## Abstract Missing data are a common problem in longitudinal studies in the health sciences. Motivated by data from the Muscatine Coronary Risk Factor (MCRF) study, a longitudinal study of obesity, we propose a simple imputation method for handling nonโignorable nonโresponses (i.e., when nonโrespo
A simple non-destructive method for studying longitudinal dispersion profiles
โ Scribed by S.T. Thuraisingham; G.D. Towner
- Book ID
- 103005597
- Publisher
- Elsevier Science
- Year
- 1978
- Tongue
- English
- Weight
- 299 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0009-2509
No coin nor oath required. For personal study only.
โฆ Synopsis
The method uses a highly coloured dye as the dlspersmg solute flowing m a translucent porous bed made up of glass beads The concentratron profiles along the column are determmed by comparmg the colour of the dlspersmg dye with known standards Some of the perturbmg effects that distort breakthrough data are avolded or reduced, and curves are presented to dlustrate this As an example of Its use, the measurements are analysed usmg the appropriate solution of the dispersion equation and are shown to be m general concordance with prevlonsly pubhshed data, which has generally been obtamed from measurements made on the effluent from the end of the column
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