Affiliations: [a] Department of Statistics, University of Delhi, Delhi, India | [b] Department of Statistics, PGDAV College, University of Delhi, Nehru Nagar, Delhi, India
Correspondence:
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Corresponding author: Garima Priyadarshini, Department of Statistics, University of Delhi, Delhi-110007, India. Tel.: +91 9582003603; E-mail:[email protected]
Abstract: In medical research, sequences of treatments may need to be applied to
subjects over a period of time. Cross-over designs, in such cases, form a
useful class for application. However, there may be some additional factor
of variation embedded into the subjects, or the required constraints for
application of a balanced design, (which is preferred), may not always be
available and the cross-over designs may need to be conducted in parts or
sessions. Nested cross-over designs are required under such conditions. Some
such situations are considered here and useful nested cross-over designs are
constructed. Relevant theory on modeling the observations obtained from such
designs is also provided.
