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if i have a multiple linear regression model i want to perform, but i want to see what filters of other variable sin my data set will provide the best model. is there a way for me to use spss to just find the best model like that, or can i only do this through trial and error and just trying different filters and then doing regression on those filters. thanks.
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What do you mean by filter here? Are you varying the variables in the
equation or the cases? If the former, the notion of best subset is somewhat controversial among statisticians and if the mean the latter, that's called cooking the data. Best is especially tenuous if your variables are highly correlated. -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of jimjohn Sent: Monday, March 10, 2008 8:35 AM To: [hidden email] Subject: how to find best regression model if i have a multiple linear regression model i want to perform, but i want to see what filters of other variable sin my data set will provide the best model. is there a way for me to use spss to just find the best model like that, or can i only do this through trial and error and just trying different filters and then doing regression on those filters. thanks. -- View this message in context: http://www.nabble.com/how-to-find-best-regression-model-tp15950784p15950784. html Sent from the SPSSX Discussion mailing list archive at Nabble.com. ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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In reply to this post by jimjohn
First, you should avoid using stepwise variable
selection. Frank Harrell's book, "Regression Modeling Strategies," provides a systemic method in model building. Unfortunately, it is difficult to implement these more modern model building strategies in SPSS, eg, restricted cubic splines, calibration and validation via the bootstrap, shrinkage/penalized methods, etc. Fortunately, these methods can be implemented in R, which is free. In addition, Bayesian model averaging can be done in R. LASSO and LAR are now available in SAS. Scott Millis --- jimjohn <[hidden email]> wrote: > if i have a multiple linear regression model i want > to perform, but i want to > see what filters of other variable sin my data set > will provide the best > model. is there a way for me to use spss to just > find the best model like > that, or can i only do this through trial and error > and just trying > different filters and then doing regression on those > filters. thanks. Scott R Millis, PhD, MEd, ABPP (CN,CL,RP), CStat Professor & Director of Research Dept of Physical Medicine & Rehabilitation Wayne State University School of Medicine 261 Mack Blvd Detroit, MI 48201 Email: [hidden email] Tel: 313-993-8085 Fax: 313-966-7682 ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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