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ANALYSIS OF CROSS‐OVER TRIALS FOR DURATION DATA
Author(s) -
LINDSEY J. K.,
JONES B.,
LEWIS J. A.
Publication year - 1996
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19960315)15:5<527::aid-sim179>3.0.co;2-k
Subject(s) - covariate , computer science , duration (music) , markov model , statistics , econometrics , markov chain , linear model , survival analysis , log linear model , data mining , mathematics , machine learning , art , literature
Survival models and cross‐over designs both have an established place in biomedical research. Surprisingly, there are few examples of proper exploitation of the two in combination. A number of advantages and disadvantages of such studies are discussed. Two examples are used to illustrate the application of semi‐Markov models with time‐varying covariates, as standard log‐linear models, to such data.