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The interpretation of interaction in contingency tables
Simpson, E. H. (1951) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1951.tb00088.x · Cited by 2,301
Cited by
Items 201–300 of 346
Coppedge, B. R., Fuhlendorf, S. D., Harrell, W. C., & Engle, D. M. (2008) · Biological Conservation · doi:10.1016/j.biocon.2008.02.015 · Cited by 176
Ostro, B. D., Hurley, S., & Lipsett, M. J. (1999) · Environmental Research · doi:10.1006/enrs.1999.3978 · Cited by 169
Enscore, R. E., Biggerstaff, B. J., Brown, T. L., Fulgham, R. E., Reynolds, P. J., Engelthaler, D. M., Levy, C. E., Parmenter, R. R., Montenieri, J. A., Cheek, J. E., et al. (2002) · The American journal of tropical medicine and hygiene · doi:10.4269/ajtmh.2002.66.186 · Cited by 166
A multicenter trial of bupropion for cocaine dependence in methadone-maintained patients
Margolin, A., Kosten, T. R., Avants, S. K., Wilkins, J., Ling, W., Beckson, M., Arndt, I. O., Cornish, J., Ascher, J. A., Li, S.-H., et al. (1995) · Drug and Alcohol Dependence · doi:10.1016/0376-8716(95)01198-6 · Cited by 168
Recent Trends in Lung Cancer Mortality in the United States
Jemal, A., Chu, K. C., & Tarone, R. E. (2001) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/93.4.277 · Cited by 167
HABITAT SELECTION BY MULE DEER: FORAGE BENEFITS OR RISK OF PREDATION?
PIERCE, B. M., BOWYER, R. T., & BLEICH, V. C. (2004) · Journal of Wildlife Management · doi:10.2193/0022-541x(2004)068[0533:hsbmdf]2.0.co;2 · Cited by 166
Meta‐analysis for 2 × 2 tables: A bayesian approach
Carlin, J. B. (1992) · Statistics in Medicine · doi:10.1002/sim.4780110202 · Cited by 164
Computer Decision Support as a Source of Interpretation Error: The Case of Electrocardiograms
Tsai, T. L., Fridsma, D. B., & Gatti, G. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1279 · Cited by 161
Effect of pravastatin in people with diabetes and chronic kidney disease
Tonelli, M., Keech, A., Shepherd, J., Sacks, F., Tonkin, A., Packard, C., Pfeffer, M., Simes, J., Isles, C., Furberg, C., et al. (2005) · Journal of the American Society of Nephrology · doi:10.1681/asn.2005070779 · Cited by 159
Inbreeding depression and male fitness in black grouse
Höglund, J., Piertney, S. B., Alatalo, R. V., Lindell, J., Lundberg, A., & Rintamäki, P. T. (2002) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.2001.1937 · Cited by 164
Van Reenen, C. G., O'Connell, N. E., Van der Werf, J. T. N., Korte, S. M., Hopster, H., Jones, R. B., & Blokhuis, H. J. (2005) · Physiology & Behavior · doi:10.1016/j.physbeh.2005.06.015 · Cited by 163
Behavioral Research Methods in Human-Computer Interaction
Landauer, T. K. (1997) · Handbook of Human-Computer Interaction · doi:10.1016/b978-044481862-1.50075-3 · Cited by 162
Predicting reptile distributions at the mesoscale: relation to climate and topography
Guisan, A., & Hofer, U. (2003) · Journal of Biogeography · doi:10.1046/j.1365-2699.2003.00914.x · Cited by 162
Donta, S. T., Clauw, D. J., Engel, C. C., Guarino, P., Peduzzi, P., Williams, D. A., Skinner, J. S., Barkhuizen, A., Taylor, T., Kazis, L. E., et al. (2003) · JAMA · doi:10.1001/jama.289.11.1396 · Cited by 160
van Duin, D., Allore, H. G., Mohanty, S., Ginter, S., Newman, F. K., Belshe, R. B., Medzhitov, R., & Shaw, A. C. (2007) · The Journal of Infectious Diseases · doi:10.1086/516788 · Cited by 159
Dominici, F., Peng, R. D., Zeger, S. L., White, R. H., & Samet, J. M. (2007) · American Journal of Epidemiology · doi:10.1093/aje/kwm222 · Cited by 158
Social regulation of leukocyte homeostasis: the role of glucocorticoid sensitivity
Cole, S. W. (2008) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2008.02.006 · Cited by 156
Robertson, C., Robertson, A. G., Hendry, J. H., Roberts, S. A., Slevin, N. J., Duncan, W. B., MacDougall, R. H., Kerr, G. R., O'Sullivan, B., & Keane, T. J. (1998) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/s0360-3016(97)00716-5 · Cited by 154
Little, M. P., Wakeford, R., Borrego, D., French, B., Zablotska, L. B., Adams, M. J., Allodji, R., de Vathaire, F., Lee, C., Brenner, A. V., et al. (2018) · The Lancet Haematology · doi:10.1016/s2352-3026(18)30092-9 · Cited by 152
The value of vehicle telematics data in insurance risk selection processes
Baecke, P., & Bocca, L. (2017) · Decision Support Systems · doi:10.1016/j.dss.2017.04.009 · Cited by 152
Prediction of understory vegetation cover with airborne lidar in an interior ponderosa pine forest
Wing, B. M., Ritchie, M. W., Boston, K., Cohen, W. B., Gitelman, A., & Olsen, M. J. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2012.06.024 · Cited by 150
Mineault, P. J., Tring, E., Trachtenberg, J. T., & Ringach, D. L. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.0430-16.2016 · Cited by 148
Consistent Estimators in Generalized Linear Mixed Models
Jiang, J. (1998) · Journal of the American Statistical Association · doi:10.1080/01621459.1998.10473724 · Cited by 149
What makes articles highly cited?
Antonakis, J., Bastardoz, N., Liu, Y., & Schriesheim, C. A. (2014) · The Leadership Quarterly · doi:10.1016/j.leaqua.2013.10.014 · Cited by 148
Blumenthal, I., Ragavendran, A., Erdin, S., Klei, L., Sugathan, A., Guide, J. R., Manavalan, P., Zhou, J. Q., Wheeler, V. C., Levin, J. Z., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.05.004 · Cited by 145
EEG functional connectivity is partially predicted by underlying white matter connectivity
Chu, C. J., Tanaka, N., Diaz, J., Edlow, B. L., Wu, O., Hämäläinen, M., Stufflebeam, S., Cash, S. S., & Kramer, M. A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.033 · Cited by 135
Imbalanced Neural Responsivity to Risk and Reward Indicates Stress Vulnerability in Humans
Admon, R., Lubin, G., Rosenblatt, J. D., Stern, O., Kahn, I., Assaf, M., & Hendler, T. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhr369 · Cited by 143
Tests for no treatment effect in randomized clinical trials
GAIL, M. H., TAN, W. Y., & PIANTADOSI, S. (1988) · Biometrika · doi:10.1093/biomet/75.1.57 · Cited by 143
Graduated Driver Licensing and Fatal Crashes Involving 16- to 19-Year-Old Drivers
Masten, S. V., Foss, R. D., & Marshall, S. W. (2011) · JAMA · doi:10.1001/jama.2011.1277 · Cited by 141
Darkner, S., Chen, X., Hansen, J., Pehrson, S., Johannessen, A., Nielsen, J. B., & Svendsen, J. H. (2014) · European Heart Journal · doi:10.1093/eurheartj/ehu354 · Cited by 142
Marsch, L. A., Guarino, H., Acosta, M., Aponte-Melendez, Y., Cleland, C., Grabinski, M., Brady, R., & Edwards, J. (2014) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2013.08.012 · Cited by 139
Association between plasma CC16 levels, the A38G polymorphism, and asthma
LAING, I. A., HERMANS, C., BERNARD, A., BURTON, P. R., GOLDBLATT, J., & LE SOUËF, P. N. (2000) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.161.1.9904073 · Cited by 137
Schwartz, L. M., Woloshin, S., Andrews, A., & Stukel, T. A. (2012) · BMJ · doi:10.1136/bmj.d8164 · Cited by 136
Early-life mental disorders and adult household income in the World Mental Health Surveys
Kawakami, N., Abdulghani, E. A., Alonso, J., Bromet, E. J., Bruffaerts, R., Caldas-de-Almeida, J. M., Chiu, W. T., de Girolamo, G., de Graaf, R., Fayyad, J., et al. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.03.009 · Cited by 134
KODAMA, K., SASAKI, H., & SHIMIZU, Y. (1990) · Japanese Circulation Journal · doi:10.1253/jcj.54.414 · Cited by 135
Seabloom, E. W., & Valk, A. G. (2003) · Wetlands · doi:10.1672/0277-5212(2003)023[0001:pdcaio]2.0.co;2 · Cited by 135
In situ changes of tropical crustose coralline algae along carbon dioxide gradients
Fabricius, K. E., Kluibenschedl, A., Harrington, L., Noonan, S., & De'ath, G. (2015) · Scientific Reports · doi:10.1038/srep09537 · Cited by 123
Marinaccio, A., Montanaro, F., Mastrantonio, M., Uccelli, R., Altavista, P., Nesti, M., Costantini, A. S., & Gorini, G. (2005) · International Journal of Cancer · doi:10.1002/ijc.20820 · Cited by 123
Motor effort alters changes of mind in sensorimotor decision making
Burk, D., Ingram, J. N., Franklin, D. W., Shadlen, M. N., & Wolpert, D. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0092681 · Cited by 117
Rumana, N., Kita, Y., Turin, T. C., Murakami, Y., Sugihara, H., Morita, Y., Tomioka, N., Okayama, A., Nakamura, Y., Abbott, R. D., et al. (2008) · American Journal of Epidemiology · doi:10.1093/aje/kwn064 · Cited by 121
Suicide and Alzheimer’s pathology in the elderly: a case–control study
Rubio, A., Vestner, A. L., Stewart, J. M., Forbes, N. T., Conwell, Y., & Cox, C. (2001) · Biological Psychiatry · doi:10.1016/s0006-3223(00)00952-5 · Cited by 115
Higgins, D., & Madai, V. I. (2020) · Advanced Intelligent Systems · doi:10.1002/aisy.202000052 · Cited by 118
Prevalence of respiratory disorders in veal calves and potential risk factors
Brscic, M., Leruste, H., Heutinck, L. F. M., Bokkers, E. A. M., Wolthuis-Fillerup, M., Stockhofe, N., Gottardo, F., Lensink, B. J., Cozzi, G., & Van Reenen, C. G. (2012) · Journal of Dairy Science · doi:10.3168/jds.2011-4699 · Cited by 114
Global tests for multiple binary outcomes
Lefkopoulou, M., & Ryan, L. (1993) · Biometrics · doi:10.2307/2532240 · Cited by 114
Quantitative Risk Assessment for Developmental Toxicity
Ryan, L. (1992) · Biometrics · doi:10.2307/2532747 · Cited by 113
Modelling the claims process in the presence of covariates
Renshaw, A. E. (1994) · ASTIN Bulletin · doi:10.2143/ast.24.2.2005070 · Cited by 112
¿Odds ratio o razón de proporciones? Su utilización en estudios transversales
Schiaffino, A., Rodríguez, M., Pasarín, M. I., Regidor, E., Borrell, C., & Fernández, E. (2003) · Gaceta Sanitaria · doi:10.1016/s0213-9111(03)71694-x · Cited by 119
Regression models for spatial prediction: their role for biodiversity and conservation
Lehmann, A., Overton, J. M., & Austin, M. P. (2002) · Biodiversity & Conservation · doi:10.1023/a:1021354914494 · Cited by 111
Johansen, S. B., Næs, T., & Hersleth, M. (2011) · Appetite · doi:10.1016/j.appet.2010.11.137 · Cited by 111
Miina, J., Hotanen, J.-P., & Salo, K. (2009) · Silva Fennica · doi:10.14214/sf.181 · Cited by 110
Little, M. P., Rajaraman, P., Curtis, R. E., Devesa, S. S., Inskip, P. D., Check, D. P., & Linet, M. S. (2012) · BMJ · doi:10.1136/bmj.e1147 · Cited by 110
Childhood adversity, gender and depression over the life-course
Wainwright, N. W. J., & Surtees, P. G. (2002) · Journal of Affective Disorders · doi:10.1016/s0165-0327(01)00420-7 · Cited by 109
Chapman, E. A., Masten, S. V., & Browning, K. K. (2014) · Journal of Safety Research · doi:10.1016/j.jsr.2014.05.005 · Cited by 104
Welty, L. J., & Zeger, S. L. (2005) · American Journal of Epidemiology · doi:10.1093/aje/kwi157 · Cited by 105
Cortical origins of response time variability during rapid discrimination of visual objects
Gerson, A. D., Parra, L. C., & Sajda, P. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.026 · Cited by 103
Gaertner, L., Sedikides, C., Luke, M., O'Mara, E. M., Iuzzini, J., Jackson, L. E., Cai, H., & Wu, Q. (2012) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2012.03.009 · Cited by 104
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Garner, C. (2007) · Genetic Epidemiology · doi:10.1002/gepi.20209 · Cited by 103
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Vincent, T. L., Green, P. J., & Woolfson, D. N. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts648 · Cited by 103
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Speckens, A. E. M., Van Hemert, A. M., Bolk, J. H., Rooijmans, H. G. M., & Hengeveld, M. W. (1996) · Psychological Medicine · doi:10.1017/s0033291700037764 · Cited by 102
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Kimura, D. K., & Somerton, D. A. (2006) · Reviews in Fisheries Science · doi:10.1080/10641260600621761 · Cited by 101
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Parthasarathy, S., Weisner, C., Hu, T. W., & Moore, C. (2001) · Journal of Studies on Alcohol · doi:10.15288/jsa.2001.62.89 · Cited by 100
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O'Hara, R. B. (2009) · Annales Zoologici Fennici · doi:10.5735/086.046.0205 · Cited by 99
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Pervaiz, F., Pervaiz, M., Abdur Rehman, N., & Saif, U. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2102 · Cited by 98
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Shahly, V., Chatterji, S., Gruber, M. J., Al-Hamzawi, A., Alonso, J., Andrade, L. H., Angermeyer, M. C., Bruffaerts, R., Bunting, B., Caldas-de-Almeida, J. M., et al. (2013) · Psychological Medicine · doi:10.1017/s0033291712001468 · Cited by 90
Nicholson, J. A., Naeeni, M., Hoptroff, M., Matheson, J. R., Roberts, A. J., Taylor, D., Sidibe, M., Weir, A. J., Damle, S. G., & Wright, R. L. (2014) · Tropical Medicine & International Health · doi:10.1111/tmi.12254 · Cited by 88
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Diaz, A. A., Tomba, E., Lennarson, R., Richard, R., Bagajewicz, M. J., & Harrison, R. G. (2010) · Biotechnology and Bioengineering · doi:10.1002/bit.22537 · Cited by 90
Becker, E., Forney, K., Ferguson, M., Foley, D., Smith, R., Barlow, J., & Redfern, J. (2010) · Marine Ecology Progress Series · doi:10.3354/meps08696 · Cited by 90
Hurt, R. D., Krook, J. E., Croghan, I. T., Loprinzi, C. L., Sloan, J. A., Novotny, P. J., Kardinal, C. G., Knost, J. A., Tirona, M. T., Addo, F., et al. (2003) · Journal of Clinical Oncology · doi:10.1200/jco.2003.08.160 · Cited by 86
Cluster randomized trials with treatment noncompliance.
Jo, B., Asparouhov, T., Muthén, B. O., Ialongo, N. S., & Brown, C. H. (2008) · Psychological Methods · doi:10.1037/1082-989x.13.1.1 · Cited by 83
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Nurse, M. S., & Grant, W. J. (2020) · Environmental Communication · doi:10.1080/17524032.2019.1618364 · Cited by 83
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Mollicone, D., Kan, K., Mott, C., Bartels, R., Bruneau, S., van Wollen, M., Sparrow, A. R., & Van Dongen, H. P. A. (2019) · Accident Analysis & Prevention · doi:10.1016/j.aap.2018.03.004 · Cited by 85
Knapp, E. E., Valachovic, Y. S., Quarles, S. L., & Johnson, N. G. (2021) · Fire Ecology · doi:10.1186/s42408-021-00117-0 · Cited by 84
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Michalska, K. J., Decety, J., Liu, C., Chen, Q., Martz, M. E., Jacob, S., Hipwell, A. E., Lee, S. S., Chronis-Tuscano, A., Waldman, I. D., et al. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00021 · Cited by 76
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Lourie, N., Le Bras, R., & Choi, Y. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v35i15.17589 · Cited by 73
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Lin, Y.-R., & Margolin, D. (2014) · EPJ Data Science · doi:10.1140/epjds/s13688-014-0031-z · Cited by 72
Marsot, M., Chapuis, J.-L., Gasqui, P., Dozières, A., Masséglia, S., Pisanu, B., Ferquel, E., & Vourc’h, G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055377 · Cited by 71
Statistical concepts of a priori and a posteriori risk classification in insurance
Antonio, K., & Valdez, E. A. (2012) · AStA Advances in Statistical Analysis · doi:10.1007/s10182-011-0152-7 · Cited by 70
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Tippett, M. K., Barnston, A. G., & Robertson, A. W. (2007) · Journal of Climate · doi:10.1175/jcli4108.1 · Cited by 69
Sandberg, G., Stewart, W., Smialek, J., & Troncoso, J. C. (2001) · Neurobiology of Aging · doi:10.1016/s0197-4580(00)00236-0 · Cited by 68
A generalized Dantzig selector with shrinkage tuning
James, G. M., & Radchenko, P. (2009) · Biometrika · doi:10.1093/biomet/asp013 · Cited by 67
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Elgart, S. R., Little, M. P., Chappell, L. J., Milder, C. M., Shavers, M. R., Huff, J. L., & Patel, Z. S. (2018) · Scientific Reports · doi:10.1038/s41598-018-25467-9 · Cited by 66
Examining racial/ethnic differences in patterns of benzodiazepine prescription and misuse
Cook, B., Creedon, T., Wang, Y., Lu, C., Carson, N., Jules, P., Lee, E., & Alegría, M. (2018) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2018.02.011 · Cited by 60
Jacobson, N. C., Chow, S.-M., & Newman, M. G. (2019) · Behavior Research Methods · doi:10.3758/s13428-018-1101-0 · Cited by 63
Savonenko, A. V., Xu, G. M., Price, D. L., Borchelt, D. R., & Markowska, A. L. (2003) · Neurobiology of Disease · doi:10.1016/s0969-9961(02)00012-8 · Cited by 63
Effect of internet use and electronic game-play on academic performance of Australian children
Islam, M. I., Biswas, R. K., & Khanam, R. (2020) · Scientific Reports · doi:10.1038/s41598-020-78916-9 · Cited by 63
Higher Baseline Interleukin-1β and TNF-α Hamper Antidepressant Response in Major Depressive Disorder
Benedetti, F., Poletti, S., Vai, B., Mazza, M. G., Lorenzi, C., Brioschi, S., Aggio, V., Branchi, I., Colombo, C., Furlan, R., et al. (2021) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2020.11.009 · Cited by 62
The exceptionally high life expectancy of Costa Rican nonagenarians
Rosero-Bixby, L. (2008) · Demography · doi:10.1353/dem.0.0011 · Cited by 62
Alonso, J., Vilagut, G., Chatterji, S., Heeringa, S., Schoenbaum, M., Bedirhan Üstün, T., Rojas-Farreras, S., Angermeyer, M., Bromet, E., Bruffaerts, R., et al. (2011) · Psychological Medicine · doi:10.1017/s0033291710001212 · Cited by 61
A simulation-intensive approach for checking hierarchical models
Dey, D. K., Gelfand, A. E., Swartz, T. B., & Vlachos, P. K. (1998) · Test · doi:10.1007/bf02565116 · Cited by 58
A Decision-Support Tool for Renal Mass Classification
Kunapuli, G., Varghese, B. A., Ganapathy, P., Desai, B., Cen, S., Aron, M., Gill, I., & Duddalwar, V. (2018) · Journal of Digital Imaging · doi:10.1007/s10278-018-0100-0 · Cited by 58
Metadata
- Venue
- Statistics for Biology and Health
- Publisher
- Springer New York
- Published
- 2005-11-14
- Pages
- 291-303
- OpenAlex
- W1528905581
- Cited by
- 20,133
- References
- 1
- FWCI
- 1390.31
- Type
- book chapter
- Language
- en
- Open access
- closed
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 ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.