Multiple significance tests: the Bonferroni method

What's wrong with Bonferroni adjustments

Perneger, T. V. (1998) · BMJ · doi:10.1136/bmj.316.7139.1236 · Cited by 5,900

Do multiple outcome measures require p-value adjustment?

Feise, R. J. (2002) · BMC Medical Research Methodology · doi:10.1186/1471-2288-2-8 · Cited by 1,299

Internal construct validity of the Warwick-Edinburgh Mental Well-being Scale (WEMWBS): a Rasch analysis using data from the Scottish Health Education Population Survey

Stewart-Brown, S., Tennant, A., Tennant, R., Platt, S., Parkinson, J., & Weich, S. (2009) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-7-15 · Cited by 1,251

Efficacy and safety of procalcitonin guidance in reducing the duration of antibiotic treatment in critically ill patients: A randomised, controlled, open-label trial.

de Jong, E., van Oers, J. A., Beishuizen, A., Vos, P., Vermeijden, W. J., Haas, L. E., Loef, B. G., Dormans, T., van Melsen, G. C., Kluiters, Y. C., et al. (2016) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(16)00053-0 · Cited by 836

Mutation incidence and coincidence in non small-cell lung cancer: meta-analyses by ethnicity and histology (mutMap)

Dearden, S., Stevens, J., Wu, Y.-L., & Blowers, D. (2013) · Annals of Oncology · doi:10.1093/annonc/mdt205 · Cited by 646

Internal construct validity of the Shirom-Melamed Burnout questionnaire (SMBQ)

Lundgren-Nilsson, Å., Jonsdottir, I. H., Pallant, J., & Ahlborg, G. (2012) · BMC Public Health · doi:10.1186/1471-2458-12-1 · Cited by 626

Mapping DNA methylation across development, genotype and schizophrenia in the human frontal cortex

Jaffe, A. E., Gao, Y., Deep-Soboslay, A., Tao, R., Hyde, T. M., Weinberger, D. R., & Kleinman, J. E. (2016) · Nature Neuroscience · doi:10.1038/nn.4181 · Cited by 511

Development and Validation of Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs

Nam, J. G., Park, S., Hwang, E. J., Lee, J. H., Jin, K.-N., Lim, K. Y., Vu, T. H., Sohn, J. H., Hwang, S., Goo, J. M., et al. (2019) · Radiology · doi:10.1148/radiol.2018180237 · Cited by 539

Closing the gaps in pediatric laboratory reference intervals: a CALIPER database of 40 biochemical markers in a healthy and multiethnic population of children

Colantonio, D. A., Kyriakopoulou, L., Chan, M. K., Daly, C. H., Brinc, D., Venner, A. A., Pasic, M. D., Armbruster, D., & Adeli, K. (2012) · Clinical Chemistry · doi:10.1373/clinchem.2011.177741 · Cited by 479

Amyloid Deposition Begins in the Striatum of Presenilin-1 Mutation Carriers from Two Unrelated Pedigrees

Klunk, W. E., Price, J. C., Mathis, C. A., Tsopelas, N. D., Lopresti, B. J., Ziolko, S. K., Bi, W., Hoge, J. A., Cohen, A. D., Ikonomovic, M. D., et al. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.0730-07.2007 · Cited by 389

Determinants of Disease Presentation and Outcome during Cryptococcosis: The CryptoA/D Study

Dromer, F., Mathoulin-Pélissier, S., Launay, O., Lortholary, O., & the French Cryptococcosis Study Group (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040021 · Cited by 374

What should the genome-wide significance threshold be? Empirical replication of borderline genetic associations

Panagiotou, O. A., Ioannidis, J. P. A., & for the Genome-Wide Significance Project (2012) · International Journal of Epidemiology · doi:10.1093/ije/dyr178 · Cited by 286

Quality of life after laparoscopic colorectal resection for endometriosis

Dubernard, G., Piketty, M., Rouzier, R., Houry, S., Bazot, M., & Darai, E. (2006) · Human Reproduction · doi:10.1093/humrep/dei491 · Cited by 272

Is the Pain Visual Analogue Scale Linear and Responsive to Change? An Exploration Using Rasch Analysis

Kersten, P., White, P. J., & Tennant, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0099485 · Cited by 225

MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction

Menyhart, O., Weltz, B., & Győrffy, B. (2021) · PLOS ONE · doi:10.1371/journal.pone.0245824 · Cited by 216

Polycystic ovary syndrome, androgen excess, and the risk of nonalcoholic fatty liver disease in women: a longitudinal study based on a United Kingdom primary care database

Kumarendran, B., O’Reilly, M. W., Manolopoulos, K. N., Toulis, K. A., Gokhale, K. M., Sitch, A. J., Wijeyaratne, C. N., Coomarasamy, A., Arlt, W., & Nirantharakumar, K. (2018) · PLOS Medicine · doi:10.1371/journal.pmed.1002542 · Cited by 206

Impact of scribes on physician satisfaction, patient satisfaction, and charting efficiency: a randomized controlled trial

Gidwani, R., Nguyen, C., Kofoed, A., Carragee, C., Rydel, T., Nelligan, I., Sattler, A., Mahoney, M., & Lin, S. (2017) · The Annals of Family Medicine · doi:10.1370/afm.2122 · Cited by 202

Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift

Rabanser, S., Günnemann, S., & Lipton, Z. C. (2018) · arXiv · doi:10.48550/arxiv.1810.11953 · Cited by 204

Estimating psychological networks and their accuracy: A tutorial paper

Epskamp, S., Borsboom, D., & Fried, E. I. (2018) · Behavior Research Methods · doi:10.3758/s13428-017-0862-1 · Cited by 5,715

Diet, lung function, and lung function decline in a cohort of 2512 middle aged men

Butland, B. K. (2000) · Thorax · doi:10.1136/thorax.55.2.102 · Cited by 193

Hippocampal FGF-2 and FGFR1 mRNA expression in major depression, schizophrenia and bipolar disorder

Gaughran, F., Payne, J., Sedgwick, P. M., Cotter, D., & Berry, M. (2006) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2006.04.008 · Cited by 178

Beyond “Facebook Addiction”: the role of cognitive-related factors and psychiatric distress in social networking site addiction

Pontes, H. M., Taylor, M., & Stavropoulos, V. (2018) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2017.0609 · Cited by 163

How effective are ‘Effective microorganisms® (EM)’? Results from a field study in temperate climate

Mayer, J., Scheid, S., Widmer, F., Fließbach, A., & Oberholzer, H.-R. (2010) · Applied Soil Ecology · doi:10.1016/j.apsoil.2010.08.007 · Cited by 161

Positive Body Image Is Positively Associated with Hedonic (Emotional) and Eudaimonic (Psychological and Social) Well-Being in British Adults

Swami, V., Weis, L., Barron, D., & Furnham, A. (2018) · The Journal of Social Psychology · doi:10.1080/00224545.2017.1392278 · Cited by 152

Chronic depression is associated with a pronounced decrease in serum brain-derived neurotrophic factor over time

Bus, B. A. A., Molendijk, M. L., Tendolkar, I., Penninx, B. W. J. H., Prickaerts, J., Elzinga, B. M., & Voshaar, R. C. O. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.83 · Cited by 133

Cortical auditory processing and communication in children with autism: electrophysiological/behavioral relations

Bruneau, N., Bonnet-Brilhault, F., Gomot, M., Adrien, J.-L., & Barthélémy, C. (2003) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(03)00149-1 · Cited by 120

Early detection of bovine respiratory disease in young bulls using reticulo-rumen temperature boluses

Timsit, E., Assié, S., Quiniou, R., Seegers, H., & Bareille, N. (2011) · The Veterinary Journal · doi:10.1016/j.tvjl.2010.09.012 · Cited by 120

Construct validity of a revised version of the Occupational Balance Questionnaire

Håkansson, C., Wagman, P., & Hagell, P. (2020) · Scandinavian Journal of Occupational Therapy · doi:10.1080/11038128.2019.1660801 · Cited by 115

Exploring the Role of Social Media Use Motives, Psychological Well-Being, Self-Esteem, and Affect in Problematic Social Media Use

Schivinski, B., Brzozowska-Woś, M., Stansbury, E., Satel, J., Montag, C., & Pontes, H. M. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.617140 · Cited by 103

Automation bias in electronic prescribing

Lyell, D., Magrabi, F., Raban, M. Z., Pont, L. G., Baysari, M. T., Day, R. O., & Coiera, E. (2017) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-017-0425-5 · Cited by 103

How Are Biomarkers Related to Physical and Mental Well-Being?

Seplaki, C. L., Goldman, N., Weinstein, M., & Lin, Y.-H. (2004) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/59.3.b201 · Cited by 104

Proteomic analysis of cytoplasmic and surface proteins from yeast cells, hyphae, and biofilms of Candida albicans

Martínez‐Gomariz, M., Perumal, P., Mekala, S., Nombela, C., Chaffin, W. L., & Gil, C. (2009) · PROTEOMICS · doi:10.1002/pmic.200700594 · Cited by 101

Psychometric Properties of the PsychoSomatic Problems Scale: A Rasch Analysis on Adolescent Data

Hagquist, C. (2008) · Social Indicators Research · doi:10.1007/s11205-007-9186-3 · Cited by 95

A Randomized Controlled Trial of a Tailored Interactive Computer-Delivered Intervention to Promote Colorectal Cancer Screening: Sometimes More is Just the Same

Vernon, S. W., Bartholomew, L. K., McQueen, A., Bettencourt, J. L., Greisinger, A., Coan, S. P., Lairson, D., Chan, W., Hawley, S. T., & Myers, R. E. (2011) · Annals of Behavioral Medicine · doi:10.1007/s12160-010-9258-5 · Cited by 87

The epidemiology of chronic pain in a general population: Results of a survey in southern Sweden

Jakobsson, U. (2010) · Scandinavian Journal of Rheumatology · doi:10.3109/03009741003685616 · Cited by 86

Rasch analysis of an instrument for measuring occupational value: Implications for theory and practice

Eklund, M., Erlandsson, L.-K., Persson, D., & Hagell, P. (2009) · Scandinavian Journal of Occupational Therapy · doi:10.1080/11038120802596253 · Cited by 65

If or when? Uncertainty's role in anxious anticipation

Bennett, K. P., Sinclair, J. V., & Larson, C. L. (2018) · Psychophysiology · doi:10.1111/psyp.13066 · Cited by 58

The relationship between procrastination, perceived stress, saliva alpha-amylase level and parenting styles in Chinese first year medical students

Khalid, A., Zhang, Q., Wang, W., Ghaffari, A. S., & Pan, F. (2019) · Psychology Research and Behavior Management · doi:10.2147/prbm.s207430 · Cited by 67

Political engagement and wellbeing among college students

Ballard, P. J., Ni, X., & Brocato, N. (2020) · Journal of Applied Developmental Psychology · doi:10.1016/j.appdev.2020.101209 · Cited by 61

Neuropsychological investigations in obsessive-compulsive disorder: a systematic review of methodological challenges

Abramovitch, A., Mittelman, A., Tankersley, A. P., Abramowitz, J. S., & Schweiger, A. (2015) · Psychiatry Research · doi:10.1016/j.psychres.2015.04.025 · Cited by 56

Precision Medicine: Familiarity, Perceived Health Drivers, and Genetic Testing Considerations Across Health Literacy Levels in a Diverse Sample

Williams, J. R., Yeh, V. M., Bruce, M. A., Szetela, C., Ukoli, F., Wilkins, C. H., & Kripalani, S. (2019) · Journal of Genetic Counseling · doi:10.1007/s10897-018-0291-z · Cited by 58

Overprescribing of opioids to adults by dentists in the U.S., 2011-2015

Suda, K. J., Zhou, J., Rowan, S. A., McGregor, J. C., Perez, R. I., Evans, C. T., Gellad, W. F., & Calip, G. S. (2020) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2019.11.006 · Cited by 55

Racial/ethnic differences in the influence of cultural values, alcohol resistance self-efficacy, and alcohol expectancies on risk for alcohol initiation.

Shih, R. A., Miles, J. N. V., Tucker, J. S., Zhou, A. J., & D'Amico, E. J. (2012) · Psychology of Addictive Behaviors · doi:10.1037/a0029254 · Cited by 50

Exposure to Toxoplasma gondii Through Consumption of Raw or Undercooked Meat: A Systematic Review and Meta-Analysis

Ducrocq, J., Simon, A., Lemire, M., De Serres, G., & Lévesque, B. (2021) · Vector-Borne and Zoonotic Diseases · doi:10.1089/vbz.2020.2639 · Cited by 50

Determinants of long-term quality of life and voiding function of patients treated with radical prostatectomy or permanent brachytherapy for prostate cancer

Bradley, E. B., Bissonette, E. A., & Theodorescu, D. (2004) · BJU International · doi:10.1111/j.1464-410x.2004.05094.x · Cited by 46

Use of the nutrition care process and nutrition care process terminology in an international cohort reported by an online survey tool

Lövestam, E., Steiber, A., Vivanti, A., Boström, A.-M., Devine, A., Haughey, O., Kiss, C. M., Lang, N. R., Lieffers, J., Lloyd, L., et al. (2019) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2018.09.002 · Cited by 44

MaLAdapt Reveals Novel Targets of Adaptive Introgression From Neanderthals and Denisovans in Worldwide Human Populations

Zhang, X., Kim, B., Singh, A., Sankararaman, S., Durvasula, A., & Lohmueller, K. E. (2023) · Molecular Biology and Evolution · doi:10.1093/molbev/msad001 · Cited by 29

Adherence to self-monitoring of blood glucose in Chinese patients with type 2 diabetes: current status and influential factors based on electronic questionnaires

Wang, X., Luo, J.-F., Qi, L., Long, Q., Guo, J., & Wang, H.-H. (2019) · Patient Preference and Adherence · doi:10.2147/ppa.s211668 · Cited by 37

Gene-carbohydrate and gene-fiber interactions and type 2 diabetes in diverse populations from the National Health and Nutrition Examination Surveys (NHANES) as part of the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) study

Villegas, R., Goodloe, R. J., McClellan, B. E., Boston, J., & Crawford, D. C. (2014) · BMC Genetics · doi:10.1186/1471-2156-15-69 · Cited by 34

Effectiveness of Schema Therapy versus Cognitive Behavioral Therapy versus Supportive Therapy for Depression in Inpatient and Day Clinic Settings: A Randomized Clinical Trial

Kopf-Beck, J., Müller, C. L., Tamm, J., Fietz, J., Rek, N., Just, L., Spock, Z. I., Weweck, K., Takano, K., Rein, M., et al. (2024) · Psychotherapy and Psychosomatics · doi:10.1159/000535492 · Cited by 30

Effects of barbell back squat stance width on sagittal and frontal hip and knee kinetics

Lahti, J., Hegyi, A., Vigotsky, A. D., & Ahtiainen, J. P. (2019) · Scandinavian Journal of Medicine & Science in Sports · doi:10.1111/sms.13305 · Cited by 30

Components of one-carbon metabolism other than folate and colorectal cancer risk

Myte, R., Gylling, B., Schneede, J., Ueland, P. M., Häggström, J., Hultdin, J., Hallmans, G., Johansson, I., Palmqvist, R., & Van Guelpen, B. (2016) · Epidemiology · doi:10.1097/ede.0000000000000529 · Cited by 29

Association of adversity with psychopathology in early childhood: Dimensional and cumulative approaches

Stein, C. R., Sheridan, M. A., Copeland, W. E., Machlin, L. S., Carpenter, K. L. H., & Egger, H. L. (2022) · Depression and Anxiety · doi:10.1002/da.23269 · Cited by 26

Screen or No Screen? Lessons Learnt from a Real-World Deployment Study of Using Voice Assistants With and Without Touchscreen for Older Adults

Chen, C., Lifset, E. T., Han, Y., Roy, A., Hogarth, M., Moore, A. A., Farcas, E., & Weibel, N. (2023) · The 25th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3597638.3608378 · Cited by 25

Meditative practice cultivates mindfulness and reduces anxiety, depression, blood pressure, and heart rate in a diverse sample

Bell, T. P. (2015) · Journal of Cognitive Psychotherapy · doi:10.1891/0889-8391.29.4.343 · Cited by 24

Clinical and functional outcomes of cannabis use among individuals with anxiety disorders: A 3‐year population‐based longitudinal study

Feingold, D., Rehm, J., Factor, H., Redler, A., & Lev‐Ran, S. (2018) · Depression and Anxiety · doi:10.1002/da.22735 · Cited by 24

Measuring activities of daily living in Parkinson’s disease: On a road to nowhere and back again?

Hagell, P. (2019) · Measurement · doi:10.1016/j.measurement.2018.09.050 · Cited by 23

Distress tolerance as a mediator of mindfulness-based intervention for anxiety and depression: Evidence from two randomized controlled trials

Li, Y., He, M., Wang, Z., Hofmann, S. G., & Liu, X. (2024) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2024.100445 · Cited by 22

Strategies for recruiting representative samples of Asian Americans for a population-based case–control study

Wong, C. K., Horn-Ross, P. L., Gee, G. C., Shariff-Marco, S., Quach, T., Allen, L., Bautista, R., La Chica, P. Q., Tseng, W., Chang, P., et al. (2016) · Journal of Epidemiology and Community Health · doi:10.1136/jech-2015-206905 · Cited by 17

Depletion of erythropoietic miR-486-5p and miR-451a improves detectability of rare microRNAs in peripheral blood-derived small RNA sequencing libraries

Juzenas, S., Lindqvist, C. M., Ito, G., Dolshanskaya, Y., Halfvarson, J., Franke, A., & Hemmrich-Stanisak, G. (2020) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqaa008 · Cited by 17

Cognition and behaviour across the menstrual cycle in individuals with premenstrual dysphoric disorder – A systematic review

Henderson, A., Gardani, M., Dyker, G., & Matthews, L. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.11.033 · Cited by 12

Triple network dynamics and future alcohol consumption in adolescents

McIntyre, C. C., Khodaei, M., Lyday, R. G., Weiner, J. L., Laurienti, P. J., & Shappell, H. M. (2025) · Alcohol, Clinical and Experimental Research · doi:10.1111/acer.70043 · Cited by 5

Genome-wide ribonucleotide detection in Archaea

Moalic, Y., Reveil, M., Kundnani, D. L., Balachander, S., Yang, T., Gombolay, A., Ranjbarian, F., Brizard, R., Durand, P., Myllykallio, H., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf1231 · Cited by 2