fisik

Statistical Methods in Medical Research 2014, Vol. 23(1) 60–73

Bahasa

English

ISBN/ISSN

DOI: 10.1177/0962280

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

2014, Vol. 23(1)

Subjek

STATISTIK

Info Detail Spesifik

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Pernyataan Tanggungjawab

agus

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