The authors consider the estimation of regression parameters in the context of a class of generalized pmportional hazards models, termed linear transformation models, in the presence of interval-censored data. They present an estimating equation appach whose good performance is demonstrated through
Non-linear regression and variance ratio analysis of time based NMR data
β Scribed by Zoltan H. Endre; Ronald G. Duggleby
- Publisher
- John Wiley and Sons
- Year
- 1993
- Tongue
- English
- Weight
- 609 KB
- Volume
- 6
- Category
- Article
- ISSN
- 0952-3480
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β¦ Synopsis
Abstract
Biomedical NMR experiments rely frequently on data obtained sequentially over time. A method is presented for analysis of time based NMR data, which allows modelling of continuous and discontinuous functions to observed intensity changes by nonβlinear regression and which uses variance ratio analysis to compare these models statistically. The method eliminates many of the usual problems in the parametric analysis of experimental values obtained at discrete time points and of comparison of the coefficients of model functions which require unsubstantiated assumptions about the distribution of parameters and ignore internal correlations which may exist between such parameters. The variance ratio method is illustrated for multiple time courses obtained with ^23^Na NMR of perfused rat kidney undergoing hypoxic perturbation in the presence of different treatments.
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