A comparative study of three methods for analysing longitudinal pulmonary function data
| Autor: | John E. Diem, John R. Liukkonen |
|---|---|
| Rok vydání: | 1988 |
| Předmět: |
Adult
Statistics and Probability Epidemiology Maximum likelihood Statistics as Topic computer.software_genre Models Biological Pulmonary function testing chemistry.chemical_compound Forced Expiratory Volume Expectation–maximization algorithm Statistics Humans Longitudinal Studies Lung Mathematics Toluene diisocyanate Smoking Regression Data set Autoregressive model chemistry Regression Analysis Data mining Toluene 2 4-Diisocyanate Unit-weighted regression computer Algorithms |
| Zdroj: | Statistics in Medicine. 7:19-28 |
| ISSN: | 1097-0258 0277-6715 |
| DOI: | 10.1002/sim.4780070107 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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