comp.soft-sys.sas - The SAS statistics package.
Does anyone have advice/code regarding doing probabilistic linkage in sas? Carolyn
If you have SAS/OR, look at PROC ASSIGN. On Fri, 29 Aug 2003 17:25:52 +0200, Hans Reitsma < XXXX@XXXXX.COM > wrote: >Dear all > >After a probabilistic record linkage operation of two files >(A and B) we have a file with potential links, e.g. pairs of >records from file A and B whose total weights are above a >certain cut-off value. Some of these potential links are >intertangled (is that the right word?) meaning that 1 record >from file A can be linked to two different records of file >B. The weights can be different, but they are both above the >cut-off value. We know that only one record from file A (or >B) can be linked to only one record in the other file. This >example is easy to solve, the pair with the highest weight >wins and becomes the link, the other becomes a non-link. > >However, more complex situations occur (see also example >data). In these situations., I want to obtain the solution >that maximises the total sum of weights of all the pairs >that belong to that solution. This means that not >automatically the link with the highest weight wins. Here >are some sample data to clarify the issue. > > >Cluster id_a id_b weight Desired result >total weight of solution (links) >1 1 3 11 non-link >1 1 6 13 link >13 > >2 3 8 11 non-link >2 4 9 11 link >2 5 8 14 link >2 5 9 13 non-link >25 > > > >Any help, suggestions? > > > >Hans Reitsma, MD PhD > >Dept. of Clinical Epidemiology & Biostatistics > >PO Box 22700, 1100 DE, Amsterdam, The Netherlands > >Phone: +31-20-5663273, Fax: +31-20-6912683 > >E-mail: XXXX@XXXXX.COM
I have a dataset which is not exactly as standard time series. So the PROC ARIMA cannot be appried directly. I need to write a customerized ARMA under proc model framework, specifically, AR(1)+MA(1). If anyone has some sample codes, it would be a great helpful. TIA.
Hi All, Has anyone have used generalized linear models to model time series data especially multivariate time series? I came upon a book on this topic. the book name is "Regression Models for Time Series Analysis" and you can find it sold on amazon. There is no way that my company would buy SAS/ETS. Now I am on the steep learning curve of modeling multivariate time series data using R. The time series stuff itself is new for me and the lack of documentation and different and confusing R library makes matter even worse. Actually I focus more on model reference than the forecasting accuracy. Maybe the regress analysis is a better options. Is there any papers or examples I can read and learn? Thanks. Ming Chen