Crabb, David
2004-Aug-10 11:52 UTC
[R] Help with Normal Range Estimation for repated measures
I would be grateful if members of the list could point me in the direction of any code (preferably in R) that will allow me to estimate 95th percentiles from a set of repeated measurements. For example, we are interested in a clinical measurement where we have 3 measures for 14 subjects and 2 measurements on 24 subjects and single measurement on 36 subjects. We want to combine these to form a Normal range by using something that takes account that some of the measures are repeats. Something non-parametric would be ideal like a weighted empirical distribution function. In other words we don't simply want to use 84 single values from the 84 subjects but use all the data (but we are aware this needs to be corrected for). Any help, however small, with this problem will be gratefully received. ----------------------------------------------- Dr. David Crabb School of Science, The Nottingham Trent University, Clifton Campus, Nottingham. NG11 8NS Tel: 0115 848 3275 Fax: 0115 848 6690
Vito Ricci
2004-Aug-10 12:23 UTC
[R] Help with Normal Range Estimation for repated measures
Hi David, I can only suggest you to see these links concerning quantile estimation: http://www.stanford.edu/class/msande223/handouts/lecturenotes09.pdf http://www.math.ntnu.no/mmr2002/papers/invited/Bordes.pdf maybe you find something helpful for your work. See also ? quantile() in R. I hope I give you a small help. Best Vito I would be grateful if members of the list could point me in the direction of any code (preferably in R) that will allow me to estimate 95th percentiles from a set of repeated measurements. For example, we are interested in a clinical measurement where we have 3 measures for 14 subjects and 2 measurements on 24 subjects and single measurement on 36 subjects. We want to combine these to form a Normal range by using something that takes account that some of the measures are repeats. Something non-parametric would be ideal like a weighted empirical distribution function. In other words we don't simply want to use 84 single values from the 84 subjects but use all the data (but we are aware this needs to be corrected for). Any help, however small, with this problem will be gratefully received. ----------------------------------------------- Dr. David Crabb School of Science, The Nottingham Trent University, Clifton Campus, Nottingham. NG11 8NS Tel: 0115 848 3275 Fax: 0115 848 6690 ====Diventare costruttori di soluzioni Visitate il portale http://www.modugno.it/ e in particolare la sezione su Palese http://www.modugno.it/archivio/cat_palese.shtml
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