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docs/source/notebooks/multi_cell_geolift.ipynb

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"We've shown two methods that we can use to analyse geo lift data with multiple treated geos. To do this, we used a simulated dataset with seasonality and observation noise.\n",
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"The first method is to aggregate the treated geos and analyze them as a single aggregated geo. This is useful when we expect the effects of the intervention to be similar in each treated region - for example if we depoloyed the same kind and magnitude of intervention in each treated region. This method is also useful when we have a large number of treated geos and we want to reduce the number of models we need to fit and create a single 'story' for the causal effects of the treatment across all treated geos.\n",
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"The first method is to aggregate the treated geos and analyze them as a single aggregated geo. This is useful when we expect the effects of the intervention to be similar in each treated region - for example if we deployed the same kind and magnitude of intervention in each treated region. This method is also useful when we have a large number of treated geos and we want to reduce the number of models we need to fit and create a single 'story' for the causal effects of the treatment across all treated geos.\n",
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"The second method is to analyze each treated geo individually. This is useful when we want to understand the impact of each geo separately. This may make most sense if the treatments were different in kind or magnitude. That is, when we do not expect the effects of the intervention to be similar in each treated region.\n",
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