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I have a longitudinal competing risk data of the form: ID COMPL SEX HEREDITY 1 0 1 2 1 0 1 2 1 3 1 2 2 0 0 1 2 1 0 1 2 2 0 1 2 2 0 1 3 0 0 1 3 0 0 1 3 0 0 1 3 0 0 1 3 2 0 1 4 0 1 2 4 0 1

Dear All, I would like to find something ( references, code,..) to implement a comparison of three treatments in an observational study using the 'Propensity Score'. Any help is much appreciated. Thanks! Giovanni -- dr. Giovanni Parrinello Department of Biotecnologies Medical Statistics Unit University of Brescia Viale Europa, 11 25123 Brescia email: parrinel at med.unibs.it Phone:

I am analyzing data on a study of the effects of Coronary Artery Bypass Graft (CABG) on cognitive function, as measured by a score from an objective test. I have 140 people who receive the CABG surgery and 92 controls, with four measurements of cognitive function over time (at 0, 3, 12 and 36 months). I have fitted a linear mixed model using lme with a random intercept for subject and a random

Dear all, I am comparing logistic regression models to evaluate if one predictor explains additional variance that is not yet explained by another predictor. As far as I understand Baron and Li describe how to do this, but my question is now: how do I report this in an article? Can anyone recommend a particular article that shows a concrete example of how the results from te following simple

Mangia a colori II! Keywords Population, health promotion/Public Theories, Methods & Perspectives Abstract An initiative of health-promotion to the expansion of the "instruments" able to assure the control to the population on their own level of health, to improve it through activity that partly concern to the sanitary system and partly to other sectors, with the use of internal

Hi I am getting the following errors when i try to use yum to install the net-snmp paclages. [root at sc1 yum.repos.d]# yum install net-snmp Loaded plugins: fastestmirror Determining fastest mirrors Traceback (most recent call last): File "/usr/bin/yum", line 29, in ? yummain.user_main(sys.argv[1:], exit_code=True) File "/usr/share/yum-cli/yummain.py", line 229,

I have a batch of data in each line of data contains three values, calcium score, age, and sex. I would like to predict calcium scores as a function of age and sex, i.e. calcium=f(age,sex). Unfortunately the calcium scorers have a very "ugly distribution". There are multiple zeros, and multiple values between 300 and 600. There are no values between zero and 300. Needless to say, the