Generalized Additive Models.

Contested boundaries: Explaining where ethnoracial diversity provokes neighborhood conflict

Legewie, J., & Schaeffer, M. (2016) · American Journal of Sociology · doi:10.1086/686942 · Cited by 168

Neighborhood Resources for Physical Activity and Healthy Foods and Their Association With Insulin Resistance

Auchincloss, A. H., Diez Roux, A. V., Brown, D. G., Erdmann, C. A., & Bertoni, A. G. (2008) · Epidemiology · doi:10.1097/ede.0b013e31815c480 · Cited by 167

Ozone and daily mortality in Shanghai, China

Zhang, Y., Huang, W., London, S. J., Song, G., Chen, G., Jiang, L., Zhao, N., Chen, B., & Kan, H. (2006) · Environmental Health Perspectives · doi:10.1289/ehp.9014 · Cited by 163

A meta‐analysis of coffee, myocardial infarction, and coronary death

Greenland, S. (1993) · Epidemiology · doi:10.1097/00001648-199307000-00013 · Cited by 163

Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning

Walmsley, M., Smith, L., Lintott, C., Gal, Y., Bamford, S., Dickinson, H., Fortson, L., Kruk, S., Masters, K., Scarlata, C., et al. (2020) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz2816 · Cited by 160

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

Modelling monotonic effects of ordinal predictors in Bayesian regression models

Bürkner, P., & Charpentier, E. (2020) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/bmsp.12195 · Cited by 160

Leukaemia and myeloid malignancy among people exposed to low doses (<100 mSv) of ionising radiation during childhood: a pooled analysis of nine historical cohort studies

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 Wildlife Picture Index: monitoring top trophic levels

O'Brien, T. G., Baillie, J. E. M., Krueger, L., & Cuke, M. (2010) · Animal Conservation · doi:10.1111/j.1469-1795.2010.00357.x · Cited by 151

Habitat characteristics of skipjack tuna ( Katsuwonus pelamis ) in the western North Pacific: a remote sensing perspective

MUGO, R., SAITOH, S., NIHIRA, A., & KUROYAMA, T. (2010) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2010.00552.x · Cited by 149

Lumbar Lordosis and Pelvic Inclination in Adults With Chronic Low Back Pain

Youdas, J. W., Garrett, T. R., Egan, K. S., & Therneau, T. M. (2000) · Physical Therapy · doi:10.1093/ptj/80.3.261 · Cited by 146

Biotic and Climatic Velocity Identify Contrasting Areas of Vulnerability to Climate Change

Carroll, C., Lawler, J. J., Roberts, D. R., & Hamann, A. (2015) · PLOS ONE · doi:10.1371/journal.pone.0140486 · Cited by 143

Circulating 25-hydroxyvitamin D3 in pregnancy and infant neuropsychological development

Morales, E., Guxens, M., Llop, S., Rodríguez-Bernal, C. L., Tardón, A., Riaño, I., Ibarluzea, J., Lertxundi, N., Espada, M., Rodriguez, A., et al. (2012) · Pediatrics · doi:10.1542/peds.2011-3289 · Cited by 140

Web-based behavioral treatment for substance use disorders as a partial replacement of standard methadone maintenance treatment

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

Effect of A1C and glucose on postoperative mortality in noncardiac and cardiac surgeries

van den Boom, W., Schroeder, R. A., Manning, M. W., Setji, T. L., Fiestan, G.-O., & Dunson, D. B. (2018) · Diabetes Care · doi:10.2337/dc17-2232 · Cited by 140

Determining clinically meaningful decline in preclinical Alzheimer disease

Insel, P. S., Weiner, M., Mackin, R. S., Mormino, E., Lim, Y. Y., Stomrud, E., Palmqvist, S., Masters, C. L., Maruff, P. T., Hansson, O., et al. (2019) · Neurology · doi:10.1212/wnl.0000000000007831 · Cited by 128

Effects of ambient particulate matter and ozone on daily mortality in Rotterdam, the Netherlands

Hoek, G., Schwartz, J. D., Groot, B., & Eilers, P. (1997) · Archives of Environmental Health An International Journal · doi:10.1080/00039899709602224 · Cited by 133

Variability of human brain structure size: ages 4–20 years

Lange, N., Giedd, J. N., Xavier Castellanos, F., Vaituzis, A. C., & Rapoport, J. L. (1997) · Psychiatry Research: Neuroimaging · doi:10.1016/s0925-4927(96)03054-5 · Cited by 134

Predictive mapping of reef fish species richness, diversity and biomass in Zanzibar using IKONOS imagery and machine-learning techniques

Knudby, A., LeDrew, E., & Brenning, A. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.01.007 · Cited by 129

Robust shifts in S100a9 expression with aging: A novel mechanism for chronic inflammation

Swindell, W. R., Johnston, A., Xing, X., Little, A., Robichaud, P., Voorhees, J. J., Fisher, G., & Gudjonsson, J. E. (2013) · Scientific Reports · doi:10.1038/srep01215 · Cited by 124

Stochastic earned value analysis using Monte Carlo simulation and statistical learning techniques

Acebes, F., Pereda, M., Poza, D., Pajares, J., & Galán, J. M. (2015) · International Journal of Project Management · doi:10.1016/j.ijproman.2015.06.012 · Cited by 120

Automobile insurance classification ratemaking based on telematics driving data

Huang, Y., & Meng, S. (2019) · Decision Support Systems · doi:10.1016/j.dss.2019.113156 · Cited by 119

Plant species as predictors of soil pH: Replacing expert judgement with measurements

Wamelink, G. W. W., Goedhart, P. W., Van Dobben, H. F., & Berendse, F. (2005) · Journal of Vegetation Science · doi:10.1111/j.1654-1103.2005.tb02386.x · Cited by 116

Bankruptcy prediction by generalized additive models

Berg, D. (2007) · Applied Stochastic Models in Business and Industry · doi:10.1002/asmb.658 · Cited by 114

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

Estimating and Modelling Bias of the Hierarchical Partitioning Public-Domain Software: Implications in Environmental Management and Conservation

Olea, P. P., Mateo-Tomás, P., & de Frutos, Á. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011698 · Cited by 109

Water-Borne Diseases and Extreme Weather Events in Cambodia: Review of Impacts and Implications of Climate Change

Davies, G., McIver, L., Kim, Y., Hashizume, M., Iddings, S., & Chan, V. (2014) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph120100191 · Cited by 106

Distribution and Habitat Associations of Billfish and Swordfish Larvae across Mesoscale Features in the Gulf of Mexico

Rooker, J. R., Simms, J. R., Wells, R. J. D., Holt, S. A., Holt, G. J., Graves, J. E., & Furey, N. B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034180 · Cited by 105

Excessive Heat and Respiratory Hospitalizations in New York State: Estimating Current and Future Public Health Burden Related to Climate Change

Lin, S., Hsu, W.-H., Van Zutphen, A. R., Saha, S., Luber, G., & Hwang, S.-A. (2012) · Environmental Health Perspectives · doi:10.1289/ehp.1104728 · Cited by 105

The geometric mean of relative abundance indices: a biodiversity measure with a difference

Buckland, S. T., Studeny, A. C., Magurran, A. E., Illian, J. B., & Newson, S. E. (2011) · Ecosphere · doi:10.1890/es11-00186.1 · Cited by 102

Effects of a Clinical Trial on Mechanical Ventilation Practices in Patients with Acute Lung Injury

Checkley, W., Brower, R., Korpak, A., & Thompson, B. T. (2008) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200709-1424oc · Cited by 104

Enhancing Explainability of Neural Networks Through Architecture Constraints

Yang, Z., Zhang, A., & Sudjianto, A. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.3007259 · Cited by 106

Efficient estimation of smooth distributions from coarsely grouped data

Rizzi, S., Gampe, J., & Eilers, P. H. C. (2015) · American Journal of Epidemiology · doi:10.1093/aje/kwv020 · Cited by 98

Physico-chemical properties and gestational diabetes predict transplacental transfer and partitioning of perfluoroalkyl substances

Eryasa, B., Grandjean, P., Nielsen, F., Valvi, D., Zmirou-Navier, D., Sunderland, E., Weihe, P., & Oulhote, Y. (2019) · Environment International · doi:10.1016/j.envint.2019.05.068 · Cited by 98

Inadequate socialisation, inactivity, and urban living environment are associated with social fearfulness in pet dogs

Puurunen, J., Hakanen, E., Salonen, M. K., Mikkola, S., Sulkama, S., Araujo, C., & Lohi, H. (2020) · Scientific Reports · doi:10.1038/s41598-020-60546-w · Cited by 96

ICT as a general-purpose technology: The productivity of ICT in the United States revisited

Liao, H., Wang, B., Li, B., & Weyman-Jones, T. (2016) · Information Economics and Policy · doi:10.1016/j.infoecopol.2016.05.001 · Cited by 95

Forest fires are associated with elevated mortality in a dense urban setting

Analitis, A., Georgiadis, I., & Katsouyanni, K. (2012) · Occupational and Environmental Medicine · doi:10.1136/oem.2010.064238 · Cited by 94

Policing the homeless: An evaluation of efforts to reduce homeless‐related crime

Berk, R., & MacDonald, J. (2010) · Criminology & Public Policy · doi:10.1111/j.1745-9133.2010.00673.x · Cited by 93

Assessing local model adequacy in Bayesian hierarchical models using the partitioned deviance information criterion

Wheeler, D. C., Hickson, D. A., & Waller, L. A. (2010) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2010.01.025 · Cited by 90

COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations

Abdul, A., von der Weth, C., Kankanhalli, M., & Lim, B. Y. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376615 · Cited by 96

Untitled work

(2012) · Cited by 90

Comparing California Current cetacean–habitat models developed using in situ and remotely sensed sea surface temperature data

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

Correlations between Serum Testosterone, Estradiol, and Sex Hormone-Binding Globulin and Bone Mineral Density in a Diverse Sample of Men

Araujo, A. B., Travison, T. G., Leder, B. Z., & McKinlay, J. B. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-1469 · Cited by 86

Deficit of Vitamin D in Pregnancy and Growth and Overweight in the Offspring

Morales, E., Rodriguez, A., Valvi, D., Iñiguez, C., Esplugues, A., Vioque, J., Marina, L. S., Jiménez, A., Espada, M., Dehli, C. R., et al. (2015) · International Journal of Obesity · doi:10.1038/ijo.2014.165 · Cited by 84

New approaches to regression by generalized additive models and continuous optimization for modern applications in finance, science and technology

Taylan, P., Weber, G.-W., & Beck, A. (2007) · Optimization · doi:10.1080/02331930701618740 · Cited by 83

Can we use the young : female ratio to infer ungulate population dynamics? An empirical test using red deer Cervus elaphus as a model

BONENFANT, C., GAILLARD, J., KLEIN, F., & HAMANN, J. (2005) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2005.01008.x · Cited by 80

Non-life rate-making with Bayesian GAMs

Denuit, M., & Lang, S. (2004) · Insurance: Mathematics and Economics · doi:10.1016/j.insmatheco.2004.08.001 · Cited by 75

Respiratory and mental health effects of wildfires: an ecological study in Galician municipalities (north-west Spain)

Caamano-Isorna, F., Figueiras, A., Sastre, I., Montes-Martínez, A., Taracido, & Piñeiro-Lamas, M. (2011) · Environmental Health · doi:10.1186/1476-069x-10-48 · Cited by 71

Explainable machine learning for public policy: Use cases, gaps, and research directions

Amarasinghe, K., Rodolfa, K. T., Lamba, H., & Ghani, R. (2023) · Data & Policy · doi:10.1017/dap.2023.2 · Cited by 73

The Differential Time-Varying Effect Model (DTVEM): A tool for diagnosing and modeling time lags in intensive longitudinal data

Jacobson, N. C., Chow, S.-M., & Newman, M. G. (2019) · Behavior Research Methods · doi:10.3758/s13428-018-1101-0 · Cited by 63

Testing the Dose–Response Specification in Epidemiology: Public Health and Policy Consequences for Lead

Rothenberg, S. J., & Rothenberg, J. C. (2005) · Environmental Health Perspectives · doi:10.1289/ehp.7691 · Cited by 63

Hierarchical interpretation of nonlinear relationships linking yellowfin tuna (Thunnus albacares) distribution to the environment in the Atlantic Ocean

Maury, O., Gascuel, D., Marsac, F., Fonteneau, A., & Rosa, A.-L. D. (2001) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/f00-261 · Cited by 61

Associação entre material particulado de queimadas e doenças respiratórias na região sul da Amazônia brasileira

Carmo, C. N. D., Hacon, S., Longo, K. M., Freitas, S., Ignotti, E., Leon, A. P. D., & Artaxo, P. (2010) · Revista Panamericana de Salud Pública · doi:10.1590/s1020-49892010000100002 · Cited by 58

Sleep duration, vital exhaustion, and odds of spontaneous preterm birth: a case–control study

Kajeepeta, S., Sanchez, S. E., Gelaye, B., Qiu, C., Barrios, Y. V., Enquobahrie, D. A., & Williams, M. A. (2014) · BMC Pregnancy and Childbirth · doi:10.1186/1471-2393-14-337 · Cited by 51

Gendered movement ecology and landscape use in Hadza hunter-gatherers

Wood, B. M., Harris, J. A., Raichlen, D. A., Pontzer, H., Sayre, K., Sancilio, A., Berbesque, C., Crittenden, A. N., Mabulla, A., McElreath, R., et al. (2021) · Nature Human Behaviour · doi:10.1038/s41562-020-01002-7 · Cited by 57

Variation in incidence of neurodevelopmental disorders with season of birth

Atladóttir, H. Ó., Parner, E. T., Schendel, D., Dalsgaard, S., Thomsen, P. H., & Thorsen, P. (2007) · Epidemiology · doi:10.1097/01.ede.0000254064.92806.13 · Cited by 52

Hypoalbuminemia and early mortality after lung transplantation: a cohort study

Baldwin, M. R., Arcasoy, S. M., Shah, A., Schulze, P. C., Sze, J., Sonett, J. R., & Lederer, D. J. (2012) · American Journal of Transplantation · doi:10.1111/j.1600-6143.2011.03965.x · Cited by 54

The influence of different signal-to-background ratios on spatial resolution and F18-FDG-PET quantification using point spread function and time-of-flight reconstruction

Rogasch, J. M., Hofheinz, F., Lougovski, A., Furth, C., Ruf, J., Großer, O. S., Mohnike, K., Hass, P., Walke, M., Amthauer, H., et al. (2014) · EJNMMI Physics · doi:10.1186/2197-7364-1-12 · Cited by 53

Autism spectrum disorder phenotypes and prenatal exposure to methylmercury

van Wijngaarden, E., Davidson, P. W., Smith, T. H., Evans, K., Yost, K., Love, T., Thurston, S. W., Watson, G. E., Zareba, G., Burns, C. M., et al. (2013) · Epidemiology · doi:10.1097/ede.0b013e31829d2651 · Cited by 49

Urban expansion in Zanzibar City, Tanzania: Analyzing quantity, spatial patterns and effects of alternative planning approaches

Kukkonen, M. O., Muhammad, M. J., Käyhkö, N., & Luoto, M. (2018) · Land Use Policy · doi:10.1016/j.landusepol.2017.11.007 · Cited by 46

A causal inference approach to measure price elasticity in Automobile Insurance

Guelman, L., & Guillén, M. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.07.059 · Cited by 43

A comparison of hierarchical models for relative catch efficiency based on paired-gear data for US Northwest Atlantic fish stocks

Miller, T. J. (2013) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/cjfas-2013-0136 · Cited by 44

The Role of Race in Forecasts of Violent Crime

Berk, R. (2009) · Race and Social Problems · doi:10.1007/s12552-009-9017-z · Cited by 41

Quantifying 3D chemotaxis in microfluidic-based chips with step gradients of collagen hydrogel concentrations

Del Amo, C., Borau, C., Movilla, N., Asín, J., & García-Aznar, J. M. (2017) · Integrative Biology · doi:10.1039/c7ib00022g · Cited by 38

Stimulant treatment profiles predicting co-occurring substance use disorders in individuals with attention-deficit/hyperactivity disorder

Groenman, A. P., Schweren, L. J. S., Weeda, W., Luman, M., Noordermeer, S. D. S., Heslenfeld, D. J., Franke, B., Faraone, S. V., Rommelse, N., Hartman, C. A., et al. (2019) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-019-01283-y · Cited by 36

Dose-dependent model of caffeine effects on human vigilance during total sleep deprivation

Ramakrishnan, S., Laxminarayan, S., Wesensten, N. J., Kamimori, G. H., Balkin, T. J., & Reifman, J. (2014) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2014.05.017 · Cited by 33

Physics-based simulations of aerial attacks by peregrine falcons reveal that stooping at high speed maximizes catch success against agile prey

Mills, R., Hildenbrandt, H., Taylor, G. K., & Hemelrijk, C. K. (2018) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1006044 · Cited by 30

Short-term forecasts of expected deaths

Rizzi, S., & Vaupel, J. W. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2025324118 · Cited by 18

Emergency visits and hospital admissions in aged people living close to a gas-fired power plant

Di Ciaula, A. (2012) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2011.09.013 · Cited by 17

Tensor cubic smoothing splines in designed experiments requiring residual modelling

Verbyla, A. P., De Faveri, J., Wilkie, J. D., & Lewis, T. (2018) · Journal of Agricultural, Biological and Environmental Statistics · doi:10.1007/s13253-018-0334-9 · Cited by 16

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(1998) · doi:10.1007/3-540-26577-5_17 · Cited by 15

Untitled work

(2012) · RePEc: Research Papers in Economics · Cited by 13

Modelling the routes of seasonal transhumance movement in north neuquén (patagonia)

D’Abramo, S. L., Gonzalez, P. N., Perez, S. I., & Bernal, V. (2021) · Human Ecology · doi:10.1007/s10745-021-00246-9 · Cited by 12

Signals from the deep-sea: Genetic structure, morphometric analysis, and ecological implications of Cyclothone braueri (Pisces, Gonostomatidae) early life stages in the Central Mediterranean Sea

Torri, M., Pappalardo, A. M., Ferrito, V., Giannì, S., Armeri, G. M., Patti, C., Mangiaracina, F., Biondo, G., Di Natale, M., Musco, M., et al. (2021) · Marine Environmental Research · doi:10.1016/j.marenvres.2021.105379 · Cited by 12

Key Enhancements to the WFRC/MAG Four-Step Travel Demand Model

University of Utah, Ewing, R., Sabouri, S., University of Utah, Park, K., University of Utah, Lyons, T., University of Utah, Tian, G., & University of Utah (2019) · doi:10.15760/trec.246 · Cited by 3