Applied Logistic Regression

Changes in motor subtype and risk for incident dementia in Parkinson's disease

Alves, G. W., Larsen, J. P., Emre, M., Wentzel‐Larsen, T., & Aarsland, D. (2006) · Movement Disorders · doi:10.1002/mds.20897 · Cited by 434

A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses

Nandi, A., & Shakoor, A. (2009) · Engineering Geology · doi:10.1016/j.enggeo.2009.10.001 · Cited by 434

Standardizing the power of the Hosmer–Lemeshow goodness of fit test in large data sets

Paul, P., Pennell, M. L., & Lemeshow, S. A. (2012) · Statistics in Medicine · doi:10.1002/sim.5525 · Cited by 434

Predicting Postconcussion Syndrome After Mild Traumatic Brain Injury in Children and Adolescents Who Present to the Emergency Department

Babcock, L., Byczkowski, T. L., Wade, S. L., Ho, M. L., Mookerjee, S., & Bazarian, J. J. (2012) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2013.434 · Cited by 455

Gait Speed Predicts Incident Disability: A Pooled Analysis

Perera, S., Patel, K. V., Rosano, C., Rubin, S. M., Satterfield, S., Harris, T. B., Ensrud, K. E., ORWOLL, E. S., Lee, C. G., Chandler, J. M., et al. (2015) · The Journals of Gerontology Series A · doi:10.1093/gerona/glv126 · Cited by 428

Expected utility theory and prospect theory: one wedding and a decent funeral

Harrison, G. W., & Rutström, E. E. (2008) · Experimental Economics · doi:10.1007/s10683-008-9203-7 · Cited by 431

The confounding effect of class size on the validity of object-oriented metrics

Emam, K. E., Benlarbi, S., Goel, N., & Rai, S. N. (2001) · IEEE Transactions on Software Engineering · doi:10.1109/32.935855 · Cited by 418

Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)

Trigila, A., Iadanza, C., Esposito, C., & Mugnozza, G. S. (2015) · Geomorphology · doi:10.1016/j.geomorph.2015.06.001 · Cited by 425

Health promoting outdoor environments - Associations between green space, and health, health-related quality of life and stress based on a Danish national representative survey

Stigsdotter, U. K., Ekholm, O., Schipperijn, J., Toftager, M., Kamper‐Jørgensen, F., & Randrup, T. B. (2010) · Scandinavian Journal of Public Health · doi:10.1177/1403494810367468 · Cited by 423

Assessing the effects of pseudo-absences on predictive distribution model performance

Chefaoui, R. M., & Lobo, J. M. (2007) · Ecological Modelling · doi:10.1016/j.ecolmodel.2007.08.010 · Cited by 419

Ecological Traits Predicting Amphibian Population Declines in Central America

Lips, K. R., Reeve, J. D., & Witters, L. R. (2003) · Conservation Biology · doi:10.1046/j.1523-1739.2003.01623.x · Cited by 417

Logistic Regression

Nick, T. G., & Campbell, K. M. (2007) · Methods in molecular biology · doi:10.1007/978-1-59745-530-5_14 · Cited by 422

A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping

Althuwaynee, O. F., Pradhan, B., Park, H., & Lee, J. (2013) · CATENA · doi:10.1016/j.catena.2013.10.011 · Cited by 414

An Introduction to Logistic Regression: From Basic Concepts to Interpretation with Particular Attention to Nursing Domain

Park, H. (2013) · Journal of Korean Academy of Nursing · doi:10.4040/jkan.2013.43.2.154 · Cited by 427

Neck Disability Index, short form-36 physical component summary, and pain scales for neck and arm pain: the minimum clinically important difference and substantial clinical benefit after cervical spine fusion

Carreon, L. Y., Glassman, S. D., Campbell, M. J., & Anderson, P. A. (2010) · The Spine Journal · doi:10.1016/j.spinee.2010.02.007 · Cited by 413

Comparing performances of logistic regression, classification and regression tree, and neural networks for predicting coronary artery disease

Ömürlü, İ. K., Türe, M., & Kurum, A. T. (2006) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.09.004 · Cited by 406

The Effects of Generalized Joint Laxity on Risk of Anterior Cruciate Ligament Injury in Young Female Athletes

Myer, G. D., Ford, K. R., Paterno, M. V., Nick, T. G., & Hewett, T. E. (2008) · The American Journal of Sports Medicine · doi:10.1177/0363546507313572 · Cited by 404

Modelling wildlife–human relationships for social species with mixed‐effects resource selection models

Hebblewhite, M., & Merrill, E. H. (2008) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2008.01466.x · Cited by 408

Recasts in the Adult English L2 Classroom: Characteristics, Explicitness, and Effectiveness

LOEWEN, S., & PHILP, J. (2006) · The Modern Language Journal · doi:10.1111/j.1540-4781.2006.00465.x · Cited by 408

Co-operation and co-opetition as open innovation practices in the service sector: Which influence on innovation novelty?

Mention, A. (2010) · Technovation · doi:10.1016/j.technovation.2010.08.002 · Cited by 405

Twelve-year course and outcome predictors of anorexia nervosa.

Fichter, M., Quadflieg, N., & Hedlund, S. (2006) · International Journal of Eating Disorders · doi:10.1002/eat.20215 · Cited by 398

Capital Versus Performance Covenants in Debt Contracts

Christensen, H. B., & Nikolaev, V. V. (2011) · Journal of Accounting Research · doi:10.1111/j.1475-679x.2011.00432.x · Cited by 405

Do Client Characteristics Really Drive the Big N Audit Quality Effect? New Evidence from Propensity Score Matching

DeFond, M. L., Erkens, D. H., & Zhang, J. (2016) · Management Science · doi:10.1287/mnsc.2016.2528 · Cited by 401

Usefulness of Bioclimatic Models for Studying Climate Change and Invasive Species

Jeschke, J. M., & Strayer, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1439.002 · Cited by 404

Psychometric properties and clinical utility of brief measures of depression, anxiety, and general distress: The PHQ-2, GAD-2, and K-6

Staples, L. G., Dear, B. F., Gandy, M., Fogliati, V., Fogliati, R., Karin, E., Nielssen, O., & Titov, N. (2019) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2018.11.003 · Cited by 405

Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression

Bui, D. T., Löfman, O., Revhaug, I., & Dick, Ø. B. (2011) · Natural Hazards · doi:10.1007/s11069-011-9844-2 · Cited by 401

Improving the Predictive Accuracy of Static-99 and Static-2002 With Older Sex Offenders

Helmus, L., Thornton, D., Hanson, R. K., & Babchishin, K. (2012) · Sexual abuse. A Journal of Research and Treatment · doi:10.1177/1079063211409951 · Cited by 349

C-reactive protein and mortality in mild to moderate chronic obstructive pulmonary disease

Man, S. F. P. (2006) · Thorax · doi:10.1136/thx.2006.059808 · Cited by 397

An exploratory study of the impact of antipatterns on class change- and fault-proneness

Khomh, F., Penta, M. D., Guéhéneuc, Y., & Antoniol, G. (2011) · Empirical Software Engineering · doi:10.1007/s10664-011-9171-y · Cited by 395

CUMULATIVE TRAUMAS AND RISK THRESHOLDS: 12-MONTH PTSD IN THE WORLD MENTAL HEALTH (WMH) SURVEYS: Cumulative Trauma and PTSD

Karam, E. G., Friedman, M. J., Hill, E. D., Kessler, R. C., McLaughlin, K. A., Petukhova, M., Sampson, L., Shahly, V., Angermeyer, M. C., Bromet, E. J., et al. (2014) · Depression and Anxiety · doi:10.1002/da.22169 · Cited by 446

Random forests as a tool for ecohydrological distribution modelling

Peters, J., Bernard De Baets, C., Verhoest, N. E. C., Samson, R., Degroeve, S., Becker, P. D., & Huybrechts, W. (2007) · Ecological Modelling · doi:10.1016/j.ecolmodel.2007.05.011 · Cited by 398

Effects of Earlier Sea Ice Breakup on Survival and Population Size of Polar Bears in Western Hudson Bay

Regehr, E. V., Lunn, N. J., Amstrup, S. C., & Stirling, I. (2007) · Journal of Wildlife Management · doi:10.2193/2006-180 · Cited by 403

Sensitivity and Specificity of Posterior Corneal Elevation Measured by Pentacam in Discriminating Keratoconus/Subclinical Keratoconus

de Sanctis, U., Loiacono, C., Richiardi, L., Turco, D., Mutani, B., & Grignolo, F. M. (2008) · Ophthalmology · doi:10.1016/j.ophtha.2008.02.020 · Cited by 389

Associations between physical activity and characteristics of urban green space

Schipperijn, J., Bentsen, P., Troelsen, J., Toftager, M., & Stigsdotter, U. K. (2013) · Urban forestry & urban greening · doi:10.1016/j.ufug.2012.12.002 · Cited by 426

A Primer on Receiver Operating Characteristic Analysis and Diagnostic Efficiency Statistics for Pediatric Psychology: We Are Ready to ROC

Youngstrom, E. A. (2013) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jst062 · Cited by 410

Development of a simple screening test for sarcopenia in older adults

Ishii, S., Tanaka, T., Shibasaki, K., Ouchi, Y., Kikutani, T., Higashiguchi, T., Obuchi, S. P., Ishikawa‐Takata, K., Hirano, H., Kawai, H., et al. (2014) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.12197 · Cited by 385

EASI, (objective) SCORAD and POEM for atopic eczema: responsiveness and minimal clinically important difference

Schram, M. E., Spuls, P. I., Leeflang, M., Lindeboom, R., Bos, J. D., & Schmitt, J. M. (2011) · Allergy · doi:10.1111/j.1398-9995.2011.02719.x · Cited by 383

Corporate Accountability Reporting and High-Profile Misconduct

Christensen, D. M. (2015) · The Accounting Review · doi:10.2308/accr-51200 · Cited by 380

Construction site accident analysis using text mining and natural language processing techniques

Zhang, F., Fleyeh, H. A., Wang, X., & Lu, M. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.12.016 · Cited by 385

The U.S. Listing Gap

Doidge, C., Karolyi, G. A., & Stulz, R. M. (2015) · Journal of Financial Economics · doi:10.1016/j.jfineco.2016.12.002 · Cited by 385

Long-Term Physical Health Consequences of Adverse Childhood Experiences

Monnat, S. M., & Chandler, R. F. (2015) · The Sociological Quarterly · doi:10.1111/tsq.12107 · Cited by 380

Coastal freshwater runoff is a risk factor for Toxoplasma gondii infection of southern sea otters ( Enhydra lutris nereis )

Miller, M. A., Gardner, I. A., Kreuder, C., Paradies, D. M., Worcester, K. R., Jessup, D. A., Dodd, E., Harris, M. D., Ames, J. A., Packham, A. E., et al. (2002) · International Journal for Parasitology · doi:10.1016/s0020-7519(02)00069-3 · Cited by 380

Influences on the use of urban green space – A case study in Odense, Denmark

Schipperijn, J., Stigsdotter, U. K., Randrup, T. B., & Troelsen, J. (2009) · Urban forestry & urban greening · doi:10.1016/j.ufug.2009.09.002 · Cited by 399

An overview of the objectives of and the approaches to propensity score analyses

Heinze, G., & Jüni, P. (2011) · European Heart Journal · doi:10.1093/eurheartj/ehr031 · Cited by 379

Predicting Language Outcomes at 4 Years of Age: Findings From Early Language in Victoria Study

Reilly, S., Wake, M. A., Ukoumunne, O. C., Bavin, E. L., Prior, M. R., Cini, E., Conway, L. J., Eadie, P. A., & Bretherton, L. (2010) · PEDIATRICS · doi:10.1542/peds.2010-0254 · Cited by 379

Catastrophic household expenditure for health care in low-income society: a study from Nouna District, Burkina Faso

Su, T. T. (2004) · Bulletin of the World Health Organization · doi:10.2471/blt.05.023739 · Cited by 379

Trade‐offs between predation risk and forage differ between migrant strategies in a migratory ungulate

Hebblewhite, M., & Merrill, E. H. (2009) · Ecology · doi:10.1890/08-2090.1 · Cited by 380

Better Together? Signaling Interactions in New Venture Pursuit of Initial External Capital

Plummer, L. A., Allison, T. H., & Connelly, B. L. (2015) · Academy of Management Journal · doi:10.5465/amj.2013.0100 · Cited by 402

Sex Differences in Outcome after Mild Traumatic Brain Injury

Bazarian, J. J., Blyth, B. J., Mookerjee, S., He, H., & McDermott, M. (2009) · Journal of Neurotrauma · doi:10.1089/neu.2009.1068 · Cited by 404

A quantitative approach to conservation planning: using resource selection functions to map the distribution of mountain caribou at multiple spatial scales

Johnson, C. J., Seip, D. R., & Boyce, M. S. (2004) · Journal of Applied Ecology · doi:10.1111/j.0021-8901.2004.00899.x · Cited by 376

Incidence and predictors for chronicity of headache in patients with episodic migraine

Katsarava, Z., Schneeweiß, S., Kurth, T., Kroener, U., Fritsche, G., Eikermann, A., Diener, H., & Limmroth, V. (2004) · Neurology · doi:10.1212/01.wnl.0000113747.18760.d2 · Cited by 375

Machine learning-based prediction of drug–drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties

Cheng, F., & Zhao, Z. (2014) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2013-002512 · Cited by 382

Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration

Altman, D. G., McShane, L. M., Sauerbrei, W., & Taube, S. E. (2012) · BMC Medicine · doi:10.1186/1741-7015-10-51 · Cited by 378

Accounting for animal movement in estimation of resource selection functions: sampling and data analysis

Forester, J. D., Im, H. K., & Rathouz, P. J. (2009) · Ecology · doi:10.1890/08-0874.1 · Cited by 372

Too Much Ado about Propensity Score Models? Comparing Methods of Propensity Score Matching

Başer, O. (2006) · Value in Health · doi:10.1111/j.1524-4733.2006.00130.x · Cited by 371

Risk factors for drug dependence among out‐patients on opioid therapy in a large US health‐care system

Boscarino, J. A., Rukstalis, M. R., Hoffman, S. N., Han, J., Erlich, P. M., Gerhard, G. S., & Stewart, W. F. (2010) · Addiction · doi:10.1111/j.1360-0443.2010.03052.x · Cited by 367

Pregnancy Outcomes in Women With Inflammatory Bowel Disease: A Large Community-Based Study From Northern California

Mahadevan, U., Sandborn, W. J., Li, D., Hakimian, S., Kane, S. V., & Corley, D. A. (2007) · Gastroenterology · doi:10.1053/j.gastro.2007.07.019 · Cited by 370

Thrombin-specific anticoagulation with bivalirudin versus heparin in patients receiving fibrinolytic therapy for acute myocardial infarction: the HERO-2 randomised trial

White, H. D. (2001) · The Lancet · doi:10.1016/s0140-6736(01)06887-8 · Cited by 365

The Media and Mispricing: The Role of the Business Press in the Pricing of Accounting Information

Drake, M. S., Guest, N. M., & Twedt, B. J. (2014) · The Accounting Review · doi:10.2308/accr-50757 · Cited by 354

The Triglyceride-to-HDL Cholesterol Ratio

Giannini, C., Santoro, N., Caprio, S., Kim, G. J., Lartaud, D., Shaw, M. M., Pierpont, B. M., & Weiss, R. (2011) · Diabetes Care · doi:10.2337/dc10-2234 · Cited by 362

A macro-level analysis of SRL processes and their relations to the acquisition of a sophisticated mental model of a complex system

Greene, J. A., & Azevedo, R. (2008) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2008.05.006 · Cited by 394

The Relationship of Trauma to Mental Disorders Among Trafficked and Sexually Exploited Girls and Women

Hossain, M., Zimmerman, C., Abas, M., Light, M., & Watts, C. H. (2010) · American Journal of Public Health · doi:10.2105/ajph.2009.173229 · Cited by 366

Lifetime and 12-month prevalence of mental disorders in the Nigerian Survey of Mental Health and Well-Being

Gureje, O., Lasebikan, V. O., Kola, L., & Makanjuola, V. A. (2006) · British Journal of Psychiatry · doi:10.1192/bjp.188.5.465 · Cited by 363

Reducing food waste: an investigation on the behaviour of Italian youths

Principato, L., Secondi, L., & Pratesi, C. A. (2015) · British Food Journal · doi:10.1108/bfj-10-2013-0314 · Cited by 359

Two-year course of depressive and anxiety disorders: Results from the Netherlands Study of Depression and Anxiety (NESDA)

Penninx, B. W. J. H., Nolen, W. A., Lamers, F., Zitman, F. G., Smit, J. H., Spinhoven, P., Cuijpers, P., de Jong, P. J., van Marwijk, H. W. J., der Meer, K. V., et al. (2011) · Journal of Affective Disorders · doi:10.1016/j.jad.2011.03.027 · Cited by 354

Statistical mapping of tree species over Europe

Brus, D. J., Hengeveld, G., Walvoort, D. J. J., Goedhart, P. W., Heidema, A. H., Nabuurs, G. J., & Gunia, K. (2011) · European Journal of Forest Research · doi:10.1007/s10342-011-0513-5 · Cited by 359

Removing GPS collar bias in habitat selection studies

Frair, J. L., Nielsen, S. E., Merrill, E. H., Lele, S. R., Boyce, M. S., Munro, R., Stenhouse, G. B., & Beyer, H. L. (2004) · Journal of Applied Ecology · doi:10.1111/j.0021-8901.2004.00902.x · Cited by 360

Bad news travel fast

Naveed, N., Gottron, T., Kunegis, J., & Alhadi, A. C. (2011) · ACM Web Science Conference (WebSci) · doi:10.1145/2527031.2527052 · Cited by 358

Predicting cisplatin ototoxicity in children: the influence of age and the cumulative dose

Li, Y., Womer, R. B., & Silber, J. H. (2003) · European Journal of Cancer · doi:10.1016/j.ejca.2003.08.009 · Cited by 356

Impacts of climate warming and habitat loss on extinctions at species' low‐latitude range boundaries

Franco, A. M. A., Hill, J. K., KITSCHKE, C., Collingham, Y. C., Roy, D. B., Fox, R., Huntley, B. J., & Thomas, C. D. (2006) · Global Change Biology · doi:10.1111/j.1365-2486.2006.01180.x · Cited by 362

Landscape heterogeneity shapes predation in a newly restored predator–prey system

Kauffman, M. J., Varley, N., Smith, D. W., Stahler, D. R., MacNulty, D. R., & Boyce, M. S. (2007) · Ecology Letters · doi:10.1111/j.1461-0248.2007.01059.x · Cited by 350

Emotion recognition using a hierarchical binary decision tree approach

Lee, C.-C., Mower, E., Busso, C., Lee, S., & Narayanan, S. S. (2011) · Speech Communication · doi:10.1016/j.specom.2011.06.004 · Cited by 366

Periodontal Disease as a Risk Factor for Ischemic Stroke

Grau, A., Becher, H., Ziegler, C. M., Lichy, C., Buggle, F., Kaiser, C., Lutz, R., Bültmann, S., Preusch, M. R., & Dörfer, C. E. (2004) · Stroke · doi:10.1161/01.str.0000110789.20526.9d · Cited by 354

Prediction system for risk of allograft loss in patients receiving kidney transplants: international derivation and validation study

Loupy, A., Aubert, O., Orandi, B. J., Naesens, M., Bouatou, Y., Raynaud, M., Divard, G., Jackson, A. M., Viglietti, D., Giral, M., et al. (2019) · BMJ · doi:10.1136/bmj.l4923 · Cited by 354

Assessing the applicability of fault-proneness models across object-oriented software projects

Briand, L., Melo, W. L., & Wüst, J. (2002) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2002.1019484 · Cited by 352

Drinking and Driving, Self-Control, and Gender: Testing a General Theory of Crime

Keane, C., MAXIM, P. S., & Teevan, J. J. (1993) · Journal of Research in Crime and Delinquency · doi:10.1177/0022427893030001003 · Cited by 351

Bayesian Network Classifiers

Goldszmidt, M. (2011) · Wiley Encyclopedia of Operations Research and Management Science · doi:10.1002/9780470400531.eorms0099 · Cited by 351

Clinical Features of Idiopathic Gastroparesis Vary With Sex, Body Mass, Symptom Onset, Delay in Gastric Emptying, and Gastroparesis Severity

Parkman, H. P., Yates, K. P., Hasler, W. L., Nguyen, L. A. B., Pasricha, P. J., Snape, W. J., Farrugia, G., Koch, K. L., Abell, T. L., McCallum, R. W., et al. (2010) · Gastroenterology · doi:10.1053/j.gastro.2010.10.015 · Cited by 348

Analyzing Speech to Detect Financial Misreporting

Hobson, J. L., Mayew, W. J., & Venkatachalam, M. (2011) · Journal of Accounting Research · doi:10.1111/j.1475-679x.2011.00433.x · Cited by 343

MICE Models: Superior to the HERG Model in Predicting Torsade de Pointes

Kramer, J., Obejero‐Paz, C. A., Myatt, G. J., Kuryshev, Y. A., Bruening‐Wright, A., Verducci, J. S., & Brown, A. M. (2013) · Scientific Reports · doi:10.1038/srep02100 · Cited by 340

Abdominal Obesity and Body Mass Index as Risk Factors for Barrett’s Esophagus

Corley, D. A., Kubo, A., Levin, T. R., Block, G., Habel, L. A., Zhao, W. K., Leighton, P., Quesenberry, C. P., Rumore, G., & Buffler, P. A. (2007) · Gastroenterology · doi:10.1053/j.gastro.2007.04.046 · Cited by 348

NEIGHBORHOOD DISADVANTAGE AND POLICE NOTIFICATION BY VICTIMS OF VIOLENCE*

BAUMER, E. P. (2002) · Criminology · doi:10.1111/j.1745-9125.2002.tb00967.x · Cited by 279

Prevalence of overweight and obesity and their association with hypertension and diabetes mellitus in an Indo-Asian population

Jafar, T. H., Chaturvedi, N., & Pappas, G. (2006) · Canadian Medical Association Journal · doi:10.1503/cmaj.060464 · Cited by 347

Association of Carotid Artery Intima-Media Thickness, Plaques, and C-Reactive Protein With Future Cardiovascular Disease and All-Cause Mortality

Cao, J. J., Arnold, A. M., Manolio, T. A., Polak, J. F., Psaty, B. M., Hirsch, C. H., Kuller, L. H., & Cushman, M. (2007) · Circulation · doi:10.1161/circulationaha.106.645606 · Cited by 348

Development of a dedicated risk-adjustment scoring system for colorectal surgery (colorectal POSSUM)

Tekkis, P. P., Prytherch, D. R., Kocher, H. M., Senapati, A., Poloniecki, J. D., Stamatakis, J. D., & Windsor, A. C. J. (2004) · British journal of surgery · doi:10.1002/bjs.4430 · Cited by 347

Focusing on desired outcomes of care after colon cancer resections; hospital variations in ‘textbook outcome’

Kolfschoten, N. E., Kievit, J., Gooiker, G. A., van Leersum, N. J., Snijders, H. S., Eddes, E. H., Tollenaar, R. A. �. �., Wouters, M. W. J. M., & de Mheen, P. J. M. (2012) · European Journal of Surgical Oncology · doi:10.1016/j.ejso.2012.10.007 · Cited by 346

MGMT methylation analysis of glioblastoma on the Infinium methylation BeadChip identifies two distinct CpG regions associated with gene silencing and outcome, yielding a prediction model for comparisons across datasets, tumor grades, and CIMP-status

Bady, P., Sciuscio, D., Diserens, A., Bloch, J., van den Bent, M. J., Marosi, C., Dietrich, P.-Y., Weller, M., Mariani, L., Heppner, F. L., et al. (2012) · Acta Neuropathologica · doi:10.1007/s00401-012-1016-2 · Cited by 351

Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area

Mohajane, M., Costache, R. D., Karimi, F., Pham, Q. B., Essahlaoui, A., Nguyen, H., Laneve, G., & Oudija, F. (2021) · Ecological Indicators · doi:10.1016/j.ecolind.2021.107869 · Cited by 365

Principles for modeling propensity scores in medical research: a systematic literature review

Weitzen, S. H., Lapane, K. L., Toledano, A. Y., Hume, A. L., & Mor, V. (2004) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.969 · Cited by 344

An evaluation of access to health care services along the rural-urban continuum in Canada

Sibley, L. M., & Weiner, J. P. (2011) · BMC Health Services Research · doi:10.1186/1472-6963-11-20 · Cited by 341

Childhood forecasting of a small segment of the population with large economic burden

Caspi, A., Houts, R., Belsky, D. W., Harrington, H., Hogan, S., Ramrakha, S., Poulton, R., & Moffitt, T. (2016) · Nature Human Behaviour · doi:10.1038/s41562-016-0005 · Cited by 302

Mining corporate annual reports for intelligent detection of financial statement fraud – A comparative study of machine learning methods

Hájek, P., & Henriques, R. (2017) · Knowledge-Based Systems · doi:10.1016/j.knosys.2017.05.001 · Cited by 383

Comorbidity of eczema, rhinitis, and asthma in IgE-sensitised and non-IgE-sensitised children in MeDALL: a population-based cohort study

Pinart, M., Benet, M., Annesi-Maesano, I., von Berg, A., Berdel, D., Carlsen, K. C. L., Carlsen, K.-H., Bindslev-Jensen, C., Eller, E., Fantini, M. P., et al. (2014) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(13)70277-7 · Cited by 334

Effects of habitat fragmentation on avian nesting success: a review of the evidence at multiple spatial scales

Stephens, S. E., Koons, D. N., Rotella, J. J., & Willey, D. W. (2003) · Biological Conservation · doi:10.1016/s0006-3207(03)00098-3 · Cited by 338

Unilateral Hearing Loss Is Associated With Worse Speech-Language Scores in Children

Lieu, J. E. C., Tye‐Murray, N., Karzon, R. K., & Piccirillo, J. F. (2010) · PEDIATRICS · doi:10.1542/peds.2009-2448 · Cited by 336

A Multifactorial Approach to Understanding Fall Risk in Older People

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