When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment

Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482

Bayesian Data Analysis

Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · doi:10.1201/9780429258480 · Cited by 27,276

Untitled work

(1988) · Cited by 16,582

Why Most Published Research Findings Are False

Ioannidis, J. P. A. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020124 · Cited by 10,505

The control of the false discovery rate in multiple testing under dependency

Benjamini, Y., & Yekutieli, D. (2001) · The Annals of Statistics · doi:10.1214/aos/1013699998 · Cited by 10,490

Statistical significance for genomewide studies

Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692

Estimating the reproducibility of psychological science

Open Science Collaboration (2015) · Science · doi:10.1126/science.aac4716 · Cited by 8,515 · cited 2×

Statistical Decision Theory and Bayesian Analysis

Berger, J. O. (1985) · Springer Series in Statistics · doi:10.1007/978-1-4757-4286-2 · Cited by 7,722

Power failure: why small sample size undermines the reliability of neuroscience

Button, K. S., Ioannidis, J. P. A., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S. J., & Munafò, M. R. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3475 · Cited by 7,641 · cited 6×

False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant

Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011) · Psychological Science · doi:10.1177/0956797611417632 · Cited by 6,567

Muscle strength and activity in men and women performing maximal effort biceps curl exercise on a new machine that automates eccentric overload and drop setting

Nuzzo, J. L., Pinto, M. D., & Nosaka, K. (2023) · European Journal of Applied Physiology · doi:10.1007/s00421-023-05157-9 · Cited by 14

Null regions: a unified conceptual framework for statistical inference

Smiley, A. H., Glazier, J. J., & Shoda, Y. (2023) · Royal Society Open Science · doi:10.1098/rsos.221328 · Cited by 18

A Guerilla Guide to Common Problems in 'Neurostatistics': Essential Statistical Topics in Neuroscience.

Smith, P. F. (2017) · PubMed Central · Cited by 14

5G New Radio Requires the Best Possible Risk Assessment Studies: Perspective and Recommended Guidelines

Mattsson, M., Simkó, M., & Foster, K. R. (2021) · Frontiers in Communications and Networks · doi:10.3389/frcmn.2021.724772 · Cited by 13

Expression of Tissue Factor and Platelet/Leukocyte Markers on Extracellular Vesicles Reflect Platelet–Leukocyte Interaction in Severe COVID-19

Eichhorn, T., Weiss, R., Huber, S., Ebeyer-Masotta, M., Mostageer, M., Emprechtinger, R., Knabl, L., Knabl, L., Würzner, R., & Weber, V. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242316886 · Cited by 14

An exploration of knowledge‐organizing technologies to advance transdisciplinary back pain research

Lotz, J. C., Ropella, G. E. P., Anderson, P., Yang, Q., Hedderich, M. A., Bailey, J. F., & Hunt, C. A. (2023) · JOR Spine · doi:10.1002/jsp2.1300 · Cited by 13

Generative AI responses are a dime a dozen; Making them count is the challenge – Evaluating information presentation styles in healthcare chatbots using hierarchical Bayesian regression models

Koscelny, S. N., Sadralashrafi, S., & Neyens, D. M. (2025) · Applied Ergonomics · doi:10.1016/j.apergo.2025.104515 · Cited by 15

An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation

Soberanis-Mukul, R. D., Navab, N., & Albarqouni, S. (2020) · The Journal of Machine Learning for Biomedical Imaging · doi:10.59275/j.melba.2020-8e2b · Cited by 13

Predicting the Significance of Necessity

Sorjonen, K., & Melin, B. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00283 · Cited by 13

A Systems Approach to Understanding and Improving Research Integrity

Gorman, D. M., Elkins, A. D., & Lawley, M. (2017) · Science and Engineering Ethics · doi:10.1007/s11948-017-9986-z · Cited by 14

Prediction and inference diverge in biomedicine: Simulations and real-world dataPreprint

Bzdok, D., Engemann, D. A., Grisel, O., Varoquaux, G. P., & Thirion, B. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/327437 · Cited by 12

Strengthening The Organization and Reporting of Microbiome Studies (STORMS): A Reporting Checklist for Human Microbiome ResearchPreprint

Mirzayi, C. A., Renson, A., Zohra, F., Elsafoury, S., Geistlinger, L., Kasselman, L., Eckenrode, K., van de Wijgert, J. H. H. M., Loughman, A., Marques, F. Z., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.24.167353 · Cited by 12

Disparity between statistical significance and clinical importance in published randomised controlled trials: a methodological study

Esterhuizen, T. M., Mbuagbaw, L. C. E., Rehman, N., Yanwou, N., Swaby, D. J., Kittle, E., Licht, J.-C., & Thabane, L. (2025) · BMJ Open · doi:10.1136/bmjopen-2025-100411 · Cited by 12

Recommendations to improve use and reporting of statistics in animal experiments

Rowe, A. (2022) · Laboratory Animals · doi:10.1177/00236772221140669 · Cited by 11

Associations Between Physiological Correlates of Cochlear Synaptopathy and Tinnitus in a Veteran Population

Bramhall, N. F., Theodoroff, S. M., McMillan, G. P., Kampel, S. D., & Buran, B. N. (2023) · Journal of Speech Language and Hearing Research · doi:10.1044/2023_jslhr-23-00234 · Cited by 11

A tool for false positive rate estimation in cognitive impairment research: Handling correlated tests, small samples, and composite criteria

van Rentergem, J. A. A., & Schagen, S. B. (2025) · The Clinical Neuropsychologist · doi:10.1080/13854046.2025.2453079 · Cited by 11

Interpretation of and alternatives to p-values in biomedical sciences

Grjibovski, A. M., & Gvozdeckii, A. N. (2022) · Экология человека · doi:10.17816/humeco97249 · Cited by 11

Providing Evidence for the Null Hypothesis in Functional Magnetic Resonance Imaging Using Group-Level Bayesian Inference

Masharipov, R. S., Knyazeva, I., Nikolaev, Y., Korotkov, A. D., Didur, M., Cherednichenko, D. V., & Kireev, M. V. (2021) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2021.738342 · Cited by 12

Noise Reduction in EEG Signals using Convolutional Autoencoding Techniques

Hanrahan, C. (2019) · Arrow - TU Dublin (Technological University Dublin) · Cited by 11

The lack of international and national health policies to protect persons with self-declared electromagnetic hypersensitivity

Leszczyński, D. (2022) · Reviews on Environmental Health · doi:10.1515/reveh-2022-0108 · Cited by 10

How Do Basic Personality Traits Map Onto Moral Judgments of Fairness-Related Actions?

Andrejević, M., Smillie, L. D., Feuerriegel, D., Turner, W., Laham, S. M., & Bode, S. (2021) · Social Psychological and Personality Science · doi:10.1177/19485506211038295 · Cited by 11

Clinical vs. statistical significance: considerations for clinical laboratories

Hakan, H., Tran, M. T. C., Markus, C., Ho, C. S., Loh, T. P., Zakaria, R., Cooke, B. R., Theodorsson, E., & Greaves, R. F. (2025) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2025-0219 · Cited by 10

The relationship between anger and suicidal ideation: Investigations in two samples

Schafer, K. M., Daurio, A. M., French, J. E., Rogers, M. L., Meltzer, A. L., Cougle, J. R., & Joiner, T. E. (2022) · Journal of Clinical Psychology · doi:10.1002/jclp.23331 · Cited by 9

Apéritif: Scaffolding Preregistrations to Automatically Generate Analysis Code and Methods Descriptions

Pang, R. Y., Reinecke, K., & Just, R. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517707 · Cited by 10

The Problem of Irreproducible Bioscience Research

Flier, J. S. (2022) · Perspectives in biology and medicine · doi:10.1353/pbm.2022.0032 · Cited by 10

A Numerical Investigation of Rider Injury Risks During Falls Caused by E-Scooter–Stopper Impacts

Chontos, R., Grindle, D. M., Untăroiu, A., Doerzaph, Z. R., & Untaroiu, C. D. (2023) · Journal of Biomechanical Engineering · doi:10.1115/1.4062847 · Cited by 9

Statistical considerations (or recommendations) for publishing in Science and Medicine in Football

Impellizzeri, F. M., Meyer, T., & Wagenpfeil, S. (2019) · Science and Medicine in Football · doi:10.1080/24733938.2018.1563993 · Cited by 9

The Importance of Clinical Relevance and the Limitations of P-Values in Plastic Surgery Research

Karamitros, G., Johnson, J., Gergoudis, F. R., Giannas, E. (., Torres-Guzman, R. A., Lamaris, G. A., & Lineaweaver, W. C. (2026) · Annals of Plastic Surgery · doi:10.1097/sap.0000000000004738 · Cited by 10

Disparity between statistical and clinical significance in published randomised controlled trials indexed in PubMed: a protocol for a cross-sectional methodological survey

Esterhuizen, T. M., Mbuagbaw, L. C. E., & Thabane, L. (2024) · BMJ Open · doi:10.1136/bmjopen-2024-084375 · Cited by 8

A mixed-methods feasibility study protocol to assess the communication behaviours within the dental health professional-parent-child triad in a general dental practice setting

Yuan, S., Humphris, G. M., Ross, A. J., Macpherson, L. M. D., Zhou, Y., & Freeman, R. (2018) · Pilot and Feasibility Studies · doi:10.1186/s40814-018-0331-3 · Cited by 8

NHST is still logically flawed

Schneider, J. (2018) · Scientometrics · doi:10.1007/s11192-018-2655-4 · Cited by 10

Best uses of p -values and complementary measures in medical research: Recent developments in the frequentist and Bayesian frameworks

Quatto, P., Ripamonti, E., & Marasini, D. (2019) · Journal of Biopharmaceutical Statistics · doi:10.1080/10543406.2019.1632874 · Cited by 8

Current and Future Global Challenges in Management and Leadership: Finance and Quantum Computing

Casati, N. M. (2019) · Springer eBooks · doi:10.1007/978-3-030-29710-7_6 · Cited by 7

A field-wide assessment of differential expression profiling by high-throughput sequencing reveals widespread bias

Päll, T., Luidalepp, H., Tenson, T., & Maiväli, Ü. (2023) · PLoS Biology · doi:10.1371/journal.pbio.3002007 · Cited by 8

Generalization of auditory expertise in audio engineers and instrumental musicians

Caprini, F., Zhao, S., Maria Chait, A., Agus, T. R., Pomper, U., Tierney, A. T., & Dick, F. (2023) · Cognition · doi:10.1016/j.cognition.2023.105696 · Cited by 8

Many High-Quality Randomized Controlled Trials in Sports Physical Therapy Are Making False-Positive Claims of Treatment Effect: A Systematic Survey

Bleakley, C., Reijgers, J., & Smoliga, J. M. (2020) · Journal of Orthopaedic and Sports Physical Therapy · doi:10.2519/jospt.2020.9264 · Cited by 7

Statistics education in undergraduate psychology: A survey of UK curriculaPreprint

TARG Meta-Research Group (2020) · doi:10.31234/osf.io/jv8x3 · Cited by 7

A Practical Guide to Bayesian Statistics in Laboratory Medicine

Wilkes, E. H. (2022) · Clinical Chemistry · doi:10.1093/clinchem/hvac049 · Cited by 7

Bayesian stopping

Douven, I. (2023) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2023.102794 · Cited by 7

After p Values: The New Statistics for Undergraduate Neuroscience Education.

Calin-Jageman, R. J. (2017) · PubMed Central · Cited by 6

Decisions with Confidence: Application to the Conformation Sampling of Molecules in the Solid State

Hawkins, P. C. D., & Wlodek, S. T. (2020) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.0c00358 · Cited by 6

Retrospective Bayesian Evidence of Null Effect in Two Decades of Alzheimer’s Disease Clinical Trials

Costa, T., Manuello, J., Cauda, F., & Liloia, D. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220942 · Cited by 6

Effects of the Connections program on return‐to‐custody, mortality and treatment uptake among people with a history of opioid use: Retrospective cohort study in an Australian prison system

Sullivan, E. A., Zeki, R., Ward, S., Sherwood, J., Rémond, M., Chang, S., Kypri, K., & BROWN, J. J. (2023) · Addiction · doi:10.1111/add.16339 · Cited by 5

Proving a negative? Methodological, statistical, and psychometric flaws in Ullmann et al. (2017) PTSD study

Boyle, G. J. (2018) · Journal of Clinical and Translational Research · doi:10.18053/jctres.03.2017s2.005 · Cited by 6

Cognitive function in association with high estradiol levels resulting from fertility treatment

Leeners, B., Krüger, T. H. C., Geraedts, K., Tronci, E., Mancini, T., Ille, F., Egli, M., Röblitz, S., Wunder, D. M., Saleh, L., et al. (2021) · Hormones and Behavior · doi:10.1016/j.yhbeh.2021.104951 · Cited by 7

The Use and Misuse of Classical Statistics: A Primer for Social Workers

Dunleavy, D. J., & Lacasse, J. R. (2021) · Research on Social Work Practice · doi:10.1177/10497315211008247 · Cited by 6

A Formal Framework for Knowledge Acquisition: Going beyond Machine Learning

Hössjer, O., Pachón, D. A. D., & Rao, J. S. (2022) · Entropy · doi:10.3390/e24101469 · Cited by 8

The future of neuropsychology is digital, theory-driven, and Bayesian: a paradigmatic study of cognitive flexibility

Schmerwitz, C., & Kopp, B. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1437192 · Cited by 5

How can we improve statistical training in archaeological science?

Vaiglova, P. (2025) · Journal of Archaeological Science · doi:10.1016/j.jas.2025.106220 · Cited by 8

What is the threshold for a clinical minimally important drug effect?

Hengartner, M. P. (2018) · BMJ Evidence-Based Medicine · doi:10.1136/bmjebm-2018-111056 · Cited by 5

Aggregate context effects in music processing

Schmuckler, M. A., Vuvan, D. T., & Lewandowska, O. P. (2020) · Attention Perception & Psychophysics · doi:10.3758/s13414-020-02003-4 · Cited by 5

Beyond statistical significance: nuanced interpretations of statistically nonsignificant results were rare in Cochrane reviews – a metaepidemiological study

Gartlehner, G., Persad, E., Ledinger, D., Chapman, A. L., Gadinger, A., Feyertag, J., & Emprechtinger, R. (2023) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2023.06.007 · Cited by 5

Do I focus on the process of cycling or try to put my mind elsewhere? A comparison of concentration strategies for use in pacing by novice riders

Robinson, D. T., Cloak, R., Lahart, I. M., & Lane, A. M. (2018) · Progress in brain research · doi:10.1016/bs.pbr.2018.09.005 · Cited by 5

Effect of fine and gross motor training or motor imagery, delivered via novel or routine modes, on cognitive function

Brandwayn, N., Restrepo, D., Martínez, A. M. M., & Acevedo-Triana, C. A. (2019) · Applied Neuropsychology Adult · doi:10.1080/23279095.2019.1566133 · Cited by 5

Social Simulation Models as Refuting Machines

Mauhé, N., Izquierdo, L. R., & Izquierdo, S. S. (2023) · Journal of Artificial Societies and Social Simulation · doi:10.18564/jasss.5076 · Cited by 5

Editorial Commentary: The Power of Interpretation: Utilizing the P Value as a Spectrum, in Addition to Effect Size, Will Lead to Accurate Presentation of Results

Sabetian, P. W., & Domb, B. G. (2022) · Arthroscopy The Journal of Arthroscopic and Related Surgery · doi:10.1016/j.arthro.2021.10.009 · Cited by 5

Statistics in publishing: the (mis)use of the p -value (Part 2)

Stunt, J. J., Broekstra, D. C., & de Boer, M. R. (2022) · Journal of Hand Surgery (European Volume) · doi:10.1177/17531934221115968 · Cited by 5

Alternative to the statistical mass confusion of testing for “no effect”

Morgan, J. (2025) · The Journal of Cell Biology · doi:10.1083/jcb.202403034 · Cited by 6

Decoding the Narcissistic Brain

Zhou, Z., Huang, C., Robins, E. M., Angus, D. J., Sedikides, C., & Kelley, N. J. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121284 · Cited by 4

SPARC: Statistical Performance Analysis With Relevance Conclusions

Tullos, J. C., Graham, S., Jordan, J. D., & Patel, P. R. (2021) · IEEE Open Journal of the Computer Society · doi:10.1109/ojcs.2021.3060658 · Cited by 4

Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles

Gutzen, R., Grün, S., & Denker, M. (2022) · Biosystems · doi:10.1016/j.biosystems.2022.104813 · Cited by 4

If we accept that poor replication rates are mainstream

Alexander, D. M., & Moors, P. (2018) · Behavioral and Brain Sciences · doi:10.1017/s0140525x18000572 · Cited by 4

We Encourage You to Submit Your Negative or Nonsignificant Results for Publication in the Japanese Journal of Personality

Kato, T. (2018) · The Japanese Journal of Personality · doi:10.2132/personality.27.2.11 · Cited by 6

Neuroscience Needs to Test Both Statistical and Scientific Hypotheses

Alger, B. E. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1134-22.2022 · Cited by 5

A Hitchhiker’s Guide to Working with Large, Open-Source Neuroimaging DatasetsPreprint

Horien, C. L., Noble, S., Greene, A. S., Lee, K., Barron, D. S., Gao, S., O'Connor, D., Salehi, M., Dadashkarimi, J., Shen, X., et al. (2020) · Preprints.org · doi:10.20944/preprints202007.0153.v1 · Cited by 5

To What Are We Inferring? The Widespread Misuse of Inferential Testing in the Most Cited Criminology and Criminal Justice Journals

Blair, J. P., Tanksley, P. T., Spivey, E. D., & Martaindale, M. H. (2025) · American Journal of Criminal Justice · doi:10.1007/s12103-025-09845-4 · Cited by 3

Research Methods

Recker, J. (2021) · Progress in IS · doi:10.1007/978-3-030-85436-2_5 · Cited by 4

Nonlinear Theta-Gamma Coupling between the Anterior Thalamus and Hippocampus Increases as a Function of Running Speed

Qin, Y. F., Sheremet, A., Cooper, T. L., Burke, S. N., & Maurer, A. P. (2023) · eNeuro · doi:10.1523/eneuro.0470-21.2023 · Cited by 3

Servitization and firm performance: a p-curve analysis

Latan, H., Jabbour, A. B. L. D. S., Jabbour, C. J. C., Ali, M., & Filho, M. G. (2024) · Journal of Business and Industrial Marketing · doi:10.1108/jbim-07-2023-0392 · Cited by 3

Improving Replication in Endometrial Omics: Understanding the Influence of the Menstrual Cycle

Chung, J., & Rogers, P. A. W. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26020857 · Cited by 4

Potential effects of lowering the threshold of statistical significance in the field of chronic rhinosinusitis – A meta-research on published randomized controlled trials over last decade

Thakur, P., & Jha, V. (2021) · Brazilian Journal of Otorhinolaryngology · doi:10.1016/j.bjorl.2021.11.004 · Cited by 2

Critical Care Randomized Trials Demonstrate Power Failure: A Low Positive Predictive Value of Findings in the Critical Care Research Field

Nostedt, S., & Joffe, A. R. (2022) · Journal of Intensive Care Medicine · doi:10.1177/08850666221077203 · Cited by 3

Sample Size in Behavioral Research: A Systematic Review of JEAB and JABA from 2009 to 2018

Schrimp, A. J., Griffith, J. D., Potoczak, K., Hatvany, T. C., Norwood, A. E. Q., & Conley, A. A. (2022) · Revista Brasileira de Análise do Comportamento · doi:10.18542/rebac.v18i2.13634 · Cited by 3

Vitality and Application of Effect Size for Quality Research

Dhakal, C. P. (2023) · Journal of the Institute of Agriculture and Animal Science · doi:10.3126/jiaas.v37i1.56976 · Cited by 3

Cohen’s convention, the seriousness of errors, and the body of knowledge in behavioral science

Arslan, A., & Zenker, F. (2024) · Synthese · doi:10.1007/s11229-024-04753-2 · Cited by 3

Artificial neural networks for magnetoencephalography: a review of an emerging field

Dehgan, A., Abdelhedi, H., Hadid, V., Rish, I., & Jerbi, K. (2025) · Journal of Neural Engineering · doi:10.1088/1741-2552/addd4a · Cited by 7

Bayes factor benefits for clinical psychology: review of child and adolescent evidence base

Bertelsen, T. B., Hoffart, A., Rekdal, S. S., & Zahl‐Olsen, R. (2022) · F1000Research · doi:10.12688/f1000research.76842.2 · Cited by 3

Működési zavarok és megújulási törekvések a tudományos pszichológiában, a 21. század elején

Szokolszky, Á. (2018) · Magyar Pszichológiai Szemle · doi:10.1556/0016.2018.73.4.3 · Cited by 3

Assessing background particulate contamination in an historic building – surface lead loading and contamination

Spicer, R. C. (2020) · Journal of the Air & Waste Management Association · doi:10.1080/10962247.2020.1768966 · Cited by 3

Number of participants required for common designs in psychology: A power analysisPreprint

Brysbaert, M. (2018) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/2v4yx · Cited by 3

Significance Testing in Natural and Biological Systems: A ReviewPreprint

Kak, S. C. (2021) · doi:10.36227/techrxiv.14599836.v1 · Cited by 3

Embrace Uncertainty

de Koning, J. J., & Noordhof, D. A. (2019) · International Journal of Sports Physiology and Performance · doi:10.1123/ijspp.2019-0419 · Cited by 3

Updated guidelines for the reporting of methods and statistical analyses

Sedgwick, P. M. (2023) · Acta Obstetricia Et Gynecologica Scandinavica · doi:10.1111/aogs.14760 · Cited by 3

Clinical reasoning, medical error, and treatment failure

Putman, H. P. (2025) · Current research in psychiatry · doi:10.46439/psychiatry.5.036 · Cited by 2

Exploratory Statistical Analysis of Precursors to Moderate Earthquakes in Japan

Konishi, T. (2025) · GeoHazards · doi:10.3390/geohazards6040082 · Cited by 2

Untested Assumptions and Tenuous Evidence: A Critique of the Dual-Process Account of Moral Judgment

Quinlan, P. T., & Cohen, D. J. (2025) · Behavioral Sciences · doi:10.3390/bs16010020 · Cited by 4

Bayes’ Theorem in Neurocritical Care: Principles and Practice

Jawa, N. A., & Maslove, D. M. (2023) · Neurocritical Care · doi:10.1007/s12028-022-01665-2 · Cited by 2

How robust are clinical trials in primary and secondary ankle sprain prevention?

Bleakley, C., Wagemans, J., Schurz, A. P., & Smoliga, J. M. (2023) · Physical Therapy in Sport · doi:10.1016/j.ptsp.2023.08.005 · Cited by 2

Le rouge, le noir, et l'inégalité: tax policy and inequality in the European Union

Chen, J. M., Šimurina, N., & Solenički, M. (2024) · Frontiers in Applied Mathematics and Statistics · doi:10.3389/fams.2023.1282975 · Cited by 2

What factors are associated with infant hearing aid use? A parent survey using the Theoretical Domains Framework

Kelly, C., Munro, K. J., Visram, A. S., Jones, L., Chilton, H., & Armitage, C. J. (2024) · International Journal of Audiology · doi:10.1080/14992027.2024.2358428 · Cited by 2

Sequential analysis of variance: Increasing efficiency of hypothesis testing.

Snijder-Steinhilber, M., Schnuerch, M., & Schubert, A. (2024) · Psychological Methods · doi:10.1037/met0000677 · Cited by 2

Trends in null hypothesis significance testing: Still going strong

Emmert‐Streib, F. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e40133 · Cited by 5

A logical framework for data-driven reasoning

Baldi, P., Corsi, E. A., & Hosni, H. (2024) · Logic Journal of IGPL · doi:10.1093/jigpal/jzae113 · Cited by 2

The Null Hypothesis Statistical Testing Paradigm Undermines Knowledge Acquisition in Management Accounting Research: It Needs to Be Abandoned

Lindsay, R. M. (2025) · Advances in management accounting · doi:10.1108/s1474-787120250000037001 · Cited by 3

Why and When Statistics is Required, and How to Simplify Choosing Appropriate Statistical Techniques During Ph.D. Program in India?

Ganesha, H. R., & Aithal, P. S. (2022) · International Journal of Management Technology and Social Sciences · doi:10.47992/ijmts.2581.6012.0236 · Cited by 2

Improving the Assessment of Teaching Effectiveness With the Nonequivalent Dependent Variables Approach

Reynolds, J. J. (2021) · Teaching of Psychology · doi:10.1177/00986283211022390 · Cited by 2

Publication Policies for Replicable Research and the Community-Wide False Discovery Rate

Habiger, J., & Liang, Y. (2021) · The American Statistician · doi:10.1080/00031305.2021.1999857 · Cited by 2

Recommendations for reporting statistical results when comparing proportions

Vrbin, C. M. (2022) · Cytopathology · doi:10.1111/cyt.13083 · Cited by 2

Preferential reporting of significant p-values in radiology journal abstracts

To, M.-S., Lu, L., Tran, M. A., & Chong, C. (2022) · Clinical Radiology · doi:10.1016/j.crad.2022.05.025 · Cited by 2

A strong alcoholic drink does not influence self-assessments of the big five personality traits

Paruzel‐Czachura, M., Sorokowska, A., Bianga, P., Sorokowski, P., & Gosling, S. D. (2022) · Current Psychology · doi:10.1007/s12144-022-04015-9 · Cited by 2

The Controversy over Null Hypothesis Significance Testing Revisited

Balluerka, N., Gómez, J., & Hidalgo, D. (2005) · Methodology · doi:10.1027/1614-1881.1.2.55 · Cited by 78

Better Inference in Neuroscience: Test Less, Estimate More

Calin-Jageman, R. J. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1133-22.2022 · Cited by 6

A mini-literature-review: What have been said about Null Hypothesis Significance Test (NHST)

Xie, G. (2021) · Charles Sturt University Research Output (CRO) · doi:10.13140/rg.2.2.27898.21441

Problems With Null Hypothesis Significance Testing (NHST)

Morgan, G. A., Gliner, J. A., & Harmon, R. J. (2006) · Psychology Press eBooks · doi:10.4324/9781410615770-32 · Cited by 1

Null hypothesis significance testing: a review of an old and continuing controversy

Nickerson, R. S. (2000) · Psychological Methods · doi:10.1037/1082-989x.5.2.241 · Cited by 1,090