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I have 4 sets of 50 year data (one value per year for each of the 4 different categories)- and would like to test for differences in the slopes of the lines. I think ANCOVA is appropriate- though maybe not as these are time series data? And ...how to do post hoc pairwise comparisons?

The data are estimates of parasite production for each year under 4 different climate scenarios ranging from hot and dry to cold and wet (parasite production is directly dependent on temperature).

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  • $\begingroup$ So are your data counts then? $\endgroup$ – gung Jan 28 '13 at 22:58
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You are presuming the model form i.e. 1 slope ; no level shift ; no arima structure ; no outliers; no parameter changes over time ; no varaince changes over time. Simply form a robust ARIMA model and estimate it globally and then locally (each of the 4 separately). Conduct a Chow Test as described in my answer to How to compare two time series?

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  • $\begingroup$ hmm, thanks! sas even has a proc arima. I'll look into the Chow test, haven't seen that before. $\endgroup$ – user20203 Jan 28 '13 at 22:41

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