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The Effect of Drop‐Out on the Efficiency of Longitudinal Experiments
Author(s) -
Verbeke Geert,
Lesaffre Emmanuel
Publication year - 1999
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.1111/1467-9876.00158
Subject(s) - drop (telecommunication) , longitudinal data , drop out , computer science , missing data , econometrics , mathematics , statistics , data mining , economics , telecommunications , demographic economics
It is shown that drop‐out often reduces the efficiency of longitudinal experiments considerably. In the framework of linear mixed models, a general, computationally simple method is provided, for designing longitudinal studies when drop‐out is to be expected, such that there is little risk of large losses of efficiency due to the missing data. All the results are extensively illustrated using data from a randomized experiment with rats.