Applied Logistic Regression Analysis

Combat Duty in Iraq and Afghanistan, Mental Health Problems, and Barriers to Care

Hoge, C. W., Castro, C. A., Messer, S. C., McGurk, D., Cotting, D. I., & Koffman, R. L. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040603 · Cited by 4,778

Impacts of the COVID-19 pandemic on life of higher education students: A global perspective

Aristovnik, A., Keržič, D., Ravšelj, D., Tomaževič, N., & Umek, L. (2020) · Sustainability · doi:10.3390/su12208438 · Cited by 2,047

American Academy of Clinical Neuropsychology Consensus Conference Statement on the Neuropsychological Assessment of Effort, Response Bias, and Malingering

Heilbronner, R. L., Sweet, J. J., Morgan, J. E., Larrabee, G. J., Millis, S. R., & Participants1, C. (2009) · The Clinical Neuropsychologist · doi:10.1080/13854040903155063 · Cited by 869

The impact of psychological readiness to return to sport and recreational activities after anterior cruciate ligament reconstruction

Ardern, C. L., Österberg, A., Tagesson, S., Gauffin, H., Webster, K. E., & Kvist, J. (2014) · British Journal of Sports Medicine · doi:10.1136/bjsports-2014-093842 · Cited by 489

Higher education students’ perceptions of ChatGPT: A global study of early reactions

Ravšelj, D., Keržič, D., Tomaževič, N., Umek, L., Brezovar, N., A. Iahad, N., Abdulla, A. A., Akopyan, A., Aldana Segura, M. W., AlHumaid, J., et al. (2025) · PLOS ONE · doi:10.1371/journal.pone.0315011 · Cited by 376

The factors predicting stress, anxiety and depression in the parents of children with autism

Falk, N. H., Norris, K., & Quinn, M. G. (2014) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-014-2189-4 · Cited by 369

Spatial decomposition of predation risk using resource selection functions: an example in a wolf–elk predator–prey system

Hebblewhite, M., Merrill, E. H., & McDonald, T. L. (2005) · Oikos · doi:10.1111/j.0030-1299.2005.13858.x · Cited by 342

White lie-telling in children for politeness purposes

Talwar, V., Murphy, S. M., & Lee, K. (2007) · International Journal of Behavioral Development · doi:10.1177/0165025406073530 · Cited by 313

Estimation of uniaxial compressive strength of rock materials by index tests using regression analysis and fuzzy inference system

Mishra, D. A., & Basu, A. (2013) · Engineering Geology · doi:10.1016/j.enggeo.2013.04.004 · Cited by 289

Gender differences in suicide methods

Callanan, V. J., & Davis, M. S. (2012) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-011-0393-5 · Cited by 258

Cyberbullying among high school students in Japan: Development and validation of the Online Disinhibition Scale

Udris, R. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.09.036 · Cited by 234

A rapid review and meta-regression analyses of the toxicological impacts of microplastic exposure in human cells

Danopoulos, E., Twiddy, M., West, R., & Rotchell, J. M. (2022) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2021.127861 · Cited by 230

Progressing to the Center: Coordinating Project Work

Dahlander, L., & O'Mahony, S. (2011) · Organization Science · doi:10.1287/orsc.1100.0571 · Cited by 211

Digital Language Death

Kornai, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0077056 · Cited by 210

Metaphors for the War (or Race) against Climate Change

Flusberg, S. J., Matlock, T., & Thibodeau, P. H. (2017) · Environmental Communication · doi:10.1080/17524032.2017.1289111 · Cited by 203

Sexual Compulsivity and Sexual Risk in Gay and Bisexual Men

Grov, C., Parsons, J. T., & Bimbi, D. S. (2010) · Archives of Sexual Behavior · doi:10.1007/s10508-009-9483-9 · Cited by 185

Estimates of projection overlap and zones of convergence within frontal-striatal circuits

Averbeck, B. B., Lehman, J., Jacobson, M., & Haber, S. N. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.5806-12.2014 · Cited by 179

Organizational adoption of e‐HRM in Europe: An empirical exploration of major adoption factors

Strohmeier, S., & Kabst, R. (2009) · Journal of Managerial Psychology · doi:10.1108/02683940910974099 · Cited by 142

DLATK: Differential Language Analysis ToolKit

Schwartz, H. A., Giorgi, S., Sap, M., Crutchley, P., Ungar, L., & Eichstaedt, J. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · doi:10.18653/v1/d17-2010 · Cited by 130

Proximate causes of deforestation in the Bolivian lowlands: an analysis of spatial dynamics

Müller, R., Müller, D., Schierhorn, F., Gerold, G., & Pacheco, P. (2012) · Regional Environmental Change · doi:10.1007/s10113-011-0259-0 · Cited by 114

Promotoras as Mental Health Practitioners in Primary Care: A Multi-Method Study of an Intervention to Address Contextual Sources of Depression

Waitzkin, H., Getrich, C., Heying, S., Rodríguez, L., Parmar, A., Willging, C., Yager, J., & Santos, R. (2011) · Journal of Community Health · doi:10.1007/s10900-010-9313-y · Cited by 98

Predictive validity of the Dundee multiple mini-interview

Husbands, A., & Dowell, J. (2013) · Medical Education · doi:10.1111/medu.12193 · Cited by 83

Clinician burnout associated with sex, clinician type, work culture, and use of electronic health records

McPeek-Hinz, E., Boazak, M., Sexton, J. B., Adair, K. C., West, V., Goldstein, B. A., Alphin, R. S., Idris, S., Hammond, W. E., Hwang, S. E., et al. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.5686 · Cited by 80

Toward Generalizable Machine Learning Models in Speech, Language, and Hearing Sciences: Estimating Sample Size and Reducing Overfitting

Ghasemzadeh, H., Hillman, R. E., & Mehta, D. D. (2024) · Journal of Speech, Language, and Hearing Research · doi:10.1044/2023_jslhr-23-00273 · Cited by 72

Understanding teachers'reporting of child sexual abuse: Measurement methods matter

Walsh, K., Mathews, B., Rassafiani, M., Farrell, A., & Butler, D. (2012) · Children and Youth Services Review · doi:10.1016/j.childyouth.2012.06.004 · Cited by 74

IL-1 receptor antagonist gene as a predictive biomarker of progression of knee osteoarthritis in a population cohort

Wu, X., Kondragunta, V., Kornman, K. S., Wang, H. Y., Duff, G. W., Renner, J. B., & Jordan, J. M. (2013) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2013.04.003 · Cited by 60

Metacognitions, worry and attentional control in predicting OSCE performance test anxiety

O’Carroll, P. J., & Fisher, P. (2013) · Medical Education · doi:10.1111/medu.12125 · Cited by 62

Maternal Fatty Acid Status During Pregnancy and Child Autistic Traits: The Generation R Study

Steenweg-de Graaff, J., Tiemeier, H., Ghassabian, A., Rijlaarsdam, J., Jaddoe, V. W. V., Verhulst, F. C., & Roza, S. J. (2016) · American Journal of Epidemiology · doi:10.1093/aje/kwv263 · Cited by 49

Acceptability of internet-based interventions for depression in Indonesia

Arjadi, R., Nauta, M. H., & Bockting, C. L. H. (2018) · Internet Interventions · doi:10.1016/j.invent.2018.04.004 · Cited by 44

Costly Signaling and Gendered Social Strategies among Slaves in the Eighteenth-Century Chesapeake: An Archaeological Perspective

Galle, J. E. (2010) · American Antiquity · doi:10.7183/0002-7316.75.1.19 · Cited by 48

Epistemic Uncertainty Sampling

Nguyen, V.-L., Destercke, S., & Hüllermeier, E. (2019) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-33778-0_7 · Cited by 48

Avoiding overstating the strength of forensic evidence: Shrunk likelihood ratios/Bayes factors

Morrison, G. S., & Poh, N. (2018) · Science & Justice · doi:10.1016/j.scijus.2017.12.005 · Cited by 47

Juvenile Transfer and Deterrence: Reexamining the Effectiveness of a "Get-Tough" Policy

Jordan, K. L., & Myers, D. L. (2011) · Crime & Delinquency · doi:10.1177/0011128708319111 · Cited by 40

Determinants of recent online purchasing and the percentage of income spent online.

Hannah, B., & Lybecker, K. M. (2010) · International Business Research · doi:10.5539/ibr.v3n4p60 · Cited by 40

Automatic classification of literature in systematic reviews on food safety using machine learning

van den Bulk, L. M., Bouzembrak, Y., Gavai, A., Liu, N., van den Heuvel, L. J., & Marvin, H. J. P. (2022) · Current Research in Food Science · doi:10.1016/j.crfs.2021.12.010 · Cited by 38

Too Late for Luck: A Comparison of Post-Furman Exonerations and Executions of the Innocent

Harmon, T. R., & Lofquist, W. S. (2005) · Crime & Delinquency · doi:10.1177/0011128705275977 · Cited by 27

What Matters Most? Assessing the Influence of Demographic Characteristics, College-Specific Risk Factors, and Poly-drug Use on Nonmedical Prescription Drug Use

Lanier, C., & Farley, E. J. (2011) · Journal of American College Health · doi:10.1080/07448481.2010.546463 · Cited by 24

Intolerance of Uncertainty and Eating Disorder Symptoms Over the Course of Intensive Treatment

Reilly, E. E., Perry, T. R., Brown, T. A., Wierenga, C. E., & Kaye, W. H. (2021) · Behavior Therapy · doi:10.1016/j.beth.2020.09.002 · Cited by 19

Association of regional socioeconomic deprivation and rurality with global developmental delay in early childhood: Data from mandatory school entry examinations in Germany

Hoffmann, S., Tschorn, M., Michalski, N., Hoebel, J., Förstner, B. R., Rapp, M. A., & Spallek, J. (2022) · Health & Place · doi:10.1016/j.healthplace.2022.102794 · Cited by 17

Risk and protective factors for children's psychopathology in the context of domestic violence – A study using nationally representative longitudinal survey data

Skafida, V., & Devaney, J. (2023) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2022.105991 · Cited by 16

Baseline predictors of treatment outcome in Internet-based alcohol interventions: a recursive partitioning analysis alongside a randomized trial

Blankers, M., Koeter, M. W., & Schippers, G. M. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-455 · Cited by 14

Efficacy of personalized models in discriminating high cognitive demand conditions using text-based interactions

Vizer, L. M., & Sears, A. (2017) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2017.03.001 · Cited by 12

Diagnosis of disease affecting gait with a body acceleration-based model using reflected marker data for training and a wearable accelerometer for implementation

Takallou, M. A., Fallahtafti, F., Hassan, M., Al-Ramini, A., Qolomany, B., Pipinos, I., Myers, S., & Alsaleem, F. (2024) · Scientific Reports · doi:10.1038/s41598-023-50727-8 · Cited by 11

Barrier and corridor effects in cost-distance-based accessibility approximation for LUCC modelling: a case study of Slovakia from 2000 to 2018

Rusinko, A., & Druga, M. (2022) · Landscape Research · doi:10.1080/01426397.2021.2009785 · Cited by 6

Market channel options for smallholders in dual markets: A case of organic pineapple farmers in Uganda

Harriet, K., Ernst-August, N., & Johnny, M. (2019) · Journal of Development and Agricultural Economics · doi:10.5897/jdae2019.1067 · Cited by 5