| Autor: |
Chinchilli VM; Center for Biostatistics & Epidemiology, College of Medicine, Pennsylvania State University, Hershey 17033-0850, USA., Esinhart JD |
| Jazyk: |
angličtina |
| Zdroj: |
Statistics in medicine [Stat Med] 1996 Aug 15; Vol. 15 (15), pp. 1619-34. |
| DOI: |
10.1002/(SICI)1097-0258(19960815)15:15<1619::AID-SIM326>3.0.CO;2-N |
| Abstrakt: |
Recently, interest has grown in the development of inferential techniques to compare treatment variabilities in the setting of a cross-over experiment. In particular, comparison of treatments with respect to intra-subject variability has greater interest than has inter-subject variability. We begin with a presentation of a general approach for statistical inference within a cross-over design. We discuss three different statistical models where model choice depends on the design and assumptions about carry-over effects. Each model incorporates t-variate random subject effects, where t is the number of treatments. We develop maximum likelihood (ML) and restricted maximum likelihood (REML) approaches to derive parameter estimators and we consider a special case in which closed-form expressions for the variance component estimators are available. Finally, we illustrate the methodologies with the analysis of data from three examples. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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