Hi Nick,
Perhaps this could be formulated as a repeated-measures ANOVA problem with adjustments for serial correlation?
Cardinal, R.N., & Aitken, M.R.F. (2005). ANOVA for the behavioral science researcher. Mahwah, NJ: Erlbaum.
Girden, E.R. (1992). ANOVA Repeated Measures. Publications. Quantitative Applications in the Social Sciences series, no. 84. Thousand Oaks, CA: Sage.
Cam
> Date: Tue, 11 Aug 2009 04:35:50 -0700
> From: [email protected]
> Subject: st: analysis question
> To: [email protected]
>
> Hi to all.
>
> I would like to ask the following question.
>
> We have a set of 3-D images constructed from cat scans, and we are measuring volumes defined by certain anatomical points on the 3-D images.
>
> The reconstruction/measuring technique is performed using 3 new types of software and their results will be compared with the results of validated/reference technique.
>
> The same reconstructions/cat scans are used for all techniques.
>
> The objective is to see how close (do they differ significantly?) the volume values recorded by each technique are to the values recorded by the reference technique.
>
> I was thinking along the lines of regression with the volume(continuous) variable as the dependent variable and technique as the categorical dependent variable with 4 levels. The reference level would be the the standard/validated method.
>
> However, how would I account for the fact that the data is correlated since all measurements for the 4 methods are taken from the same reconstructions/scans?
>
> Any suggestions would be greatly appreciated.
>
> Many thanks,
>
> Nick
>
>
>
>
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