Literature DB >> 25134425

Common misconceptions about data analysis and statistics.

Harvey J Motulsky1.   

Abstract

Mesh：

Year:  2014        PMID： 25134425      PMCID： PMC4386986          DOI： 10.1111/bph.12884

Source DB:  PubMed          Journal:  Br J Pharmacol        ISSN： 0007-1188            Impact factor:   8.739


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  10 in total

1.  Drug development: Raise standards for preclinical cancer research.

Authors:  C Glenn Begley; Lee M Ellis
Journal:  Nature       Date:  2012-03-28       Impact factor: 49.962

2.  False-positive psychology: undisclosed flexibility in data collection and analysis allows presenting anything as significant.

Authors:  Joseph P Simmons; Leif D Nelson; Uri Simonsohn
Journal:  Psychol Sci       Date:  2011-10-17

3.  HARKing: hypothesizing after the results are known.

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

4.  The difficult and ubiquitous problems of multiplicities.

Authors:  Donald A Berry
Journal:  Pharm Stat       Date:  2007 Jul-Sep       Impact factor: 1.894

Review 5.  Circular analysis in systems neuroscience: the dangers of double dipping.

Authors:  Nikolaus Kriegeskorte; W Kyle Simmons; Patrick S F Bellgowan; Chris I Baker
Journal:  Nat Neurosci       Date:  2009-05       Impact factor: 24.884

Review 6.  The use and misuse of statistical methodologies in pharmacology research.

Authors:  Michael J Marino
Journal:  Biochem Pharmacol       Date:  2013-06-04       Impact factor: 5.858

7.  Believe it or not: how much can we rely on published data on potential drug targets?

Authors:  Florian Prinz; Thomas Schlange; Khusru Asadullah
Journal:  Nat Rev Drug Discov       Date:  2011-08-31       Impact factor: 84.694

8.  Policy: NIH plans to enhance reproducibility.

Authors:  Francis S Collins; Lawrence A Tabak
Journal:  Nature       Date:  2014-01-30       Impact factor: 49.962

Review 9.  Adaptive trial designs: a review of barriers and opportunities.

Authors:  John A Kairalla; Christopher S Coffey; Mitchell A Thomann; Keith E Muller
Journal:  Trials       Date:  2012-08-23       Impact factor: 2.279

10.  Why most published research findings are false.

Authors:  John P A Ioannidis
Journal:  PLoS Med       Date:  2005-08-30       Impact factor: 11.613
  10 in total
  12 in total

1.  Experimental design and analysis and their reporting: new guidance for publication in BJP.

Authors:  Michael J Curtis; Richard A Bond; Domenico Spina; Amrita Ahluwalia; Stephen P A Alexander; Mark A Giembycz; Annette Gilchrist; Daniel Hoyer; Paul A Insel; Angelo A Izzo; Andrew J Lawrence; David J MacEwan; Lawrence D F Moon; Sue Wonnacott; Arthur H Weston; John C McGrath
Journal:  Br J Pharmacol       Date:  2015-07       Impact factor: 8.739

2.  Statistical reporting of clinical pharmacology research.

Authors:  Arne Ring; Robert Schall; Yoon K Loke; Simon Day
Journal:  Br J Clin Pharmacol       Date:  2017-03-21       Impact factor: 4.335

Review 3.  Radiomic Analysis: Study Design, Statistical Analysis, and Other Bias Mitigation Strategies.

Authors:  Chaya S Moskowitz; Mattea L Welch; Michael A Jacobs; Brenda F Kurland; Amber L Simpson
Journal:  Radiology       Date:  2022-05-17       Impact factor: 29.146

4.  Sample size, statistical power, and false conclusions in infant looking-time research.

Authors:  Lisa M Oakes
Journal:  Infancy       Date:  2014-04-05

5.  Common Statistical Mistakes in Descriptive Statistics Reports of Normal and Non-Normal Variables in Biomedical Sciences Research.

Authors:  Farzan Madadizadeh; Mohamad Ezati Asar; Mostafa Hosseini
Journal:  Iran J Public Health       Date:  2015-11       Impact factor: 1.429

6.  Problems in using p-curve analysis and text-mining to detect rate of p-hacking and evidential value.

Authors:  Dorothy V M Bishop; Paul A Thompson
Journal:  PeerJ       Date:  2016-02-18       Impact factor: 2.984

7.  Untangling glycaemia and mortality in critical care.

Authors:  Vincent Uyttendaele; Jennifer L Dickson; Geoffrey M Shaw; Thomas Desaive; J Geoffrey Chase
Journal:  Crit Care       Date:  2017-06-24       Impact factor: 9.097

8.  Field-level clothianidin exposure affects bumblebees but generally not their pathogens.

Authors:  Dimitry Wintermantel; Barbara Locke; Georg K S Andersson; Emilia Semberg; Eva Forsgren; Julia Osterman; Thorsten Rahbek Pedersen; Riccardo Bommarco; Henrik G Smith; Maj Rundlöf; Joachim R de Miranda
Journal:  Nat Commun       Date:  2018-12-21       Impact factor: 14.919

9.  A Double-Blind, Randomized Controlled 12-Week Follow-Up Trial to Evaluate the Efficacy and Safety of Polycan in Combination with Glucosamine for the Treatment of Knee Osteoarthritis.

Authors:  Thi Thanh Thuy Truong; Jong Min Lim; Hyung-Rae Cho; Young Suk Kim; Duc Giang Dao; Quoc Hung Tran; Jae-Suk Choi
Journal:  Evid Based Complement Alternat Med       Date:  2019-06-24       Impact factor: 2.629

10.  3D kernel-density stochastic model for more personalized glycaemic control: development and in-silico validation.

Authors:  Vincent Uyttendaele; Jennifer L Knopp; Shaun Davidson; Thomas Desaive; Balazs Benyo; Geoffrey M Shaw; J Geoffrey Chase
Journal:  Biomed Eng Online       Date:  2019-10-22       Impact factor: 2.819
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