Generalized Additive Models.

Regression shrinkage and selection via the lasso

Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482

Greedy function approximation: A gradient boosting machine

Friedman, J. H. (2001) · The Annals of Statistics · doi:10.1214/aos/1013203451 · Cited by 30,731

A New Equation to Estimate Glomerular Filtration Rate

Levey, A. S., Stevens, L. A., Schmid, C. H., Zhang, Y. (., Castro, A. F., Feldman, H. I., Kusek, J. W., Eggers, P., Van Lente, F., Greene, T., et al. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-9-200905050-00006 · Cited by 25,603

Bayesian Measures of Model Complexity and Fit

Spiegelhalter, D. J., Best, N. G., Carlin, B. P., & Van Der Linde, A. (2002) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00353 · Cited by 151

Gaussian Processes for Machine Learning

Rasmussen, C. E., & Williams, C. K. I. (2005) · doi:10.7551/mitpress/3206.001.0001 · Cited by 11,705

Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution

Pope III, C. A. (2002) · JAMA · doi:10.1001/jama.287.9.1132 · Cited by 8,447

The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells

Trapnell, C., Cacchiarelli, D., Grimsby, J., Pokharel, P., Li, S., Morse, M., Lennon, N. J., Livak, K. J., Mikkelsen, T. S., & Rinn, J. L. (2014) · Nature Biotechnology · doi:10.1038/nbt.2859 · Cited by 7,314

A working guide to boosted regression trees

Elith, J., Leathwick, J. R., & Hastie, T. (2008) · Journal of Animal Ecology · doi:10.1111/j.1365-2656.2008.01390.x · Cited by 6,484

Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation

Phillips, S. J., & Dudík, M. (2008) · Ecography · doi:10.1111/j.0906-7590.2008.5203.x · Cited by 5,890

Proportional hazards tests and diagnostics based on weighted residuals

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MatchIt : Nonparametric Preprocessing for Parametric Causal Inference

Ho, D. E., Imai, K., King, G., & Stuart, E. A. (2011) · Journal of Statistical Software · doi:10.18637/jss.v042.i08 · Cited by 4,385

A general approach to causal mediation analysis.

Imai, K., Keele, L., & Tingley, D. (2010) · Psychological Methods · doi:10.1037/a0020761 · Cited by 4,143

Methods to account for spatial autocorrelation in the analysis of species distributional data: a review.

F. Dormann, C., M. McPherson, J., B. Araújo, M., Bivand, R., Bolliger, J., Carl, G., G. Davies, R., Hirzel, A., Jetz, W., Daniel Kissling, W., et al. (2007) · Ecography · doi:10.1111/j.2007.0906-7590.05171.x · Cited by 3,433

Association of Sleep-Disordered Breathing, Sleep Apnea, and Hypertension in a Large Community-Based Study

Nieto, F. J. (2000) · JAMA · doi:10.1001/jama.283.14.1829 · Cited by 3,369

Generalized additive models for location, scale and shape.

Rigby, R. A., & Stasinopoulos, D. M. (2005) · Journal of the Royal Statistical Society Series C: Applied Statistics · doi:10.1111/j.1467-9876.2005.00510.x · Cited by 3,228

Multiple imputation of discrete and continuous data by fully conditional specification

van Buuren, S. (2007) · Statistical Methods in Medical Research · doi:10.1177/0962280206074463 · Cited by 2,827

The art of modelling range-shifting species: The art of modelling range-shifting species

Elith, J., Kearney, M., & Phillips, S. (2010) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2010.00036.x · Cited by 2,813

Transplantation of Embryonic Dopamine Neurons for Severe Parkinson's Disease

Freed, C. R., Greene, P. E., Breeze, R. E., Tsai, W.-Y., DuMouchel, W., Kao, R., Dillon, S., Winfield, H., Culver, S., Trojanowski, J. Q., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200103083441002 · Cited by 2,366

Generalized linear and generalized additive models in studies of species distributions: setting the scene

Guisan, A., Edwards, T. C., & Hastie, T. (2002) · Ecological Modelling · doi:10.1016/s0304-3800(02)00204-1 · Cited by 2,356

Dichotomizing continuous predictors in multiple regression: a bad idea

Royston, P., Altman, D. G., & Sauerbrei, W. (2006) · Statistics in Medicine · doi:10.1002/sim.2331 · Cited by 2,312

Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis

Leek, J. T., & Storey, J. D. (2007) · PLoS Genetics · doi:10.1371/journal.pgen.0030161 · Cited by 1,930

Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission

Caruana, R., Lou, Y., Gehrke, J., Koch, P., Sturm, M., & Elhadad, N. (2015) · Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · doi:10.1145/2783258.2788613 · Cited by 1,685

Prevalence of monoclonal gammopathy of undetermined significance

Kyle, R. A., Therneau, T. M., Rajkumar, S. V., Larson, D. R., Plevak, M. F., Offord, J. R., Dispenzieri, A., Katzmann, J. A., & Melton, L. J. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa054494 · Cited by 1,423

Predictive learning via rule ensembles

Friedman, J. H., & Popescu, B. E. (2008) · The Annals of Applied Statistics · doi:10.1214/07-aoas148 · Cited by 1,315

Quantitative brain magnetic resonance imaging in attention-deficit hyperactivity disorder

Castellanos, F. X. (1996) · Archives of General Psychiatry · doi:10.1001/archpsyc.1996.01830070053009 · Cited by 1,183

Risk Factors for Adverse Life Outcomes in Fetal Alcohol Syndrome and Fetal Alcohol Effects

STREISSGUTH, A. P., BOOKSTEIN, F. L., BARR, H. M., SAMPSON, P. D., O'MALLEY, K., & YOUNG, J. K. (2004) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/00004703-200408000-00002 · Cited by 1,195

Statistical data analysis in the computer age

Efron, B., & Tibshirani, R. (1991) · Science · doi:10.1126/science.253.5018.390 · Cited by 1,192

The use of fractional polynomials to model continuous risk variables in epidemiology

Royston, P., Ambler, G., & Sauerbrei, W. (1999) · International Journal of Epidemiology · doi:10.1093/ije/28.5.964 · Cited by 1,066

Global Pyrogeography: the Current and Future Distribution of Wildfire

Krawchuk, M. A., Moritz, M. A., Parisien, M.-A., Van Dorn, J., & Hayhoe, K. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005102 · Cited by 1,000

Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook

Lee, D., Hosanagar, K., & Nair, H. S. (2018) · Management Science · doi:10.1287/mnsc.2017.2902 · Cited by 1,069

Pre-eclampsia rates in the United States, 1980-2010: age-period-cohort analysis

Ananth, C. V., Keyes, K. M., & Wapner, R. J. (2013) · BMJ · doi:10.1136/bmj.f6564 · Cited by 940

On the relationship between farmland biodiversity and land-use intensity in Europe

Kleijn, D., Kohler, F., Báldi, A., Batáry, P., Concepción, E. D., Clough, Y., Díaz, M., Gabriel, D., Holzschuh, A., Knop, E., et al. (2009) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2008.1509 · Cited by 868

Ocean's least productive waters are expanding

Polovina, J. J., Howell, E. A., & Abecassis, M. (2008) · Geophysical Research Letters · doi:10.1029/2007gl031745 · Cited by 836

On the use of generalized additive models in time-series studies of air pollution and health

Dominici, F. (2002) · American Journal of Epidemiology · doi:10.1093/aje/kwf062 · Cited by 728

Prevalence of Symptomatic Androgen Deficiency in Men

Araujo, A. B., Esche, G. R., Kupelian, V., O’Donnell, A. B., Travison, T. G., Williams, R. E., Clark, R. V., & McKinlay, J. B. (2007) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-1245 · Cited by 720

Interpretable Decision Sets: A Joint Framework for Description and Prediction

Lakkaraju, H., Bach, S. H., & Leskovec, J. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · doi:10.1145/2939672.2939874 · Cited by 687

Time trends in the incidence of type 1 diabetes in Finnish children: a cohort study

Harjutsalo, V., Sjöberg, L., & Tuomilehto, J. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60765-5 · Cited by 666

The uncertain nature of absences and their importance in species distribution modelling

Lobo, J. M., Jiménez‐Valverde, A., & Hortal, J. (2010) · Ecography · doi:10.1111/j.1600-0587.2009.06039.x · Cited by 656

A review of spline function procedures in R

Perperoglou, A., Sauerbrei, W., Abrahamowicz, M., & Schmid, M. (2019) · BMC Medical Research Methodology · doi:10.1186/s12874-019-0666-3 · Cited by 585

Model Choice in Time Series Studies of Air Pollution and Mortality

Peng, R. D., Dominici, F., & Louis, T. A. (2006) · Journal of the Royal Statistical Society Series A: Statistics in Society · doi:10.1111/j.1467-985x.2006.00410.x · Cited by 583

Season, sex, age, and education as modifiers of the effects of outdoor air pollution on daily mortality in Shanghai, China: the Public Health and Air Pollution in Asia (PAPA) Study

Kan, H., London, S. J., Chen, G., Zhang, Y., Song, G., Zhao, N., Jiang, L., & Chen, B. (2008) · Environmental Health Perspectives · doi:10.1289/ehp.10851 · Cited by 582

The analysis of designed experiments and longitudinal data by using smoothing splines

Verbyla, A. P., Cullis, B. R., Kenward, M. G., & Welham, S. J. (1999) · Journal of the Royal Statistical Society Series C: Applied Statistics · doi:10.1111/1467-9876.00154 · Cited by 570

RECOGNITION AND SELECTION OF SETTLEMENT SUBSTRATA DETERMINE POST-SETTLEMENT SURVIVAL IN CORALS

Harrington, L., Fabricius, K., De'ath, G., & Negri, A. (2004) · Ecology · doi:10.1890/04-0298 · Cited by 568

Hyponatremia among runners in the Boston Marathon.

Almond, C. S. D., Shin, A. Y., Fortescue, E. B., Mannix, R. C., Wypij, D., Binstadt, B. A., Duncan, C. N., Olson, D. P., Salerno, A. E., Newburger, J. W., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa043901 · Cited by 553

Accurate intelligible models with pairwise interactions

Lou, Y., Caruana, R., Gehrke, J., & Hooker, G. (2013) · Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2487575.2487579 · Cited by 564

Hemorrhagic and Ischemic Strokes Compared: Stroke Severity, Mortality, and Risk Factors

Andersen, K. K., Olsen, T. S., Dehlendorff, C., & Kammersgaard, L. P. (2009) · Stroke · doi:10.1161/strokeaha.108.540112 · Cited by 552

Intelligible models for classification and regression

Lou, Y., Caruana, R., & Gehrke, J. (2012) · Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2339530.2339556 · Cited by 547

Smoking and mental illness: results from population surveys in Australia and the United States

Lawrence, D., Mitrou, F., & Zubrick, S. R. (2009) · BMC Public Health · doi:10.1186/1471-2458-9-285 · Cited by 517

Recall of Early Menstrual History and Menarcheal Body Size: After 30 Years, How Well Do Women Remember?

Must, A. (2002) · American Journal of Epidemiology · doi:10.1093/aje/155.7.672 · Cited by 506

Reproducing Kernel Hilbert Spaces Regression Methods for Genomic Assisted Prediction of Quantitative Traits

Gianola, D., & van Kaam, J. B. C. H. M. (2008) · Genetics · doi:10.1534/genetics.107.084285 · Cited by 457

Genomic-Assisted Prediction of Genetic Value With Semiparametric Procedures

Gianola, D., Fernando, R. L., & Stella, A. (2006) · Genetics · doi:10.1534/genetics.105.049510 · Cited by 450

Global biomass burning: a synthesis and review of Holocene paleofire records and their controls

Marlon, J. R., Bartlein, P. J., Daniau, A.-L., Harrison, S. P., Maezumi, S. Y., Power, M. J., Tinner, W., & Vanniére, B. (2013) · Quaternary Science Reviews · doi:10.1016/j.quascirev.2012.11.029 · Cited by 438

Acute Effects of Ozone on Mortality from the “Air Pollution and Health

Gryparis, A., Forsberg, B., Katsouyanni, K., Analitis, A., Touloumi, G., Schwartz, J., Samoli, E., Medina, S., Anderson, H. R., Niciu, E. M., et al. (2004) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200403-333oc · Cited by 449

Seasonal analyses of air pollution and mortality in 100 US cities

Peng, R. D., Dominici, F., Pastor-Barriuso, R., Zeger, S. L., & Samet, J. M. (2005) · American Journal of Epidemiology · doi:10.1093/aje/kwi075 · Cited by 450

Advancing paternal age and risk of autism: new evidence from a population-based study and a meta-analysis of epidemiological studies

Hultman, C. M., Sandin, S., Levine, S. Z., Lichtenstein, P., & Reichenberg, A. (2011) · Molecular Psychiatry · doi:10.1038/mp.2010.121 · Cited by 444

INHALATION OF POORLY SOLUBLE PARTICLES. II. INFLUENCE OF PARTICLE SURFACE AREA ON INFLAMMATION AND CLEARANCE

C. L. Tran, D. B. (2000) · Inhalation Toxicology · doi:10.1080/08958370050166796 · Cited by 436

Association of urinary phthalate metabolite concentrations with body mass index and waist circumference: a cross-sectional study of NHANES data, 1999–2002

Hatch, E. E., Nelson, J. W., Qureshi, M. M., Weinberg, J., Moore, L. L., Singer, M., & Webster, T. F. (2008) · Environmental Health · doi:10.1186/1476-069x-7-27 · Cited by 436

A multisite study of long-term remission and relapse of type 2 diabetes mellitus following gastric bypass

Arterburn, D. E., Bogart, A., Sherwood, N. E., Sidney, S., Coleman, K. J., Haneuse, S., O’Connor, P. J., Theis, M. K., Campos, G. M., McCulloch, D., et al. (2013) · Obesity Surgery · doi:10.1007/s11695-012-0802-1 · Cited by 426

Effects of a universal classroom behavior management program in first and second grades on young adult behavioral, psychiatric, and social outcomes

Kellam, S. G., Brown, C. H., Poduska, J. M., Ialongo, N. S., Wang, W., Toyinbo, P., Petras, H., Ford, C., Windham, A., & Wilcox, H. C. (2008) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2008.01.004 · Cited by 431

Fine particulate air pollution and mortality in nine California counties: results from CALFINE

Ostro, B., Broadwin, R., Green, S., Feng, W.-Y., & Lipsett, M. (2006) · Environmental Health Perspectives · doi:10.1289/ehp.8335 · Cited by 425

Does microdamage accumulation affect the mechanical properties of bone?

Burr, D. B., Turner, C. H., Naick, P., Forwood, M. R., Ambrosius, W., Sayeed Hasan, M., & Pidaparti, R. (1998) · Journal of Biomechanics · doi:10.1016/s0021-9290(98)00016-5 · Cited by 417

Predictability of biomass burning in response to climate changes

Daniau, A. ‐., Bartlein, P. J., Harrison, S. P., Prentice, I. C., Brewer, S., Friedlingstein, P., Harrison‐Prentice, T. I., Inoue, J., Izumi, K., Marlon, J. R., et al. (2012) · Global Biogeochemical Cycles · doi:10.1029/2011gb004249 · Cited by 417

The Relative Contributions of Aging, Health, and Lifestyle Factors to Serum Testosterone Decline in Men

Travison, T. G., Araujo, A. B., Kupelian, V., O’Donnell, A. B., & McKinlay, J. B. (2007) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2006-1859 · Cited by 410

Demonstration of deductive meta-analysis: ethanol intake and risk of myocardial infarction

Maclure, M. (1993) · Epidemiologic Reviews · doi:10.1093/oxfordjournals.epirev.a036124 · Cited by 397

A new malaria vector in Africa: Predicting the expansion range of Anopheles stephensi and identifying the urban populations at risk

Sinka, M. E., Pironon, S., Massey, N. C., Longbottom, J., Hemingway, J., Moyes, C. L., & Willis, K. J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2003976117 · Cited by 385

The association of placenta previa with history of cesarean delivery and abortion: A metaanalysis

Ananth, C. V., Smulian, J. C., & Vintzileos, A. M. (1997) · American Journal of Obstetrics and Gynecology · doi:10.1016/s0002-9378(97)70017-6 · Cited by 361

Estimating particulate matter-mortality dose-response curves and threshold levels: an analysis of daily time-series for the 20 largest US cities

Daniels, M. J. (2000) · American Journal of Epidemiology · doi:10.1093/aje/152.5.397 · Cited by 348

Computer game play reduces intrusive memories of experimental trauma via reconsolidation update mechanisms

James, E. L., Bonsall, M. B., Hoppitt, L., Tunbridge, E. M., Geddes, J. R., Milton, A. L., & Holmes, E. A. (2015) · Psychological Science · doi:10.1177/0956797615583071 · Cited by 333

Differentiating the effects of fine and coarse particles on daily mortality in Shanghai, China

Kan, H., London, S. J., Chen, G., Zhang, Y., Song, G., Zhao, N., Jiang, L., & Chen, B. (2007) · Environment International · doi:10.1016/j.envint.2006.12.001 · Cited by 339

Effect of intensive diabetes therapy on the progression of diabetic retinopathy in patients with type 1 diabetes: 18 years of follow-up in the DCCT/EDIC

The Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) Research Group (2015) · Diabetes · doi:10.2337/db14-0930 · Cited by 333

Long-term impacts of prescribed burning on regional extent and incidence of wildfires-Evidence from 50 years of active fire management in SW Australian forests

Boer, M. M., Sadler, R. J., Wittkuhn, R. S., McCaw, L., & Grierson, P. F. (2009) · Forest Ecology and Management · doi:10.1016/j.foreco.2009.10.005 · Cited by 309

Shape constrained additive models

Pya, N., & Wood, S. N. (2015) · Statistics and Computing · doi:10.1007/s11222-013-9448-7 · Cited by 315

Percentage of Gestational Diabetes Mellitus Attributable to Overweight and Obesity

Kim, S. Y., England, L., Wilson, H. G., Bish, C., Satten, G. A., & Dietz, P. (2010) · American Journal of Public Health · doi:10.2105/ajph.2009.172890 · Cited by 302

Air Pollution and Mortality: Estimating Regional and National Dose-Response Relationships

Dominici, F., Daniels, M., Zeger, S. L., & Samet, J. M. (2002) · Journal of the American Statistical Association · doi:10.1198/016214502753479266 · Cited by 303

The temporal pattern of respiratory and heart disease mortality in response to air pollution

Zanobetti, A., Schwartz, J., Samoli, E., Gryparis, A., Touloumi, G., Peacock, J., Anderson, R. H., Le Tertre, A., Bobros, J., Celko, M., et al. (2003) · Environmental Health Perspectives · doi:10.1289/ehp.5712 · Cited by 300

Heterogeneous global crop yield response to biochar: a meta-regression analysis

Crane-Droesch, A., Abiven, S., Jeffery, S., & Torn, M. S. (2013) · Environmental Research Letters · doi:10.1088/1748-9326/8/4/044049 · Cited by 297

Untitled work

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Biomass production in switchgrass across the United States: Database description and determinants of yield

Wullschleger, S. D., Davis, E. B., Borsuk, M. E., Gunderson, C. A., & Lynd, L. R. (2010) · Agronomy Journal · doi:10.2134/agronj2010.0087 · Cited by 289

Combining Evidence on Air Pollution and Daily Mortality from the 20 Largest US Cities: A Hierarchical Modelling Strategy

Dominici, F., Samet, J. M., & Zeger, S. L. (2000) · Journal of the Royal Statistical Society Series A: Statistics in Society · doi:10.1111/1467-985x.00170 · Cited by 286

Preventing intrusive memories after trauma via a brief intervention involving Tetris computer game play in the emergency department: A proof-of-concept randomized controlled trial

Iyadurai, L., Blackwell, S. E., Meiser-Stedman, R., Watson, P. C., Bonsall, M. B., Geddes, J. R., Nobre, A. C., & Holmes, E. A. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.23 · Cited by 266

The Effects of Ambient Air Pollution on School Absenteeism Due to Respiratory Illnesses

Gilliland, F. D., Berhane, K., Rappaport, E. B., Thomas, D. C., Avol, E., Gauderman, W. J., London, S. J., Margolis, H. G., McConnell, R., Islam, K. T., et al. (2001) · Epidemiology · doi:10.1097/00001648-200101000-00009 · Cited by 266

Bayesian Inference for Comparative Research

Western, B., & Jackman, S. (1994) · American Political Science Review · doi:10.2307/2944713 · Cited by 257

Towards Out-Of-Distribution Generalization: A Survey

Liu, J., Shen, Z., He, Y., Zhang, X., Xu, R., Yu, H., & Cui, P. (2021) · arXiv · doi:10.48550/arxiv.2108.13624 · Cited by 253

Variation of C-Reactive Protein Levels in Adolescents: Association With Sleep-Disordered Breathing and Sleep Duration

Larkin, E. K., Rosen, C. L., Kirchner, H. L., Storfer-Isser, A., Emancipator, J. L., Johnson, N. L., Zambito, A. M. V., Tracy, R. P., Jenny, N. S., & Redline, S. (2005) · Circulation · doi:10.1161/01.cir.0000161819.76138.5e · Cited by 246

Inflammation and nutritional science for programs/policies and interpretation of research evidence (INSPIRE)

Raiten, D. J., Ashour, F. A. S., Ross, A. C., Meydani, S. N., Dawson, H. D., Stephensen, C. B., Brabin, B. J., Suchdev, P. S., & van Ommen, B. (2015) · The Journal of Nutrition · doi:10.3945/jn.114.194571 · Cited by 234

Benchmarking Computational Doublet-Detection Methods for Single-Cell RNA Sequencing Data

Xi, N. M., & Li, J. J. (2021) · Cell Systems · doi:10.1016/j.cels.2020.11.008 · Cited by 208

“How many images do I need?” Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring

Shahinfar, S., Meek, P., & Falzon, G. (2020) · Ecological Informatics · doi:10.1016/j.ecoinf.2020.101085 · Cited by 229

Plasma adiponectin concentrations in early pregnancy and subsequent risk of gestational diabetes mellitus

Williams, M. A., Qiu, C., Muy-Rivera, M., Vadachkoria, S., Song, T., & Luthy, D. A. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-031201 · Cited by 220

Estimating state of charge and health of lithium-ion batteries with guided waves using built-in piezoelectric sensors/actuators

Ladpli, P., Kopsaftopoulos, F., & Chang, F.-K. (2018) · Journal of Power Sources · doi:10.1016/j.jpowsour.2018.02.056 · Cited by 214

Obesity and underweight are associated with an increased risk of death after lung transplantation

Lederer, D. J., Wilt, J. S., D'Ovidio, F., Bacchetta, M. D., Shah, L., Ravichandran, S., Lenoir, J., Klein, B., Sonett, J. R., & Arcasoy, S. M. (2009) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200903-0425oc · Cited by 198

Multivariable Modeling Strategies

Harrell, F. E. (2015) · Springer Series in Statistics · doi:10.1007/978-3-319-19425-7_4 · Cited by 221

The lag structure between particulate air pollution and respiratory and cardiovascular deaths in 10 US cities

Luís Ferreira Braga, A., Zanobetti, A., & Schwartz, J. (2001) · Journal of Occupational and Environmental Medicine · doi:10.1097/00043764-200111000-00001 · Cited by 196

Global habitat preferences of commercially valuable tuna

Arrizabalaga, H., Dufour, F., Kell, L., Merino, G., Ibaibarriaga, L., Chust, G., Irigoien, X., Santiago, J., Murua, H., Fraile, I., et al. (2015) · Deep Sea Research Part II: Topical Studies in Oceanography · doi:10.1016/j.dsr2.2014.07.001 · Cited by 194

Mortality in type 1 diabetes in the DCCT/EDIC versus the general population

The Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) Study Research Group (2016) · Diabetes Care · doi:10.2337/dc15-2399 · Cited by 194

Mortality Risk Score Prediction in an Elderly Population Using Machine Learning

Rose, S. (2013) · American Journal of Epidemiology · doi:10.1093/aje/kws241 · Cited by 193

Modelling potential spawning habitat of sardine ( Sardina pilchardus ) and anchovy ( Engraulis encrasicolus ) in the Bay of Biscay

PLANQUE, B., BELLIER, E., & LAZURE, P. (2007) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2006.00411.x · Cited by 184

Methods for testing theory and evaluating impact in randomized field trials: Intent-to-treat analyses for integrating the perspectives of person, place, and time

Brown, C. H., Wang, W., Kellam, S. G., Muthén, B. O., Petras, H., Toyinbo, P., Poduska, J., Ialongo, N., Wyman, P. A., Chamberlain, P., et al. (2008) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2007.11.013 · Cited by 177

Association of subclinical hearing loss with cognitive performance

Golub, J. S., Brickman, A. M., Ciarleglio, A. J., Schupf, N., & Luchsinger, J. A. (2020) · JAMA Otolaryngology–Head & Neck Surgery · doi:10.1001/jamaoto.2019.3375 · Cited by 176

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