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The use of lung function tests in identifying factors that affect lung growth and aging
Author(s) -
Buist A. Sonia,
Vollmer William M.
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.4780070106
Subject(s) - covariate , censoring (clinical trials) , lung , abnormality , pulmonary function testing , lung function , medicine , computer science , pathology , machine learning , psychiatry
Lung function tests are used both clinically, in assessing disease, and epidemiologically, in identifying those factors which influence the growth and aging process of the lungs. The user must beware of several common pitfalls in the use of these tests. however. First, the commonly used tests of lung function can only identify patterns of dysfunction, not specific pathologic processes. Second, these tests are subject to many sources of intra‐ and inter‐subject variability, making it difficult to dissect out the signal (for example, the rate of lung aging in adults) from the noise which may greatly exceed the signal. Finally, the analysis of longitudinal pulmonary function data is complicated by the alinearity of the growth and aging process, missing data, variable follow‐up times, information censoring mechanisms and covariate processes, and problems in defining abnormality.