Notes on two sample tests for partially correlated (paired) data. Samawi, H. M. & Vogel, R. J Appl Stat, 0(0):1–9, 0.
Notes on two sample tests for partially correlated (paired) data [link]Paper  abstract   bibtex   
We provide several methods to compare two Gaussian distributed means in the two sample location problems under the assumption of partially dependent observations. Simulation studies indicate that our test procedure is frequently more powerful than other methods depending on the ratio of the unpaired data and the strength and direction of the correlation between the two variables. The tests used in our comparative study are illustrated with an example based on data from a small gynecological study.
@article{sam13not,
    abstract = {{We provide several methods to compare two Gaussian distributed means in the two sample location problems under the assumption of partially dependent observations. Simulation studies indicate that our test procedure is frequently more powerful than other methods depending on the ratio of the unpaired data and the strength and direction of the correlation between the two variables. The tests used in our comparative study are illustrated with an example based on data from a small gynecological study.}},
    author = {Samawi, Hani M. and Vogel, Robert},
    citeulike-article-id = {13265982},
    citeulike-linkout-0 = {http://dx.doi.org/10.1080/02664763.2013.830285},
    citeulike-linkout-1 = {http://www.tandfonline.com/doi/abs/10.1080/02664763.2013.830285},
    
    eprint = {http://www.tandfonline.com/doi/pdf/10.1080/02664763.2013.830285},
    journal = {J Appl Stat},
    keywords = {*import},
    number = {0},
    pages = {1--9},
    posted-at = {2014-07-14 14:10:08},
    priority = {0},
    title = {{Notes on two sample tests for partially correlated (paired) data}},
    url = {http://www.tandfonline.com/doi/abs/10.1080/02664763.2013.830285},
    volume = {0},
    year = {0}
}

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