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Publikováno v:
von Allmen, Regula S.; Tinner, Christian; Schmidli, Jürg; Tevaearai, Hendrik T.; Dick, Florian (2019). Randomized controlled comparison of cross-sectional survey approaches to optimize follow-up completeness in clinical studies. PLoS ONE, 14(3), e0213822. Public Library of Science 10.1371/journal.pone.0213822
PLoS ONE
PLoS ONE, Vol 14, Iss 3, p e0213822 (2019)
PLoS ONE
PLoS ONE, Vol 14, Iss 3, p e0213822 (2019)
INTRODUCTION In outcome research, incomplete follow-up is a major, yet potentially correctable source of bias. Cross-sectional surveys may theoretically increase completeness of follow-up, but low response rates are reported typically. We investigate