I have samples from left hand and right hand of same individuals (11 patients, 22 measurements) and left (4) and right (2) hand from different individuals (6 patients, 6 measurements). Is it possible to combine all together and check for statistical differences between left and right hand?
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$\begingroup$ This situation is sometimes called (partially) overlapping samples and tests for it are called (partially) overlapping samples tests. e.g. see cran.r-project.org/web/packages/Partiallyoverlapping . The manual has references. (When the within-pair dependence is strong and the paired observations comprise most of the data, the independent observations might not tend to add a lot of information to what you get with the paired data.) ... also see tqmp.org/RegularArticles/vol18-1/p055/p055.pdf ... These should give you further references and suitable search terms. $\endgroup$– Glen_bCommented Aug 15, 2022 at 10:18
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$\begingroup$ thank you so much for your input! just exactly what i was looking for. Is it okay to perform tests without the independent samples? $\endgroup$– Najeha MohamedCommented Aug 15, 2022 at 15:17
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$\begingroup$ thank you so much for your input! just exactly what i was looking for. Is it okay to perform tests without the independent samples? $\endgroup$– Najeha MohamedCommented Aug 15, 2022 at 15:18
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$\begingroup$ 1. It shouldn't lose much efficiency wise if both the conditions I mentioned hold; otherwise I wouldn't do it. 2. There is a question - I should have mentioned it before - of why there were some unpaired values. e.g. If those were missing not at random, you have to carefully consider the biases involved in handling the overlapping samples. $\endgroup$– Glen_bCommented Aug 15, 2022 at 23:20
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