If a few data points are missing, as in this example data set (for example, because of animal dropout), repeated-measures analysis of covariance may fail to detect a treatment effect. We guide readers through the analysis of a real-life data set obtained when testing a therapy for brain injury (stroke) in elderly rats. Here we provide an easy-to-use protocol for the analysis of longitudinal data from animals, and we present a click-by-click guide for performing suitable analyses using the statistical package IBM SPSS Statistics software (SPSS). Modern analytical methods have advantages over conventional methods (particularly when some data are missing), yet they are not used widely by preclinical researchers. ![]() ![]() Testing of therapies for disease or injury often involves the analysis of longitudinal data from animals.
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