# Test for differences between treatment groups over time?

I have two treatments (rodent poisoning quadrats ($n=5$) and non poisoning quadrats ($n=5$)) and for each treatment I survey the number of individually identified invertebrates appearing across time after $6$, $15$, $30$ and $42$ months. My set of data is a number of cumulated new invertebrates appearing for the two treatments across time.I organized the data as a cumulated number of new invertebrates (invertebrates found and identified at T are not take into account at T+1 )between searches.

How can I compare the treatment effects to assess if in rodent poisoning quadrats the number of invertebrates is significantly higher than in non poisoning quadrats (this is the goal to be attained)?Is there a way to know if the rate apparition of new invertebrates is different between treatments?

EDIT: I did a cumulated number of new invertebrates (invertebrates found and identified at T are not take into account at T+1) between searches. Is there a way to know if the rate apparition of new invertebrates is different between treatments?

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I did a little editing here, but I don't fully understand what you are saying: "My set of data is a number of accumulated new invertebrates appearing for the two treatments across time", do you mean that your response variable is the total count of new invertebrates that have occurred between the last measurement & the next? –  gung Aug 18 '12 at 3:22
@KMC If you want to improve your question, use edit and reserve answering for actual answers. –  mbq Aug 18 '12 at 14:34