Multiple binary responses per ID and time
Dear Lize, So the response for individual i at time i is (x_it, n_it). Does the predictor has the same amount of trials as the responses (y_it, n_it)? If so, do you have information on the n_it Bernouilli trials of both the response and the predictor? If that is the case then you can model the individual Bernoulli trials. If you don't have the information at that detail, then you have to turn the binomial predictor into a proportion. With a Bayesian hierarchical model you can first model the predictor and then uses this modelled proportion as a predictor for the response. There is an example in the INLA FAQ: http://www.r-inla.org/faq#TOC-Can-I-have-the-linear-predictor-from-one-model-as-a-covariate-in-a-different-model- Best regards, Thierry ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance Kliniekstraat 25 1070 Anderlecht Belgium To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey 2016-03-21 15:33 GMT+01:00 Lize van der merwe <lizestats at gmail.com>:
Dear List, Please advise. I cannot get my head around modelling this data. Study involves 200 individuals with several (not always the same number) dichotomous outcomes, at 10 different times. The predictor also has several (not the same as each other, nor the same as what the individal has at that time-point) dichotomous outcomes for the same individuals at the the same timepoints. There are time-level covariates and also individual level covariates to include. How do I model these? Not even sure how to lay out the data. Binomial pair (x,n) outcome, for each individual and each time and another binomial pair for the predictor? Regards Lize van der Merwe
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