The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy
Open accessAbstract
This is a review of bootstrap methods, concentrating on basic ideas and applications rather than theoretical considerations. It begins with an exposition of the bootstrap estimate of standard error for one-sample situations. Several examples, some involving quite complicated statistical procedures, are given. The bootstrap is then extended to other measures of statistical accuracy such as bias and prediction error, and to complicated data structures such as time series, censored data, and regression models. Several more examples are presented illustrating these ideas. The last third of the paper deals mainly with bootstrap confidence intervals.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Nonparametric Estimation from Incomplete Observations
Kaplan, E. L., & Meier, P. (1992) · Springer series in statistics · doi:10.1007/978-1-4612-4380-9_25 · Cited by 45,239
Regression Models and Life-Tables
Cox, D. R. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_37 · Cited by 26,297
Bootstrap methods: another look at the jackknife
Efron, B. (1979) · The Annals of Statistics · doi:10.1214/aos/1176344552 · Cited by 17,602
Self-citationAn Analysis of Transformations
Box, G. E. P., & Cox, D. R. (1964) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1964.tb00553.x · Cited by 15,287
Linear Statistical Inference and its Applications
Rao, C. R. (1973) · Wiley series in probability and statistics · doi:10.1002/9780470316436 · Cited by 10,474
Continuous Univariate Distributions.
Omori, Y., Johnson, N. L., Kotz, S., & Balakrishnan, N. (1995) · Journal of the American Statistical Association · doi:10.2307/2291547 · Cited by 9,085
The Jackknife, the Bootstrap and Other Resampling Plans
Efron, B. (1982) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611970319 · Cited by 8,120
Self-citationLinear Statistical Inference and Its Applications.
Robertson, C., & Rao, C. R. (1975) · Biometrics · doi:10.2307/2529568 · Cited by 3,639
Better Bootstrap Confidence Intervals
Efron, B. (1987) · Journal of the American Statistical Association · doi:10.1080/01621459.1987.10478410 · Cited by 3,462
Self-citationA leisurely look at the bootstrap, the jackknife, and cross-validation
Efron, B., & Gong, G. (1983) · The American Statistician · doi:10.1080/00031305.1983.10483087 · Cited by 3,229
Self-citation
Cited by
Sorted by citations
Items 701–800 of 1,024
Birks, H. J. B. (1993) · Review of Palaeobotany and Palynology · doi:10.1016/0034-6667(93)90045-v · Cited by 103
Structure and Characterization of KSc(BH4)4
Černý, R., Ravnsbæk, D. B., Severa, G., Filinchuk, Y. E., Anna, V. D., Hagemann, H. R., Haase, D., Skibsted, J., Jensen, C. M., & Jensen, T. R. (2010) · The Journal of Physical Chemistry C · doi:10.1021/jp106280v · Cited by 103
Enhanced olfactory sensitivity in autism spectrum conditions
Ashwin, C., Chapman, E., Howells, J., Rhydderch, D., Walker, I. O., & Baron‐Cohen, S. (2014) · Molecular Autism · doi:10.1186/2040-2392-5-53 · Cited by 103
Real-time triggering reveals concurrent lapses of attention and working memory
deBettencourt, M. T., Keene, P. A., Awh, E., & Vogel, E. K. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0606-6 · Cited by 106
Whitfield, J. B., Pang, D., Bucholz, K. K., Madden, P. A. F., Heath, A. C., Statham, D. J., & Martin, N. G. (2000) · Psychological Medicine · doi:10.1017/s0033291799001798 · Cited by 102
Seismic fragilities for reinforced concrete buildings with consideration of irregularities
Rajeev, P., & Tesfamariam, S. (2012) · Structural Safety · doi:10.1016/j.strusafe.2012.06.001 · Cited by 103
Genetic diversity in recent elite faba bean lines using AFLP markers
Zeid, M., Schön, C., & Link, W. (2003) · Theoretical and Applied Genetics · doi:10.1007/s00122-003-1350-9 · Cited by 103
Smedsrud, M. K., Sarvari, S. I., Haugaa, K. H., Gjesdal, O., Ørn, S., Aaberge, L., Smiseth, O. A., & Edvardsen, T. (2012) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2012.06.022 · Cited by 103
A size and age-structured model of the European eel (Anguilla anguilla L.)
Leo, G. A. D., & Gatto, M. (1995) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/f95-131 · Cited by 103
Filippo, A. D., Alessandrini, A., Biondi, F., Blasi, S., Portoghesi, L., & Piovesan, G. (2010) · Annals of Forest Science · doi:10.1051/forest/2010031 · Cited by 103
Smit, A., Jain, S., Rajpurkar, P., Pareek, A., Ng, A. Y., & Lungren, M. P. (2020) · arXiv · doi:10.48550/arxiv.2004.09167 · Cited by 103
Zwier, M., Pratt, A., Adelman, J. L., Kaus, J. W., Zuckerman, D., & Chong, L. (2016) · Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.6b01502 · Cited by 88
Increased likelihood of induced seismicity in highly overpressured shale formations
Eaton, D. W., & Schultz, R. (2018) · Geophysical Journal International · doi:10.1093/gji/ggy167 · Cited by 102
The Application of Artificial Intelligence in Project Management Research: A Review.
Ruiz, J. G., Martínez, J. M., & Crespo, R. A. G. (2021) · International Journal of Interactive Multimedia and Artificial Intelligence · doi:10.9781/ijimai.2020.12.003 · Cited by 136
Explaining the role of the social determinants of health on health inequality in South Africa
Ataguba, J. E.-O., Day, C., & McIntyre, D. (2015) · Global Health Action · doi:10.3402/gha.v8.28865 · Cited by 102
Home Versus Nonhome Neighborhood
Hurvitz, P. M., & Moudon, A. V. (2012) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2011.11.015 · Cited by 102
Characterization of Acoustic Emission Sources in a Rock Salt Specimen under Triaxial Compression
Manthei, G. (2005) · Bulletin of the Seismological Society of America · doi:10.1785/0120040076 · Cited by 102
Klinke, D. J. (2008) · PLoS ONE · doi:10.1371/journal.pone.0001374 · Cited by 107
Hippisley‐Cox, J., Parker, C., Coupland, C. A. C., & Vinogradova, Y. (2007) · Heart · doi:10.1136/hrt.2006.110171 · Cited by 106
Nonparametric Estimation of Relative Risk Using Splines and Cross-Validation
O’Sullivan, F. (1988) · SIAM Journal on Scientific and Statistical Computing · doi:10.1137/0909035 · Cited by 102
Contribution of Aging to the Severity of Different Motor Signs in Parkinson Disease
Levy, G., Louis, E. D., COTE, L. J., Perez, M., Mejia‐Santana, H., Andrews, H., Harris, J. M., Waters, C., Ford, B., Frucht, S. J., et al. (2005) · Archives of Neurology · doi:10.1001/archneur.62.3.467 · Cited by 102
Holder, B. P., & Beauchemin, C. A. A. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-s1-s10 · Cited by 102
Structure-guided simulations illuminate the mechanism of ATP transport through VDAC1
Choudhary, O. P., Paz, A., Adelman, J. L., Colletier, J., Abramson, J., & Grabe, M. (2014) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2841 · Cited by 104
Estimating Forest Elephant Numbers with Dung Counts and a Geographic Information System
Barnes, R. F. W., Beardsley, K., Michelmore, F., Barnes, K. L., Alers, M. P. T., & Blom, A. W. (1997) · Journal of Wildlife Management · doi:10.2307/3802142 · Cited by 101
Tian, Y., Zhu, H., Zhao, D., Liu, C., Feng, X., Liu, T., & Ma, J. (2016) · Journal of Geophysical Research Solid Earth · doi:10.1002/2016jb012959 · Cited by 101
Müller, M. H. B., Polder, A., Brynildsrud, O. B., Karimi, M., Lie, E., Manyilizu, W. B., Mdegela, R., Mokiti, F., Murtadha, M., Nonga, H. E., et al. (2017) · Environmental Research · doi:10.1016/j.envres.2017.01.031 · Cited by 101
Chang, K. C., Dutta, S., Mirams, G. R., Beattie, K. A., Sheng, J., Tran, P. N., Wu, M., Wu, W., Colatsky, T. J., Strauss, D. G., et al. (2017) · Frontiers in Physiology · doi:10.3389/fphys.2017.00917 · Cited by 101
Grady, C. L., & Garrett, D. D. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.031 · Cited by 103
Thalamocortical excitability modulation guides human perception under uncertainty
Kosciessa, J. Q., Lindenberger, U., & Garrett, D. D. (2021) · Nature Communications · doi:10.1038/s41467-021-22511-7 · Cited by 102
A Measure of the Proportion of Treatment Effect Explained by a Surrogate Marker
Wang, Y., & Taylor, J. M. G. (2002) · Biometrics · doi:10.1111/j.0006-341x.2002.00803.x · Cited by 101
Boehm, S. A., Dwertmann, D. J. G., Kunze, F., Michaelis, B., Parks, K. M., & McDonald, D. P. (2014) · Human Resource Management · doi:10.1002/hrm.21589 · Cited by 100
The effect of encoding strategy on the neural correlates of memory for faces
Bernstein, L. J. (2002) · Neuropsychologia · doi:10.1016/s0028-3932(01)00070-7 · Cited by 101
Torriani, F. J., Ribeiro, R. M., Gilbert, T., Schrenk, U. M., Clauson, M., Pacheco, D. M., & Perelson, A. S. (2003) · The Journal of Infectious Diseases · doi:10.1086/379255 · Cited by 101
Postnatal heterochrony of the masticatory apparatus in Cebus apella and Cebus albifrons
Cole, T. M. (1992) · Journal of Human Evolution · doi:10.1016/s0047-2484(05)80003-x · Cited by 101
A Meta‐Analysis on Nitrogen Retention by Buffer Zones
Valkama, E., Usva, K., Saarinen, M., & Uusi‐Kämppä, J. (2018) · Journal of Environmental Quality · doi:10.2134/jeq2018.03.0120 · Cited by 100
Savva, A. D., Mitsis, G. D., & Matsopoulos, G. K. (2019) · Brain and Behavior · doi:10.1002/brb3.1255 · Cited by 110
Susceptibility Prediction of Groundwater Hardness Using Ensemble Machine Learning Models
Mosavi, A., Hosseini, F. S., Choubin, B., Abdolshahnejad, M., Gharechaee, H., Lahijanzadeh, A., & Dineva, A. A. (2020) · Water · doi:10.3390/w12102770 · Cited by 100
Rousselet, G. A., Pernet, C. R., & Wilcox, R. R. (2023) · Meta-Psychology · doi:10.15626/mp.2019.2058 · Cited by 110
Yaromina, A., Zips, D., Thames, H. D., Eicheler, W., Krause, M., Rosner, A., Haase, M., Petersen, C., Raleigh, J. A., Quennet, V., et al. (2006) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2006.08.010 · Cited by 100
Characterizing individual differences in heat-pain sensitivity
Nielsen, C. S., Price, D. D., Vassend, O. M., Stubhaug, A., & Harris, J. R. (2005) · Pain · doi:10.1016/j.pain.2005.09.018 · Cited by 100
Structure of the Sierra Nevada from receiver functions and implications for lithospheric foundering
Frassetto, A. M., Zandt, G., Gilbert, H., Owens, T. J., & Jones, C. H. (2011) · Geosphere · doi:10.1130/ges00570.1 · Cited by 100
Mahani, A. B., Schultz, R., Kao, H., Walker, D., Johnson, J., & Salas, C. (2017) · Bulletin of the Seismological Society of America · doi:10.1785/0120160175 · Cited by 100
Euclidean distance matrix analysis: Confidence intervals for form and growth differences
Lele, S. R., & Richtsmeier, J. T. (1995) · American Journal of Physical Anthropology · doi:10.1002/ajpa.1330980107 · Cited by 98
Review of range-based positioning algorithms
Yan, J., Tiberius, C. C. J. M., Janssen, G. J. M., Teunissen, P. J. G., & Bellusci, G. (2013) · IEEE Aerospace and Electronic Systems Magazine · doi:10.1109/maes.2013.6575420 · Cited by 99
Metric inference for social networks
Banks, D. L., & Carley, K. M. (1994) · Journal of Classification · doi:10.1007/bf01201026 · Cited by 98
Tout, M., Casasnovas, O., Meignan, M. A., Lamy, T., Morschhauser, F., Salles, G., Gyan, E., Haïoun, C., Mercier, M., Feugier, P., et al. (2017) · Blood · doi:10.1182/blood-2016-10-744292 · Cited by 98
Kranzbühler, A., Kleijnen, M. H. P., & Verlegh, P. W. J. (2018) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-018-0594-5 · Cited by 103
Wind energy integration: Variability analysis and power system impact assessment
Ciupăgeanu, D.-A., Lăzăroiu, G., & Barelli, L. (2019) · Energy · doi:10.1016/j.energy.2019.07.136 · Cited by 98
Bayesian system identification via Markov chain Monte Carlo techniques
Ninness, B. M., & Henriksen, S. J. (2009) · Automatica · doi:10.1016/j.automatica.2009.10.015 · Cited by 98
Multistate Model for Travel Time Reliability
Guo, F., Rakha, H. A., & Park, S. (2010) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2188-06 · Cited by 98
Two statistical methods to validate habitat suitability models using presence-only data
Ottaviani, D., Lasinio, G. J., & Boitani, L. (2004) · Ecological Modelling · doi:10.1016/j.ecolmodel.2004.05.016 · Cited by 98
Quantification of Cell Turnover Kinetics Using 5-Bromo-2′-deoxyuridine
Bonhoeffer, S., Mohri, H., Ho, D. D., & Perelson, A. S. (2000) · The Journal of Immunology · doi:10.4049/jimmunol.164.10.5049 · Cited by 96
Honeymoons and Joint Lunches: Effects of Retirement and Spouse's Employment on Depressive Symptoms
Szinovacz, M. E., & Davey, A. (2004) · The Journals of Gerontology Series B · doi:10.1093/geronb/59.5.p233 · Cited by 98
Kilian, R., Matschinger, H., Löeffler, W., Roick, C., & Angermeyer, M. C. (2002) · PubMed · Cited by 98
LIQUID COMPARED WITH CONVENTIONAL CERVICAL CYTOLOGY : A SYSTEMATIC REVIEW AND META-ANALYSIS
Arbyn, M., Bergeron, C., Klinkhamer, P. J. J. M., Martin‐Hirsch, P. L., Siebers, A. G., & Bulten, J. (2008) · Central European Journal of Public Health · Cited by 98
On the drivers and performance outcomes of green practices adoption
Zhang, H., & Yang, F. (2016) · Industrial Management & Data Systems · doi:10.1108/imds-06-2015-0263 · Cited by 99
On Symmetric Bootstrap Confidence Intervals
Hall, P. (1988) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1988.tb01709.x · Cited by 98
Dixon, P. M. (2001) · Encyclopedia of Environmetrics · doi:10.1002/9780470057339.vab028 · Cited by 98
Hespanhol, L., van Mechelen, W., Postuma, E., & Verhagen, E. A. L. M. (2015) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.12541 · Cited by 97
Edwards, M. A., White, H. S., & Ren, H. (2019) · ACS Nano · doi:10.1021/acsnano.9b01015 · Cited by 96
Evidence of hippocampal learning in human infants
Ellis, C. T., Skalaban, L. J., Yates, T. S., Bejjanki, V. R., Córdova, N. I., & Turk‐Browne, N. B. (2021) · Current Biology · doi:10.1016/j.cub.2021.04.072 · Cited by 114
Evaluating chi-squared automatic interaction detection
van Diepen, M., & Franses, P. H. (2005) · Information Systems · doi:10.1016/j.is.2005.03.002 · Cited by 97
Niu, F., Bravo, T. K., Pavlis, G. L., Vernon, F. L., Rendón, H., Bezada, M., & Levander, A. (2007) · Journal of Geophysical Research Atmospheres · doi:10.1029/2006jb004802 · Cited by 97
Fairweather, T. P., van der Lingen, C., Booth, A. J., Drapeau, L., & van der Westhuizen, J. (2006) · African Journal of Marine Science · doi:10.2989/18142320609504215 · Cited by 97
Bootstrapping cointegrating regressions
Chang, Y., Park, J. Y., & Song, K. (2005) · Journal of Econometrics · doi:10.1016/j.jeconom.2005.06.011 · Cited by 96
Li, Y., Reinhardt, J. D., Gosney, J. E., Zhang, X., Hu, X., Chen, S., Ding, M., & Li, J. (2012) · Journal of Rehabilitation Medicine · doi:10.2340/16501977-1005 · Cited by 96
An Introduction to Feature Selection
Kühn, M., & Johnson, K. (2013) · Springer eBooks · doi:10.1007/978-1-4614-6849-3_19 · Cited by 102
Belchior, R. F., & Lyons, R. M. (2021) · International Entrepreneurship and Management Journal · doi:10.1007/s11365-021-00745-7 · Cited by 96
Ge, Y., Jing, Z., Diao, Q., He, J., & Liu, Y. (2021) · mBio · doi:10.1128/mbio.00751-21 · Cited by 94
Cheng, V., Gutstein, A., Wolak, A., Suzuki, Y., Dey, D., Gransar, H., Thomson, L., Hayes, S. W., Friedman, J. D., & Berman, D. S. (2008) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2008.05.006 · Cited by 96
Estimation of sampling variance of molecular marker data using the bootstrap procedure
Tivang, J. G., Nienhuis, J., & Smith, O. S. (1994) · Theoretical and Applied Genetics · doi:10.1007/bf00225151 · Cited by 96
Della‐Maggiore, V., & McIntosh, A. R. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00984.2004 · Cited by 96
Shelton, R. J. (2006) · European Heart Journal · doi:10.1093/eurheartj/ehl233 · Cited by 97
Retirement Transitions and Spouse Disability: Effects on Depressive Symptoms
Szinovacz, M. E., & Davey, A. (2004) · The Journals of Gerontology Series B · doi:10.1093/geronb/59.6.s333 · Cited by 96
Measuring Self-Reported Wrongful Convictions Among Prisoners
Loeffler, C. E., Hyatt, J., & Ridgeway, G. (2019) · Journal of Quantitative Criminology · doi:10.1007/s10940-018-9381-1 · Cited by 95
Taliaz, D., Spinrad, A., Barzilay, R., Barnett-Itzhaki, Z., Averbuch, D., Teltsh, O., Schurr, R., Darki-Morag, S., & Lerer, B. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01488-3 · Cited by 93
Wideband acoustic transfer functions predict middle‐ear effusion
Ellison, J. C., Gorga, M. P., Cohn, E. S., Fitzpatrick, D. F., Sanford, C. A., & Keefe, D. H. (2012) · The Laryngoscope · doi:10.1002/lary.23182 · Cited by 95
Preston, S. H., Stokes, A., Mehta, N. K., & Cao, B. (2013) · Demography · doi:10.1007/s13524-013-0246-9 · Cited by 96
Seismic velocity reduction and accelerated recovery due to earthquakes on the Longmenshan fault
Pei, S., Niu, F., Ben‐Zion, Y., Sun, Q., Liu, Y., Xue, X., Su, J., & Shao, Z. (2019) · Nature Geoscience · doi:10.1038/s41561-019-0347-1 · Cited by 95
Behavioural relevance of spontaneous, transient brain network interactions in fMRI
Vidaurre, D., Llera, A., Smith, S. M., & Woolrich, M. W. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2020.117713 · Cited by 101
Merhav, M., Karni, A., & Gilboa, A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.027 · Cited by 99
Effects of halving pesticide use on wheat production
Hossard, L., Philibert, A., Bertrand, M., Colnenne-David, C., Debaeke, P., Munier-Jolain, N., Jeuffroy, M., Richard, G., & Makowski, D. (2014) · Scientific Reports · doi:10.1038/srep04405 · Cited by 96
Secular change in Archaean crust formation recorded in Western Australia
Yuan, H. (2015) · Nature Geoscience · doi:10.1038/ngeo2521 · Cited by 93
Zeighami, Y., Fereshtehnejad, S., Dadar, M., Collins, D. L., Postuma, R. B., Mišić, B., & Dagher, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.050 · Cited by 94
Quantifying Uncertainties in N2O Emission Due to N Fertilizer Application in Cultivated Areas
Philibert, A., Loyce, C., & Makowski, D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050950 · Cited by 94
Madden, P. A. F., Bucholz, K. K., Dinwiddie, S. H., Slutske, W. S., Bierut, L. J., Statham, D. J., Dunne, M. P., Martin, N. G., & Heath, A. C. (1997) · Addiction · doi:10.1111/j.1360-0443.1997.tb02957.x · Cited by 93
Barrett, J., Della‐Maggiore, V., Chouinard, P. A., & Paus, T. (2004) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300411 · Cited by 96
The Coping Process: Cognitive Appraisals of Stress, Coping Strategies, and Coping Effectiveness
Kim, M.-S., & Duda, J. L. (2003) · The Sport Psychologist · doi:10.1123/tsp.17.4.406 · Cited by 94
Laet, C. E. D. H. D., van Hout, B. A., Burger, H., Weel, A. E. A. M., Albert Hofman, D., & Pols, H. A. P. (1999) · Osteoporosis International · doi:10.1007/s001980050196 · Cited by 94
Statistical prediction of the future impairs episodic encoding of the present
Sherman, B. E., & Turk‐Browne, N. B. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2013291117 · Cited by 96
Panigrahi, R. R., Shrivastava, A. K., Qureshi, K. M., Mewada, B. G., Alghamdi, S. Y., Almakayeel, N. M., Almuflih, A. S., & Qureshi, M. N. (2023) · Sustainability · doi:10.3390/su151813743 · Cited by 104
“SCV7: Our firm asks for feedback from stakeholders about the quality of its information.”
BackgroundBootstrap prediction intervals for linear, nonlinear and nonparametric autoregressions
Li, P., & Politis, D. N. (2014) · Journal of Statistical Planning and Inference · doi:10.1016/j.jspi.2014.10.003 · Cited by 93
Preschool children’s use of cues to generic meaning
Cimpian, A., & Markman, E. M. (2007) · Cognition · doi:10.1016/j.cognition.2007.07.008 · Cited by 93
Large‐scale spatial synchrony and cross‐synchrony in acorn production by two California oaks
Koenig, W. D., & Knops, J. M. H. (2013) · Ecology · doi:10.1890/12-0940.1 · Cited by 93
An examination of index‐calibration experiments: counting tigers at macroecological scales
Gopalaswamy, A. M., Delampady, M., Karanth, K. U., Kumar, N. S., & Macdonald, D. W. (2015) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12351 · Cited by 92
Stoner, M. C. D., Pettifor, A. E., Edwards, J. K., Aiello, A. E., Halpern, C. T., Julien, A., Selin, A., Twine, R., Hughes, J. P., Wang, J., et al. (2017) · AIDS · doi:10.1097/qad.0000000000001584 · Cited by 90
Re-imagining fMRI for awake behaving infants
Ellis, C. T., Skalaban, L. J., Yates, T. S., Bejjanki, V. R., Córdova, N. I., & Turk‐Browne, N. B. (2020) · Nature Communications · doi:10.1038/s41467-020-18286-y · Cited by 96
Reliability assessment from degradation data
Crk, V. (2002) · Annual Reliability and Maintainability Symposium (RAMS) · doi:10.1109/rams.2000.816300 · Cited by 92
Coste, J., Bou�e, S., Écosse, E., Lepl�ge, A., & Pouchot, J. (2005) · Quality of Life Research · doi:10.1007/s11136-004-1260-6 · Cited by 91
Prenatal exposure to alcohol and school problems in late childhood: A longitudinal prospective study
Olson, H. C., Sampson, P. D., Barr, H. M., Streissguth, A. P., & Bookstein, F. L. (1992) · Development and Psychopathology · doi:10.1017/s0954579400000821 · Cited by 92
Metadata
- Authors
- Efron, B., & Tibshirani, R.
- ORCID
- Tibshirani, R.
- Venue
- Statistical Science
- Publisher
- Institute of Mathematical Statistics
- Published
- 1986-02-01
- Volume
- 1
- Issue
- 1
- Pages
- 54-75
- ISSN
- 0883-4237 (ISSN-L)
- 2168-8745
- OpenAlex
- W2112688502
- Cited by
- 6,033
- References
- 34
- Citations by year
- 2026: 83 · 2025: 148 · 2024: 208 · 2023: 220 · 2022: 254 · 2021: 330 · 2020: 306 · 2019: 331 · 2018: 289 · 2017: 244 · 2016: 253 · 2015: 234 · 2014: 245 · 2013: 232 · 2012: 228
- FWCI
- 41.99
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Statistical Science (publishedVersion)
- Project Euclid (Cornell University) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- bootstrapping, standard error estimation, confidence intervals, bias estimation, prediction error, time series, censored data, regression models, statistical accuracy
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