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@ARTICLE{HollandLetz:157627,
author = {T. Holland-Letz$^*$ and A. Kopp-Schneider$^*$},
title = {{D}rawing statistical conclusions from experiments with
multiple quantitative measurements per subject.},
journal = {Radiotherapy and oncology},
volume = {152},
issn = {0167-8140},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {DKFZ-2020-01724},
pages = {30-33},
year = {2020},
note = {2020 Aug 20;152:30-33#EA:C060#LA:C060#},
abstract = {In experiments with multiple quantitative measurements per
subject, for example measurements on multiple lesions per
patient, the additional measurements on the same patient
provide limited additional information. Treating these
measurements as independent observations will produce biased
estimators for standard deviations and confidence intervals,
and increases the risk of false positives in statistical
tests. The problem can be remedied in a simple way by first
taking the average of all observations of each specific
patient, and then doing all further calculations only on the
list of these patient means. A more sophisticated
statistical modeling of the experiment, for example in a
linear mixed model, is only required if i) there is a large
imbalance in the number of observations per patient or ii)
there is a specific interest in actually identifying the
various sources of variation in the experiment.},
cin = {C060},
ddc = {610},
cid = {I:(DE-He78)C060-20160331},
pnm = {313 - Cancer risk factors and prevention (POF3-313)},
pid = {G:(DE-HGF)POF3-313},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:32828840},
doi = {10.1016/j.radonc.2020.08.009},
url = {https://inrepo02.dkfz.de/record/157627},
}