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im new to binary logistic regression. I don't know whether the test is giving me real results based on my data set.

My dependent variable will be the presence of STEC in fecal samples (Presence= Yes, Absence = No) .

I have 9 independent variables: Season: Winter = 0, summer = 1 Geographic location: Urban = 0, rural = 1 Production systems: Backyard/extensive = 0, Intensive/semi-intensive = 1 Age: <12 months = o, >12 months = 1 lactation: dry cow = 0, lactating cow = 1 Antibiotics treatment: No= 0, Yes = 1 Parity number: no parity= 0, parity number >1 = 1 Feed: Forages = 0, others = 1 Health status: Disease = 0, healthy = 1

Is it possible to include all these predictors? should I use blocks? im a bit confused

Can you help me please?

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    $\begingroup$ part of this answer will depend on how much data you actually have, but in principle yes you can fit nine 2 level factors to a binary response. As for "blocks", do you mean random effects? If you only have two levels for these predictors I would suggest not using them as random effetcs. $\endgroup$ – user1320502 Apr 7 '14 at 16:11
  • $\begingroup$ also lol @ dry cow $\endgroup$ – user1320502 Apr 7 '14 at 16:30

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