View : 386 Download: 0

Weighted random regression models and dropouts

Title
Weighted random regression models and dropouts
Authors
Ahn, HJung, SHKang, SN
Ewha Authors
강승호
SCOPUS Author ID
강승호scopus
Issue Date
2004
Journal Title
DRUG INFORMATION JOURNAL
ISSN
0092-8615JCR Link
Citation
DRUG INFORMATION JOURNAL vol. 38, no. 2, pp. 135 - 141
Keywords
weighted random regressiondropoutssimulation
Publisher
DRUG INFORMATION ASSOCIATION
Indexed
SCOPUS WOS scopus
Document Type
Article
Abstract
In studies with repeated measurements, one of the popular primary interests is the comparison of the rates of change in a response variable between groups. The random regression model (RRM) has been offered as a potential solution to statistical problems posed by dropouts in clinical trials. However, the power of RRM tests for differences in rates of change can be seriously reduced due to dropouts. We examine the effect of dropouts on the power of RRM tests for testing differences in the rates of change between two groups through simulation. We examine the performance of weighted random regression models, which assign equal weights to subjects, equal weights to measurements, and optimal weights that minimize the variance of the regression coefficient. We perform the simulation study to evaluate the performance of the above three weighting schemes using type I errors and the power in repeated measurements data as affected by different dropout mechanisms such as random dropouts and treatment-dependent dropouts.
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

BROWSE