The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
An improved Bonferroni procedure for multiple tests of significance
Abstract
A modification of the Bonferroni procedure for testing multiple hypotheses is presented. The method, based on the ordered p-values of the individual tests, is less conservative than the classical Bonferroni procedure but is still simple to apply. A simulation study shows that the probability of a type I error of the procedure does not exceed the nominal significance level, α, for a variety of multivariate normal and multivariate gamma test statistics. For independent tests the procedure has type I error probability equal to α. The method appears particularly advantageous over the classical Bonferroni procedure when several highly-correlated test statistics are involved.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“evidence suggesting that MBIs, compared to active controls, were more effective in enhancing state and trait attentional skills [91], executive functioning [92], and emotional clarity [93].”
Citations
Cites
A Simple Sequentially Rejective Multiple Test Procedure
(1979) · Scandinavian Journal of Statistics · doi:10.2307/4615733 · Cited by 21,526
Simultaneous Statistical Inference
Miller, R. G. (1981) · Springer series in statistics · doi:10.1007/978-1-4613-8122-8 · Cited by 5,608
An improved Bonferroni inequality and applications
Worsley, K. J. (1982) · Biometrika · doi:10.1093/biomet/69.2.297 · Cited by 218
On Multivariate Normal Probabilities of Rectangles: Their Dependence on Correlations
Šidák, Z. (1968) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177698122 · Cited by 211
Šidák, Z. (1971) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177693504 · Cited by 105
Cited by
Sorted by citations
Items 901–1,000 of 1,002
Granero, R., Valero-Solís, S., Fernández‐Aranda, F., Gómez‐Peña, M., Moragas, L., Mena-Moreno, T., del Pino‐Gutiérrez, A., Codina, E., Martín‐Romera, V., Casalé-Salayet, G., et al. (2020) · Journal of Behavioral Addictions · doi:10.1556/2006.2020.00008 · Cited by 22
Li, X., Liu, D., Sun, Y., Yang, J., & Yu, Y. (2020) · Saudi Journal of Biological Sciences · doi:10.1016/j.sjbs.2020.11.071 · Cited by 22
Circulating Amino Acids and Risk of Peripheral Artery Disease in the PREDIMED Trial
Razquín, C., Ruiz‐Canela, M., Toledo, E., Clish, C. B., Guasch‐Ferré, M., García-Gavilán, J. F., Wittenbecher, C., Alonso‐Gómez, Á. M., Fitó, M., Liang, L., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms24010270 · Cited by 20
Domínguez‐López, I., Arancibia‐Riveros, C., Marhuenda‐Muñoz, M., Tresserra‐Rimbau, A., Toledo, E., Fitó, M., Ros, E., Estruch, R., & Lamuela-Raventós, R. M. (2023) · Food Research International · doi:10.1016/j.foodres.2023.112499 · Cited by 24
Li, S., Pöysä‐Tarhonen, J., & Häkkinen, P. (2023) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2023.100312 · Cited by 30
Jovel, K. R., Sellare, J., Damm, Y., & Dietz, T. (2023) · Sustainable Development · doi:10.1002/sd.2701 · Cited by 29
Event-related potential signatures of perceived and imagined emotional and food real-life photos
Marmolejo‐Ramos, F., Hellemans, K. G. C., Comeau, A., Heenan, A., Faulkner, A., Abizaid, A. B., & D’Angiulli, A. (2015) · Neuroscience Bulletin · doi:10.1007/s12264-014-1520-6 · Cited by 25
Efird, J. T., & Nielsen, S. S. (2008) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph5050394 · Cited by 22
Cooperative Sensing of Wideband Cognitive Radio: A Multiple-Hypothesis-Testing Approach
Wu, S.-H., Yang, C.-Y., & Huang, D.-H. (2010) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2010.2043967 · Cited by 22
Song, L., Sun, S., Li, B., Pan, Y., Li, W., Zhang, K., & Li, J. (2011) · Journal of Clinical Microbiology · doi:10.1128/jcm.00686-11 · Cited by 22
Panayiotou, G., Witvliet, C. V., Robinson, J. D., & Vrana, S. R. (2011) · Biological Psychology · doi:10.1016/j.biopsycho.2011.03.001 · Cited by 22
Implementation of the Polluter-Pays Principle (PPP) in local transport policy
Jephcote, C., Chen, H., & Ropkins, K. (2016) · Journal of Transport Geography · doi:10.1016/j.jtrangeo.2016.06.017 · Cited by 22
Hochberg procedure under negative dependence
Tamhane, A. C., & Gou, J. (2017) · Statistica Sinica · doi:10.5705/ss.202016.0306 · Cited by 22
A sequential algorithm for false discovery rate control on directed acyclic graphs
Ramdas, A., Chen, J., Wainwright, M. J., & Jordan, M. I. (2018) · Biometrika · doi:10.1093/biomet/asy066 · Cited by 22
Connectal Coding: Discovering the Structures Linking Cognitive Phenotypes to Individual Histories
Vogelstein, J. T., Bridgeford, E., Pedigo, B. D., Chung, J., Levin, K., Mensh, B. D., & Priebe, C. E. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.04.005 · Cited by 25
Primary school reopenings and parental work
Beauregard, P., Connolly, M., Haeck, C., & Molnár, T. L. (2022) · Canadian Journal of Economics/Revue canadienne d économique · doi:10.1111/caje.12566 · Cited by 23
Ch’ng, S., Oates, J., Gao, K., Foo, K., Davies, S. J., Brunner, M., & Clark, J. R. (2013) · Head & Neck · doi:10.1002/hed.23387 · Cited by 22
Testing Independent Component Patterns by Inter-Subject or Inter-Session Consistency
Hyvärinen, A., & Ramkumar, P. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00094 · Cited by 22
Adapting substrate formulas used for shiitake for production of brown Agaricus bisporus
Sánchez, J. E., & Royse, D. J. (2001) · Bioresource Technology · doi:10.1016/s0960-8524(00)00130-9 · Cited by 22
Axer‐Siegel, R., Bourla, D. H., Friling, R., Shalev, B., Sirota, L., Benjamini, Y., Weinberger, D., & Snir, M. (2004) · Ophthalmology · doi:10.1016/j.ophtha.2004.03.024 · Cited by 22
Muscle blood flow during exercise in sedentary and trained hypothyroid rats
McAllister, R. M., Delp, M. D., Thayer, K. A., & Laughlin, M. H. (1995) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.1995.269.6.h1949 · Cited by 22
Implementing Shaffer’s multiple comparison procedure for a large number of groups
Donoghue, J. R. (2004) · Lecture notes-monograph series · doi:10.1214/lnms/1196285622 · Cited by 22
Gamma radiation-induced heritable mutations at repetitive DNA loci in out-bred mice
Somers, C. M., Sharma, R., Quinn, J. S., & Boreham, D. R. (2004) · Mutation research. Fundamental and molecular mechanisms of mutagenesis · doi:10.1016/j.mrfmmm.2004.06.047 · Cited by 22
One-Sided Significance Tests for Generalized Linear Models under Dichotomous Response
Piegorsch, W. W. (1990) · Biometrics · doi:10.2307/2531436 · Cited by 22
Combining p-values via averagingPreprint
Vovk, V., & Wang, R. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1212.4966 · Cited by 22
Correction of the P‐value after multiple coding of an explanatory variable in logistic regression
Liquet, B., & Commenges, D. (2001) · Statistics in Medicine · doi:10.1002/sim.916 · Cited by 22
Lelutiu‐Weinberger, C., Filimon, M. L., Chiaramonte, D. M., Leonard, S. I., Dogaru, B., Pană, E. C., Pruneanu, C., & Pachankis, J. E. (2024) · Behavior Therapy · doi:10.1016/j.beth.2024.10.005 · Cited by 22
Pedigo, A. S., Seaver, W. L., & Odoi, A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0022693 · Cited by 21
Carpenter, J. M., Preoțiuc-Pietro, D., Flek, L., Giorgi, S., Hagan, C. A., Kern, M. L., Buffone, A. E. K., Ungar, L., & Seligman, M. E. P. (2016) · Social Psychological and Personality Science · doi:10.1177/1948550616671998 · Cited by 23
Blohmer, J., Link, T., Reinisch, M., Just, M., Untch, M., Stötzer, O. J., Fasching, P. A., Schneeweiß, A., Wimberger, P., Seiler, S., et al. (2022) · JAMA Oncology · doi:10.1001/jamaoncol.2022.1059 · Cited by 23
Kocks, J. W. H., Wouters, H., Bosnic-Anticevich, S. Z., van Cooten, J., de Sousa, J. C., Cvetkovski, B., Dekhuijzen, R. P. N., Dijk, L., Dvortsin, E., Pardo, M. G., et al. (2022) · npj Primary Care Respiratory Medicine · doi:10.1038/s41533-022-00282-y · Cited by 21
Interpretation of Manhattan Plots and Other Outputs of Genome-Wide Association Studies
Wang, J., Yu, J., Lipka, A. E., & Zhang, Z. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2237-7_5 · Cited by 22
Breitschaft, A., Hu, K., Darstein, C., Ligueros‐Saylan, M., Jordaan, P., Song, D., Hudson, M., & Shah, R. R. (2013) · The Journal of Clinical Pharmacology · doi:10.1002/jcph.213 · Cited by 21
Ramakers, I. H. G. B., Honings, S., Ponds, R., Aalten, P., Köhler, S., Verhey, F. R. J., & Visser, P. J. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-142493 · Cited by 21
Phylogenetic analyses of vector mosquito basic helix‐loop‐helix transcription factors
Zhang, D., Wang, Y., Liu, A.-K., Wang, X.-H., Dang, C., Yao, Q., & Chen, K.-P. (2013) · Insect molecular biology (Print) · doi:10.1111/imb.12049 · Cited by 20
del Corral, A., Dutreix, C., Huntsman-Labed, A., Lorenzo, S., Morganroth, J., Harrell, R. E., & Wang, Y. (2012) · Cancer Chemotherapy and Pharmacology · doi:10.1007/s00280-012-1825-y · Cited by 21
Flexible Analytical Methods for Adding a Treatment Arm Mid-Study to an Ongoing Clinical Trial
Elm, J. J., Palesch, Y. Y., Koch, G. G., Hinson, V. K., Ravina, B. M., & Zhao, W. (2012) · Journal of Biopharmaceutical Statistics · doi:10.1080/10543406.2010.528103 · Cited by 21
Hommel's Bonferroni-Type Inequality for Unequally Spaced Levels
Falk, R. W. (1989) · Biometrika · doi:10.1093/biomet/76.1.189 · Cited by 21
Ermiş, E. B., & Saligrama, V. (2005) · doi:10.5555/1147685.1147713 · Cited by 21
Garcia-Larsen, V., Arthur, R., Potts, J. F., Howarth, P. H., Ahlström, M., Haahtela, T., Loureiro, C., Todo‐Bom, A. M., Brożek, G. M., Makowska, J. S., et al. (2017) · Clinical and Translational Allergy · doi:10.1186/s13601-016-0140-9 · Cited by 21
Khan, A., Ali, A., Junaid, M., Liu, C., Kaushik, A. C., Cho, W. C. S., & Wei, D. (2018) · BMC Systems Biology · doi:10.1186/s12918-018-0563-0 · Cited by 21
Philip, N. I., Leishman, S. J., Bandara, N., & Walsh, L. J. (2019) · Caries Research · doi:10.1159/000499869 · Cited by 21
A multivariate test against spurious long memory
Sibbertsen, P., Leschinski, C., & Busch, M. (2017) · Journal of Econometrics · doi:10.1016/j.jeconom.2017.07.005 · Cited by 21
A new closed multiple testing procedure for hierarchical families of hypotheses
ROM, D. M., & Holland, B. S. (1995) · Journal of Statistical Planning and Inference · doi:10.1016/0378-3758(94)00116-d · Cited by 21
Multiscale spectral analysis for detecting short and long range change points in time series
Olsen, L. R., Chaudhuri, P., & Godtliebsen, F. (2007) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2007.10.027 · Cited by 21
From reads to regions: a Bioconductor workflow to detect differential binding in ChIP-seq data
Lun, A. T. L., & Smyth, G. K. (2015) · F1000Research · doi:10.12688/f1000research.7016.1 · Cited by 21
Tamhane, A. C. (1996) · Handbook of statistics · doi:10.1016/s0169-7161(96)13020-0 · Cited by 21
Nystatin and valinomycin induce tubuloglomerular feedback
Ren, Y., Yu, H., Wang, H., Carretero, O. A., & Garvin, J. L. (2001) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00357.2000 · Cited by 21
PROPERTIES OF MULTIPLE INTERSECTION-UNION TESTS FOR MULTIPLE ENDPOINTS IN COMBINATION THERAPY TRIALS
Westfall, P. H., Ho, S., & Prillaman, B. A. (2001) · Journal of Biopharmaceutical Statistics · doi:10.1081/bip-100107653 · Cited by 21
Global Two-Group Multiple Endpoint Adjustment Methods Applied to Clinical Trials
Sankoh, A. J., Huque, M. F., Russell, H. K., & D’Agostino, R. B. (1999) · Drug Information Journal · doi:10.1177/009286159903300115 · Cited by 21
Wang, B., Sheriff, S., Balasubramaniam, A., & Kennedy, M. A. (2015) · Metabolomics · doi:10.1007/s11306-015-0782-y · Cited by 20
McClelland, R. S., Richardson, B. A., Wanje, G., Graham, S. M., Mutunga, E., Peshu, N. M., Kiarie, J. N., Kurth, A., & Jaoko, W. G. (2011) · Sexually Transmitted Diseases · doi:10.1097/olq.0b013e31820369f6 · Cited by 20
Trial-by-Trial Vividness Self-Reports Versus VVIQ
Runge, M., Bakhilau, V., Omer, F., & D’Angiulli, A. (2015) · Imagination Cognition and Personality · doi:10.1177/0276236615587490 · Cited by 23
Developmental trajectories of gambling severity after cognitive-behavioral therapy
Jiménez‐Múrcia, S., Granero, R., Fernández‐Aranda, F., Aymamí, N., Gómez‐Peña, M., Mestre‐Bach, G., Steward, T., del Pino‐Gutiérrez, A., Mena-Moreno, T., Vintró‐Alcaraz, C., et al. (2019) · European Psychiatry · doi:10.1016/j.eurpsy.2019.04.001 · Cited by 22
DAMEfinder: a method to detect differential allele-specific methylation
Orjuela, S., Machlab, D., Menigatti, M., Marra, G., & Robinson, M. D. (2020) · Epigenetics & Chromatin · doi:10.1186/s13072-020-00346-8 · Cited by 20
Higher education and fertility: Evidence from reforms in Greece
Kountouris, Y. (2020) · Economics of Education Review · doi:10.1016/j.econedurev.2020.102059 · Cited by 21
Testing the Presence of Outliers in Regression Models*
Jiao, X., & Pretis, F. (2022) · Oxford Bulletin of Economics and Statistics · doi:10.1111/obes.12511 · Cited by 20
Castro-Jiménez, J., Aminot, Y., Bely, N., Pollono, C., Idjaton, B. I. T., Bizzozero, L., Pierre-Duplessix, O., Phuong, N. N., & Gaspéri, J. (2024) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2024.116256 · Cited by 20
CRISPR activation screens identify the SWI/SNF ATPases as suppressors of ferroptosis
Bhat, K. P., Vijay, J., Vilas, C. K., Asundi, J., Zou, J., Lau, T., Cai, X. T., Ahmed, M., Kabza, M., Weng, J., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114345 · Cited by 23
Perceived vulnerability to disease and antifat attitudes in a sample of children and teenagers
Magallares, A., Jáuregui‐Lobera, I., Carbonero-Carreño, R., Ruiz-Prieto, I., Bolaños-Ríos, P., & Cano-Escoriaza, A. (2015) · Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity · doi:10.1007/s40519-015-0220-1 · Cited by 20
Molinar‐Toribio, E., Pérez‐Jiménez, J., Ramos‐Romero, S., Lluís, L., Sánchez‐Martos, V., Taltavull, N., Romeu, M., Pazos, M., Méndez, L., Miranda, A., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104637 · Cited by 19
Cortical gamma-oscillations modulated by visuomotor tasks:
Nagasawa, T., Rothermel, R., Juhász, C., Nishida, M., Sood, S., & Asano, E. (2010) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2010.02.015 · Cited by 20
The analysis of multivariate recurrent events with partially missing event types
Chen, B. E., & Cook, R. J. (2008) · Lifetime Data Analysis · doi:10.1007/s10985-008-9091-3 · Cited by 20
Lai, T. L., Liao, O. Y.-W., & Kim, D. W. (2013) · Contemporary Clinical Trials · doi:10.1016/j.cct.2013.08.007 · Cited by 20
Vial, F., Wei, W., & Held, L. (2016) · BMC Veterinary Research · doi:10.1186/s12917-016-0914-2 · Cited by 20
Affognon, H., Mburu, P., Hassan, O. A., King'ori, S. W., Ahlm, C., Sang, R. C., & Evander, M. (2017) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0005405 · Cited by 20
Goudman, L., Brouns, R., Linderoth, B., & Moens, M. (2019) · PLoS ONE · doi:10.1371/journal.pone.0219076 · Cited by 21
Ye, X., Zhang, W., Futamura, Y., & Sakurai, T. (2020) · Cells · doi:10.3390/cells9091938 · Cited by 20
Juraska, M., & Gilbert, P. B. (2013) · Biometrics · doi:10.1111/biom.12016 · Cited by 20
Fung, M. M., Nguyen, C., Mehtani, P., Salem, R. M., Perez, B., Thomas, B., Das, M., Schork, N. J., Mahata, S. K., Ziegler, M. G., et al. (2008) · Circulation · doi:10.1161/circulationaha.107.706317 · Cited by 20
From reads to regions: a Bioconductor workflow to detect differential binding in ChIP-seq data
Lun, A. T. L., & Smyth, G. K. (2016) · F1000Research · doi:10.12688/f1000research.7016.2 · Cited by 20
Tests for Precision and Accuracy of Multiple Measuring Devices
Christensen, R., & Blackwood, L. G. (1993) · Technometrics · doi:10.1080/00401706.1993.10485355 · Cited by 20
Quan, H., Luo, X., & Capizzi, T. (2005) · Statistics in Medicine · doi:10.1002/sim.2101 · Cited by 20
Multiple hypothesis mapping of functional MRI data in orthogonal and complex wavelet domains
Sendur, L., Maxim, V., Whitcher, B. J., & Bullmore, E. T. (2005) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2005.853098 · Cited by 20
Structuring the Genetic Heterogeneity of the Basque Population: A View from Classical Polymorphisms
Manzano, C., de la Rua, C., Iriondo, M., Mazón, L. I., Vicario, A., & Aguirre, A. I. (2002) · Human Biology · doi:10.1353/hub.2002.0008 · Cited by 20
Correcting signal biases and detecting regulatory elements in STARR-seq dataPreprint
Kim, Y., Johnson, G. D., Seo, J., Barrera, A., Cowart, T., Majoros, W. H., Ochoa, A., Allen, A. S., & Reddy, T. E. (2021) · Genome Research · doi:10.1101/gr.269209.120 · Cited by 20
Confidence intervals for ranks of age-adjusted rates across states or counties
Zhang, S., Luo, J., Zhu, L., Stinchcomb, D. G., Campbell, D., Carter, G., Gilkeson, S., & Feuer, E. J. (2014) · Statistics in Medicine · doi:10.1002/sim.6071 · Cited by 21
Simultaneous Statistical Inference in Dynamic Factor Models
Dickhaus, T., & Pauly, M. (2016) · Contributions to statistics · doi:10.1007/978-3-319-28725-6_3 · Cited by 19
The Unusual Case of Sexual Homicide Against Males: Comparisons and Classification
Chopin, J., & Beauregard, É. (2021) · International Journal of Offender Therapy and Comparative Criminology · doi:10.1177/0306624x211049194 · Cited by 19
Sovio, U., Clayton, G., Cook, E., Gaccioli, F., Jones, D. S., Lawlor, D. A., & Smith, G. C. S. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac240 · Cited by 19
On dependence assumption in p-value based multiple test procedures
Gou, J. (2023) · Journal of Biopharmaceutical Statistics · doi:10.1080/10543406.2022.2162066 · Cited by 19
Confidence and Discoveries with E-values
Vovk, V., & Wang, R. (2023) · Statistical Science · doi:10.1214/22-sts874 · Cited by 19
Elbardan, I. M., Shehab, A. S., & Mabrouk, I. M. (2023) · Anaesthesia Critical Care & Pain Medicine · doi:10.1016/j.accpm.2023.101230 · Cited by 19
Andreella, A., Hemerik, J., Finos, L., Weeda, W. D., & Goeman, J. J. (2023) · Statistics in Medicine · doi:10.1002/sim.9725 · Cited by 19
A combined p-value test for multiple hypothesis testing
Zhang, S., Chen, H., & Pfeiffer, R. M. (2012) · Journal of Statistical Planning and Inference · doi:10.1016/j.jspi.2012.10.004 · Cited by 19
Emotional dimensions as determinants of self-focused attention
Panayiotou, G., Brown, R., & Vrana, S. R. (2007) · Cognition & Emotion · doi:10.1080/02699930701319170 · Cited by 19
Luijk, R., Goeman, J. J., Slagboom, P. E., Heijmans, B. T., & van Zwet, E. W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu654 · Cited by 17
Beers, L., Rowland, L. J., & Drummond, F. A. (2019) · Agriculture · doi:10.3390/agriculture9060113 · Cited by 19
VAR2CSA Serology to Detec t Plasmodium falciparum Transmission Patterns in Pregnancy
Fonseca, A. M., González, R., Bardají, A., Jairoce, C., Rupérez, M., Jiménez, A., Quintó, L., Cisteró, P., Valá, A., Sacoor, C. N., et al. (2019) · Emerging infectious diseases · doi:10.3201/eid2510.181177 · Cited by 18
Exploring the interactions between the human and viral genomes
Fellay, J., & Pedergnana, V. (2019) · Human Genetics · doi:10.1007/s00439-019-02089-3 · Cited by 20
Rathore, K., & Wang, H. R. (2013) · Cancer Letters · doi:10.1016/j.canlet.2013.01.030 · Cited by 19
New methods for inferring population dynamics from microbial sequences
Pérez‐Losada, M., Porter, M. L., Tazi, L., & Crandall, K. A. (2006) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2006.03.004 · Cited by 19
Dickhaus, T., & Royen, T. (2015) · Statistics · doi:10.1080/02331888.2014.993639 · Cited by 19
Lokken, E. M., Mandaliya, K. N., Srinivasan, S., Richardson, B. A., Kinuthia, J., Lannon, S., Jaoko, W. G., Alumera, H., Kemoli, A., Fay, E., et al. (2020) · BMJ Open · doi:10.1136/bmjopen-2019-035186 · Cited by 18
Forecast evaluations in meat demand analysis
Wang, Z., & Bessler, D. A. (2003) · Agribusiness · doi:10.1002/agr.10074 · Cited by 19
Goovaerts, P., Meliker, J. R., & Jacquez, G. M. (2007) · International Journal of Health Geographics · doi:10.1186/1476-072x-6-32 · Cited by 19
Pascual, M., Serra, L., & Ayala, F. J. (1998) · Evolution · doi:10.1111/j.1558-5646.1998.tb05162.x · Cited by 19
Houssard, C., & Escarré, J. (1995) · Oecologia · doi:10.1007/bf00333312 · Cited by 19
van der Laan, M. J., Dudoit, S., & Pollard, K. S. (2004) · Collection of Biostatistics Research Archive · Cited by 21
Computing Education Research Today
Fincher, S. A., Tenenberg, J., Dorn, B., Hundhausen, C., McCartney, R., & Murphy, L. (2019) · The Cambridge Handbook of Computing Education Research · doi:10.1017/9781108654555.003 · Cited by 7
Metadata
- Authors
- SIMES, R. J.
- Affiliations
- The University of Sydney (AU)
- Corresponding author
- SIMES, R. J.
- ORCID
- SIMES, R. J.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 1986
- Volume
- 73
- Issue
- 3
- Pages
- 751-754
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W2099107563
- Cited by
- 2,396
- References
- 5
- Citations by year
- 2026: 61 · 2025: 77 · 2024: 92 · 2023: 89 · 2022: 97 · 2021: 93 · 2020: 129 · 2019: 143 · 2018: 98 · 2017: 100 · 2016: 110 · 2015: 98 · 2014: 119 · 2013: 97 · 2012: 89
- FWCI
- 10.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biometrika (publishedVersion)
- Funders
- Medical Research Council
- National Cancer Institute
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- Bonferroni procedure, multiple comparisons, type I error probability
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review