Literature DB >> 31501916

[Pitfalls in the statistical world].

C Kiese-Himmel1, S K Plontke2.   

Abstract

Mistakes in the acquisition, evaluation, analysis and reporting of data often occur because there is a lack of awareness of the methodological problem. They can have far-reaching consequences for the reception of results of scientific primary studies and therefore for the clinical practice and healthcare. This article aims at raising awareness for a responsible handling of study data and for avoiding questionable or incorrect practices. It presents some examples of statistical pitfalls in empirical research practice, which increase the probability of false positive results and shows possibilities to avoid such risks.

Keywords:  False positive findings; HARKing; Preregistration; Replicability; p-hacking

Mesh:

Year:  2020        PMID: 31501916     DOI: 10.1007/s00106-019-00750-x

Source DB:  PubMed          Journal:  HNO        ISSN: 0017-6192            Impact factor:   1.284


  16 in total

1.  Missing data: our view of the state of the art.

Authors:  Joseph L Schafer; John W Graham
Journal:  Psychol Methods       Date:  2002-06

2.  Outcomes research analysis of continuous intratympanic glucocorticoid delivery in patients with acute severe to profound hearing loss: basis for planning randomized controlled trials.

Authors:  Stefan Plontke; Hubert Löwenheim; Serena Preyer; Patrick Leins; Klaus Dietz; Assen Koitschev; Rainer Zimmermann; Hans-Peter Zenner
Journal:  Acta Otolaryngol       Date:  2005-08       Impact factor: 1.494

3.  HARKing: hypothesizing after the results are known.

Authors:  N L Kerr
Journal:  Pers Soc Psychol Rev       Date:  1998

4.  Comparison of pure-tone audiometry analysis in sudden hearing loss studies: lack of agreement for different outcome measures.

Authors:  Stefan K Plontke; Michael Bauer; Christoph Meisner
Journal:  Otol Neurotol       Date:  2007-09       Impact factor: 2.311

5.  An estimate of the science-wise false discovery rate and application to the top medical literature.

Authors:  Leah R Jager; Jeffrey T Leek
Journal:  Biostatistics       Date:  2013-09-25       Impact factor: 5.899

6.  Minimal Reporting Standards for Active Middle Ear Hearing Implants.

Authors:  Hannes Maier; Uwe Baumann; Wolf-Dieter Baumgartner; Dirk Beutner; Marco D Caversaccio; Thomas Keintzel; Martin Kompis; Thomas Lenarz; Astrid Magele; Torsten Mewes; Alexander Müller; Tobias Rader; Torsten Rahne; Sebastian P Schraven; Burkard Schwab; Georg Mathias Sprinzl; Bernd Strauchmann; Ingo Todt; Thomas Wesarg; Barbara Wollenberg; Stefan K Plontke
Journal:  Audiol Neurootol       Date:  2018-09-07       Impact factor: 1.854

7.  Comment on "Estimating the reproducibility of psychological science".

Authors:  Daniel T Gilbert; Gary King; Stephen Pettigrew; Timothy D Wilson
Journal:  Science       Date:  2016-03-04       Impact factor: 47.728

8.  Multiple significance tests: the Bonferroni method.

Authors:  J M Bland; D G Altman
Journal:  BMJ       Date:  1995-01-21

9.  [Speech audiometric outcome parameters in clinical trials on hearing improvement].

Authors:  J Müller; S K Plontke; T Rahne
Journal:  HNO       Date:  2017-03       Impact factor: 1.284

10.  PSYCHOLOGY. Estimating the reproducibility of psychological science.

Authors: 
Journal:  Science       Date:  2015-08-28       Impact factor: 47.728

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