Valentin Amrhein

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All published works
Action Title Year Authors
+ Giving Less Power to Statistical Power 2024 Megan D. Higgs
Valentin Amrhein
+ PDF Chat Discuss practical importance of results based on interval estimates and <i>p</i>-value functions, not only on point estimates and null <i>p</i>-values 2022 Valentin Amrhein
Sander Greenland
+ PDF Chat Rewriting results in the language of compatibility 2022 Valentin Amrhein
Sander Greenland
+ Rewriting results in the language of compatibility 2022 Valentin Amrhein
Sander Greenland
+ Abandoning statistical significance is both sensible and practical 2019 Valentin Amrhein
Andrew Gelman
Sander Greenland
Blakeley B. McShane
+ PDF Chat Inferential Statistics as Descriptive Statistics: There Is No Replication Crisis if We Don’t Expect Replication 2019 Valentin Amrhein
David Trafimow
Sander Greenland
+ Remove, rather than redefine, statistical significance 2017 Valentin Amrhein
Sander Greenland
+ PDF Chat The earth is flat (<i>p</i> &gt; 0.05): significance thresholds and the crisis of unreplicable research 2017 Valentin Amrhein
Fränzi Korner‐Nievergelt
Tobias Roth
+ PDF Chat Identical twins and Bayes' theorem in the 21st century 2015 Valentin Amrhein
Tobias Roth
Fränzi Korner‐Nievergelt
+ Comment on "Bayes' Theorem in the 21st Century" by Bradley Efron 2013 Valentin Amrhein
Tobias Roth
Fränzi Korner‐Nievergelt
+ Comment on "Bayes' Theorem in the 21st Century" by Bradley Efron 2013 Valentin Amrhein
Tobias Roth
Fränzi Korner‐Nievergelt
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations 2016 Sander Greenland
Stephen Senn
Kenneth J. Rothman
John B. Carlin
Charles Poole
Steven N. Goodman
Douglas G. Altman
4
+ The New Statistics 2013 Geoff Cumming
4
+ PDF Chat Inferential Statistics as Descriptive Statistics: There Is No Replication Crisis if We Don’t Expect Replication 2019 Valentin Amrhein
David Trafimow
Sander Greenland
3
+ PDF Chat The ASA Statement on <i>p</i>-Values: Context, Process, and Purpose 2016 Ronald L. Wasserstein
Nicole A. Lazar
3
+ PDF Chat Abandon Statistical Significance 2019 Blakeley B. McShane
David Gal
Andrew Gelman
Christian P. Robert
Jennifer L. Tackett
2
+ PDF Chat Valid <i>P</i>-Values Behave Exactly as They Should: Some Misleading Criticisms of <i>P</i>-Values and Their Resolution With <i>S</i>-Values 2019 Sander Greenland
2
+ Beyond Subjective and Objective in Statistics 2017 Andrew Gelman
Christian Hennig
2
+ The cult of statistical significance: how the standard error costs us jobs, justice, and lives 2008 Stephen T. Ziliak
Deirdre N. McCloskey
2
+ A comment on replication, <i>p</i>‐values and evidence S.N.Goodman, <i>Statistics in Medicine</i> 1992; <b>11</b>:875‐879 2002 Stephen Senn
2
+ The testing of statistical hypotheses in relation to probabilities a priori 1933 Jerzy Neyman
E. S. Pearson
2
+ Bayes' Theorem in the 21st Century 2013 Bradley Efron
2
+ A comment on replication, <i>P</i>‐values and evidence 1992 Steven N. Goodman
2
+ PDF Chat The earth is flat (<i>p</i> &gt; 0.05): significance thresholds and the crisis of unreplicable research 2017 Valentin Amrhein
Fränzi Korner‐Nievergelt
Tobias Roth
2
+ Statistical Inference: A Commentary for the Social and Behavioural Sciences 1986 Michael W. Oakes
2
+ PDF Chat The fallacy of the null-hypothesis significance test. 1960 William W. Rozeboom
2
+ Null misinterpretation in statistical testing and its impact on health risk assessment 2011 Sander Greenland
1
+ On the origins of the .05 level of statistical significance. 1982 Michael Cowles
Caroline Davis
1
+ To <i>P</i> or not to <i>P</i>? 2014 Jarrett J. Barber
Kiona Ogle
1
+ PDF Chat Increasing value and reducing waste in research design, conduct, and analysis 2014 John P. A. Ioannidis
Sander Greenland
Mark A. Hlatky
Muin J. Khoury
Malcolm Macleod
David Moher
Kenneth F. Schulz
Robert Tibshirani
1
+ PDF Chat Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias — An Updated Review 2013 Kerry Dwan
Carrol Gamble
Paula Williamson
Jamie J Kirkham
1
+ PDF Chat P-values in genomics: Apparent precision masks high uncertainty 2014 Laura C. Lazzeroni
Ying LĂź
Ilana Belitskaya‐Lévy
1
+ The Case Against Statistical Significance Testing 1978 Ronald P. Carver
1
+ <i>P</i>Values for Composite Null Models 2000 M. J. Bayarri
James O. Berger
1
+ The earth is round (p &lt; .05): Rejoinder. 1995 Jacob Cohen
1
+ PDF Chat Some Thoughts on Statistical Inference 1962 E. S. Pearson
1
+ Some Difficulties of Interpretation Encountered in the Application of the Chi-Square Test 1938 Joseph Berkson
1
+ PDF Chat Reply to Gelman, Gaudart, Pericchi: More reasons to revise standards for statistical evidence 2014 Valen E. Johnson
1
+ PDF Chat Six Persistent Research Misconceptions 2014 Kenneth J. Rothman
1
+ PDF Chat Article Commentary: On the Persistence of Low Power in Psychological Science 2014 Ivan Vankov
Jeffrey S. Bowers
Marcus R. Munafò
1
+ Even statisticians are not immune to misinterpretations of Null Hypothesis Significance Tests 2003 Marie‐Paule Lecoutre
Jacques Poitevineau
Bruno Lecoutre
1
+ 4. Bayesian data analysis (2nd edn). Andrew Gelman, John B. Carlin, Hal S. Stern and Donald B. Rubin (eds), Chapman &amp; Hall/CRC, Boca Raton, 2003. No. of pages: xxv + 668. Price: $59.95. ISBN 1‐58488‐388‐X 2004 Lawrence Joseph
1
+ On the mathematical foundations of theoretical statistics 1922 Ronald Aylmer Fisher
1
+ PDF Chat The Behavior of the P-Value When the Alternative Hypothesis is True 1997 Hung Hung
Robert T. O’Neill
PĂŠter Bauer
Karl Kohne
1
+ Calibrated Bayes 2006 Roderick J. A. Little
1
+ Two cheers for P-values? 2001 Stephen Senn
1
+ Meta‐research: The art of getting it wrong 2010 John P. A. Ioannidis
1
+ The 5% Solution 2011 Kenneth M. Weiss
1
+ Replication and <i>p</i> Intervals: <i>p</i> Values Predict the Future Only Vaguely, but Confidence Intervals Do Much Better 2008 Geoff Cumming
1
+ The Philosophy of Multiple Comparisons 1991 John W. Tukey
1
+ Asymptotic Distribution of<i>P</i>Values in Composite Null Models 2000 James M. Robins
Aad van der Vaart
ValĂŠrie Ventura
1
+ PDF Chat What is the probability of replicating a statistically significant effect? 2009 Jeff Miller
1
+ Evaluating statistical difference, equivalence, and indeterminacy using inferential confidence intervals: An integrated alternative method of conducting null hypothesis statistical tests. 2001 Warren W. Tryon
1
+ Bias in genetic association studies and impact factor 2009 Marcus R. Munafò
George Stothart
Jonathan Flint
1
+ <i>P</i>Values as Random Variables—Expected<i>P</i>Values 1999 Harold B. Sackrowitz
Ester Samuel‐Cahn
1
+ <i>P</i>-Values are Random Variables 2008 Duncan J. Murdoch
Yu-Ling Tsai
JAMES M. ADCOCK
1
+ PDF Chat Confidence and precision increase with high statistical power 2013 Katherine S. Button
John P. A. Ioannidis
Claire Mokrysz
Brian A. Nosek
Jonathan Flint
Emma Robinson
Marcus R. Munafò
1
+ PDF Chat How confidence intervals become confusion intervals 2013 James McCormack
Ben Vandermeer
G. Michael Allan
1
+ PDF Chat Reproducibility issues in science, is <i>P</i> value really the only answer? 2014 Jean Gaudart
Laetitia Huiart
Paul Milligan
Rodolphe ThiĂŠbaut
Roch Giorgi
1
+ Why the resistance to statistical innovations? Bridging the communication gap. 2013 Donald Sharpe
1
+ Statistical reform in medicine, psychology and ecology 2004 Fiona Fidler
Geoff Cumming
Burgman Mark
Neil Thomason
1