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A comparative study of three methods for analysing longitudinal pulmonary function data
Author(s) -
Diem John E.,
Liukkonen John R.
Publication year - 1988
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/sim.4780070107
Subject(s) - autoregressive model , computer science , vapours , statistics , regression analysis , longitudinal data , data set , regression , restricted maximum likelihood , maximum likelihood , econometrics , mathematics , data mining , medicine , psychiatry
We compare three methods of longitudinal analysis of pulmonary function data. Our data set is taken from a study of exposure to toluene diisocyanate (TDI) vapours in a new manufacturing plant. The first two methods are a two‐stage weighted regression method and maximum likelihood estimation via the EM algorithm, and these give very similar results. The third method, regression with an autoregressive error structure, was not successfully implemented, and in our view needs better documentation.