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Statistics and Research Methods for Acute Care and General SurgeonsCommon Pitfalls in Research Design and Its Reporting

Statistics and Research Methods for Acute Care and General Surgeons: Common Pitfalls in Research... [This chapter highlights common methodological and statistical errors which are encountered in articles submitted to Emergency Surgery journals. The two fatal errors are: (1) using invalid tools to measure the outcome variables and (2) testing the wrong population. These errors are fatal meaning that research projects cannot be saved retrospectively. Other common mistakes include: (3) using a poorly formulated unclear research question; (4) lack of planning and clear protocols to follow; (5) ignoring addressing missing data; (6) concentrating on the statistical results and its significance while ignoring its clinical significance, and (7) not understanding the difference between correlation and prediction, and finally (8) inadequate/incomplete reporting of the data.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Statistics and Research Methods for Acute Care and General SurgeonsCommon Pitfalls in Research Design and Its Reporting

Part of the Hot Topics in Acute Care Surgery and Trauma Book Series
Editors: Ceresoli, Marco; Abu-Zidan, Fikri M.; Staudenmayer, Kristan L.; Catena, Fausto; Coccolini, Federico
Abu-Zidan, Fikri M.
Statistics and Research Methods for Acute Care and General Surgeons — Dec 14, 2022
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Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
ISBN
978-3-031-13817-1
Pages
29 –37
DOI
10.1007/978-3-031-13818-8_3
Publisher site
See Chapter on Publisher Site

Abstract

[This chapter highlights common methodological and statistical errors which are encountered in articles submitted to Emergency Surgery journals. The two fatal errors are: (1) using invalid tools to measure the outcome variables and (2) testing the wrong population. These errors are fatal meaning that research projects cannot be saved retrospectively. Other common mistakes include: (3) using a poorly formulated unclear research question; (4) lack of planning and clear protocols to follow; (5) ignoring addressing missing data; (6) concentrating on the statistical results and its significance while ignoring its clinical significance, and (7) not understanding the difference between correlation and prediction, and finally (8) inadequate/incomplete reporting of the data.]

Published: Dec 14, 2022

Keywords: Research design; Statistical analysis; Data reporting; Errors; Pitfalls

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