Thanks, David. I am looking into some survey sample analysis tools at this very moment. I am trying to analyze the survey data collected from respondent driven sampling method (which is causing all the pain). I am trying to adjust for both sampling weights and correlation of the data (cross sectional, the dependence variable is binary).

Minya

On 1/7/07, David L Cassell <davidlcassell@msn.com> wrote: > minya.pu@GMAIL.COM wrote back: > > > >On 1/2/07, Dale McLerran <stringplayer_2@yahoo.com> wrote: > >>--- Minya Pu <minya.pu@GMAIL.COM> wrote: > >> > >> > Hi, > >> > I want to do a logistic regression model with random effects but I > >> > need to sepcify my own design matrix for the random effects. Can I do > >> > it in proc glimmix or anything similar? If so, how? > >> > > >> > Thanks very much, > >> > Minya > >> > > >> > >>Minya, > >> > >>The GLIMMIX procedure employs two design matrices, one specified > >>by effects (variables) listed on the right hand side of your MODEL > >>statement (the fixed effect design matrix) and the other constructed > >>from effects listed on RANDOM statements (the random effect design > >>matrix, as if there was any doubt!). Either of these may be > >>affected by naming an effect on a CLASS statement. > >> > >>Now, since the design matrices are simply the collection of all > >>predictor variables which are identified as either fixed or random, > >>then you can use any data manipulation methods you like to construct > >>those design matrices. Specifically, you could construct a set of > >>predictor variables in a data step and name those variables on a > >>RANDOM statement. > >> > >>In order to offer advice which is more specific than that, you need > >>to be more specific about what you want for your random effect design. > >> > >>Dale > >> > >> > >>--------------------------------------- > >>Dale McLerran > >>Fred Hutchinson Cancer Research Center > >>mailto: dmclerra@NO_SPAMfhcrc.org > >>Ph: (206) 667-2926 > >>Fax: (206) 667-5977 > > >Dale, > > I wanted to use random effects to take care of the correlation > >among the subjects caused by a complicated recruitment method. It is > >easy for me to construct a design matrix than to derive the matrix > >from some variables. I will think about the latter and ask for more > >advice later. > > > >Thanks for the response, > >Minya > > That sounds like you have a survey sample, and you should be using > survey sample analysis techniques instead of random effects to model > your data structure. Perhaps, if oyu explain more about the data > sources and the data scope and the meta-data, a better analysis > plan will emerge. > > HTH, > David > -- > David L. Cassell > mathematical statistician > Design Pathways > 3115 NW Norwood Pl. > Corvallis OR 97330 > > _________________________________________________________________ > Find sales, coupons, and free shipping, all in one place! MSN Shopping > Sales & Deals > http://shopping.msn.com/content/shp/?ctid=198,ptnrid=176,ptnrdata=200639 >