Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis

Comparison of dual-energy X-ray absorptiometry, air displacement plethysmography and bioelectrical impedance analysis for the assessment of body composition in severely obese Caucasian children and adolescents

Lazzer, S., Bedogni, G., Agosti, F., De Col, A., Mornati, D., & Sartorio, A. (2008) · British Journal of Nutrition · doi:10.1017/s0007114508922558 · Cited by 106

Predicting Distributions of Invasive Species

Elith, J. (2017) · Invasive Species · doi:10.1017/9781139019606.006 · Cited by 106

Risk Factors for the Development of Esophageal Adenocarcinoma in Barrett's Esophagus

de Jonge, P. J. F., Steyerberg, E. W., Kuipers, E. J., Honkoop, P., Wolters, L. M. M., Kerkhof, M., van Dekken, H., & Siersema, P. D. (2006) · The American Journal of Gastroenterology · doi:10.1111/j.1572-0241.2006.00626.x · Cited by 104

Body mass index and common mental disorders: exploring the shape of the association and its moderation by age, gender and education

McCrea, R. L., Berger, Y. G., & King, M. B. (2012) · International Journal of Obesity · doi:10.1038/ijo.2011.65 · Cited by 101

Dietary inflammatory index and type 2 diabetes risk in a prospective cohort of 70,991 women followed for 20 years: the mediating role of BMI

Laouali, N., Mancini, F. R., Hajji-Louati, M., El Fatouhi, D., Balkau, B., Boutron-Ruault, M.-C., Bonnet, F., & Fagherazzi, G. (2019) · Diabetologia · doi:10.1007/s00125-019-04972-0 · Cited by 101

Signatures of Subacute Potentially Catastrophic Illness in the ICU: Model Development and Validation*

Moss, T. J., Lake, D. E., Calland, J. F., Enfield, K. B., Delos, J. B., Fairchild, K. D., & Moorman, J. R. (2016) · Critical Care Medicine · doi:10.1097/ccm.0000000000001738 · Cited by 98

Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory

Kruppa, J., Liu, Y., Biau, G., Kohler, M., König, I. R., Malley, J. D., & Ziegler, A. (2014) · Biometrical Journal · doi:10.1002/bimj.201300068 · Cited by 97

Parentification of Adult Siblings of Individuals with Autism Spectrum Disorder

Tomeny, T. S., Barry, T. D., Fair, E. C., & Riley, R. (2017) · Journal of Child and Family Studies · doi:10.1007/s10826-016-0627-y · Cited by 95

Comparison of etomidate and ketamine for induction during rapid sequence intubation of adult trauma patients

Upchurch, C. P., Grijalva, C. G., Russ, S., Collins, S. P., Semler, M. W., Rice, T. W., Liu, D., Ehrenfeld, J. M., High, K., Barrett, T. W., et al. (2017) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2016.08.009 · Cited by 94

External validation of prognostic models for critically ill patients required substantial sample sizes

Peek, N., Arts, D. G. T., Bosman, R. J., van der Voort, P. H. J., & de Keizer, N. F. (2007) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2006.08.011 · Cited by 92

Childhood Antecedents Of Hypochondriasis

Noyes, R., Stuart, S., Langbehn, D. R., Happel, R. L., Longley, S. L., & Yagla, S. J. (2002) · Psychosomatics · doi:10.1176/appi.psy.43.4.282 · Cited by 92

Maternal Exposure to PM 2.5 and the Risk of Congenital Heart Defects in 1.4 Million Births: A Nationwide Surveillance-Based Study

Yuan, X., Liang, F., Zhu, J., Huang, K., Dai, L., Li, X., Wang, Y., Li, Q., Lu, X., Huang, J., et al. (2023) · Circulation · doi:10.1161/circulationaha.122.061245 · Cited by 93

The diabetes nutrition education study randomized controlled trial: a comparative effectiveness study of approaches to nutrition in diabetes self-management education

Bowen, M. E., Cavanaugh, K. L., Wolff, K., Davis, D., Gregory, R. P., Shintani, A., Eden, S., Wallston, K., Elasy, T., & Rothman, R. L. (2016) · Patient Education and Counseling · doi:10.1016/j.pec.2016.03.017 · Cited by 89

Resilience, preparedness, and distress among family caregivers of patients with advanced cancer

Dionne-Odom, J. N., Azuero, A., Taylor, R. A., Wells, R. D., Hendricks, B. A., Bechthold, A. C., Reed, R. D., Harrell, E. R., Dosse, C. K., Engler, S., et al. (2021) · Supportive Care in Cancer · doi:10.1007/s00520-021-06265-y · Cited by 89

Health-related quality of life in ALS, myasthenia gravis and facioscapulohumeral muscular dystrophy

Winter, Y., Schepelmann, K., Spottke, A. E., Claus, D., Grothe, C., Schröder, R., Heuss, D., Vielhaber, S., Tackenberg, B., Mylius, V., et al. (2010) · Journal of Neurology · doi:10.1007/s00415-010-5549-9 · Cited by 86

A spline-based tool to assess and visualize the calibration of multiclass risk predictions

Van Hoorde, K., Van Huffel, S., Timmerman, D., Bourne, T., & Van Calster, B. (2015) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2014.12.016 · Cited by 85

Stable reliability diagrams for probabilistic classifiers

Dimitriadis, T., Gneiting, T., & Jordan, A. I. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2016191118 · Cited by 84

Distribución en España del cuidado formal e informal a las personas de 65 y más años en situación de dependencia

Rogero-García, J. (2009) · Revista Española de Salud Pública · doi:10.1590/s1135-57272009000300005 · Cited by 83

Autonomic markers and cardiovascular and arrhythmic events in heart failure patients: Still a place in prognostication? Data from the GISSI-HF trial

La Rovere, M. T., Pinna, G. D., Maestri, R., Barlera, S., Bernardinangeli, M., Veniani, M., Nicolosi, G. L., Marchioli, R., Tavazzi, L., & for the GISSI-HF Investigators (2012) · European Journal of Heart Failure · doi:10.1093/eurjhf/hfs126 · Cited by 82

Using the IUCN Red List to determine effective conservation strategies

Hayward, M. W. (2011) · Biodiversity and Conservation · doi:10.1007/s10531-011-0091-3 · Cited by 80

Suicidality and Associated Risk Factors Among Lesbian, Gay, and Bisexual Compared to Heterosexual Austrian Adults

Plöderl, M., & Fartacek, R. (2005) · Suicide and Life-Threatening Behavior · doi:10.1521/suli.2005.35.6.661 · Cited by 80

Fusing Bird’s Eye View LIDAR Point Cloud and Front View Camera Image for 3D Object Detection

Wang, Z., Zhan, W., & Tomizuka, M. (2018) · 2018 IEEE Intelligent Vehicles Symposium (IV) · doi:10.1109/ivs.2018.8500387 · Cited by 81

Stalls in fertility transitions in sub-Saharan Africa: revisiting the evidence

Schoumaker, B. (2019) · Studies in Family Planning · doi:10.1111/sifp.12098 · Cited by 77

External prognostic validations and comparisons of age- and gender-adjusted exercise capacity predictions.

Kim, E. S. H., Ishwaran, H., Blackstone, E., & Lauer, M. S. (2007) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2007.08.003 · Cited by 77

Explaining educational inequalities in preterm birth: the generation r study

Jansen, P. W., Tiemeier, H., Jaddoe, V. W. V., Hofman, A., Steegers, E. A. P., Verhulst, F. C., Mackenbach, J. P., & Raat, H. (2009) · Archives of Disease in Childhood - Fetal and Neonatal Edition · doi:10.1136/adc.2007.136945 · Cited by 74

Narrow intra-individual variation of maternal thyroid function in pregnancy based on a longitudinal study on 132 women

Boas, M., Forman, J. L., Juul, A., Feldt-Rasmussen, U., Skakkebæk, N. E., Hilsted, L., Chellakooty, M., Larsen, T., Larsen, J. F., Petersen, J. H., et al. (2009) · European Journal of Endocrinology · doi:10.1530/eje-09-0579 · Cited by 74

A comparison of methods to adjust for continuous covariates in the analysis of randomised trials

Kahan, B. C., Rushton, H., Morris, T. P., & Daniel, R. M. (2016) · BMC Medical Research Methodology · doi:10.1186/s12874-016-0141-3 · Cited by 74

Meta‐analysis and aggregation of multiple published prediction models

Debray, T. P. A., Koffijberg, H., Nieboer, D., Vergouwe, Y., Steyerberg, E. W., & Moons, K. G. M. (2014) · Statistics in Medicine · doi:10.1002/sim.6080 · Cited by 73

Relation of change or substitution of low- and no-calorie sweetened beverages with cardiometabolic outcomes: a systematic review and meta-analysis of prospective cohort studies

Lee, J. J., Khan, T. A., McGlynn, N., Malik, V. S., Hill, J. O., Leiter, L. A., Jeppesen, P. B., Rahelić, D., Kahleová, H., Salas-Salvadó, J., et al. (2022) · Diabetes Care · doi:10.2337/dc21-2130 · Cited by 73

Factors associated with dental care utilization in early childhood

Darmawikarta, D., Chen, Y., Carsley, S., Birken, C. S., Parkin, P. C., Schroth, R. J., Maguire, J. L., & on behalf of the TARGet Kids! Collaboration (2014) · PEDIATRICS · doi:10.1542/peds.2013-3725 · Cited by 60

Prognostic factors for perceived recovery or functional improvement in non-specific low back pain: secondary analyses of three randomized clinical trials

Helmhout, P. H., Staal, J. B., Heymans, M. W., Harts, C. C., Hendriks, E. J. M., & de Bie, R. A. (2010) · European Spine Journal · doi:10.1007/s00586-009-1254-8 · Cited by 71

Randomized controlled trial of internet-delivered cognitive behaviour therapy comparing standard weekly versus optional weekly therapist support

Hadjistavropoulos, H. D., Schneider, L. H., Edmonds, M., Karin, E., Nugent, M. N., Dirkse, D., Dear, B. F., & Titov, N. (2017) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2017.09.006 · Cited by 71

Coping and positive affect predict longitudinal change in glycosylated hemoglobin.

Tsenkova, V. K., Dienberg Love, G., Singer, B. H., & Ryff, C. D. (2008) · Health Psychology · doi:10.1037/0278-6133.27.2(suppl.).s163 · Cited by 69

Prognostic factors for time to treatment failure and time to 12 months of remission for patients with focal epilepsy: post-hoc, subgroup analyses of data from the SANAD trial

Bonnett, L., Smith, C. T., Smith, D., Williamson, P., Chadwick, D., & Marson, A. G. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70018-2 · Cited by 69

Systematic Review and Validation of Prognostic Models in Liver Transplantation

Jacob, M., Lewsey, J. D., Sharpin, C., Gimson, A., Rela, M., & van der Meulen, J. H. P. (2005) · Liver Transplantation · doi:10.1002/lt.20456 · Cited by 68

Polymorphisms in BDNF (Val66Met) and 5-HTTLPR, morning cortisol and subsequent depression in at-risk adolescents

Goodyer, I. M., Croudace, T., Dudbridge, F., Ban, M., & Herbert, J. (2010) · British Journal of Psychiatry · doi:10.1192/bjp.bp.110.077750 · Cited by 67

Health literacy and digital health information-seeking behavior-a cross-sectional study among highly educated Swedes

Sundell, E., Wångdahl, J., & Grauman, Å. (2022) · BMC Public Health · doi:10.1186/s12889-022-14751-z · Cited by 56

Traffic pollution is associated with early childhood aeroallergen sensitization

Codispoti, C. D., LeMasters, G. K., Levin, L., Reponen, T., Ryan, P. H., Biagini Myers, J. M., Villareal, M., Burkle, J., Evans, S., Lockey, J. E., et al. (2015) · Annals of Allergy, Asthma & Immunology · doi:10.1016/j.anai.2014.10.020 · Cited by 65

Use of alternative thresholds defining insulin resistance to predict incident type 2 diabetes mellitus and cardiovascular disease

Rutter, M. K., Wilson, P. W. F., Sullivan, L. M., Fox, C. S., D’Agostino, R. B., & Meigs, J. B. (2008) · Circulation · doi:10.1161/circulationaha.107.727727 · Cited by 64

Predicting the Restenosis Benefit of Drug-Eluting Versus Bare Metal Stents in Percutaneous Coronary Intervention

Yeh, R. W., Normand, S.-L. T., Wolf, R. E., Jones, P. G., Ho, K. K. L., Cohen, D. J., Cutlip, D. E., Mauri, L., Kugelmass, A. D., Amin, A. P., et al. (2011) · Circulation · doi:10.1161/circulationaha.111.045229 · Cited by 63

Socioeconomic Status and Psychological Well-Being Predict Cross-Time Change in Glycosylated Hemoglobin in Older Women Without Diabetes

Tsenkova, V. K., Love, G. D., Singer, B. H., & Ryff, C. D. (2007) · Psychosomatic Medicine · doi:10.1097/psy.0b013e318157466f · Cited by 63

Main Determinants of Lapse in the German Life Insurance Industry

Kiesenbauer, D. (2012) · North American Actuarial Journal · doi:10.1080/10920277.2012.10590632 · Cited by 62

Contrast enhancement is a prognostic factor in IDH1/2 mutant, but not in wild-type WHO grade II/III glioma as confirmed by machine learning

Suchorska, B., Schüller, U., Biczok, A., Lenski, M., Albert, N. L., Giese, A., Kreth, F.-W., Ertl-Wagner, B., Tonn, J.-C., & Ingrisch, M. (2019) · European Journal of Cancer · doi:10.1016/j.ejca.2018.10.019 · Cited by 59

Diabetic neuropathy is a substantial burden in people with type 1 diabetes and is strongly associated with socioeconomic disadvantage: A population-representative study from Scotland

Jeyam, A., McGurnaghan, S. J., Blackbourn, L. A. K., McKnight, J. M., Green, F., Collier, A., McKeigue, P. M., & Colhoun, H. M. (2020) · Diabetes Care · doi:10.2337/dc19-1582 · Cited by 59

Optimal dose and type of physical activity to improve functional capacity and minimise adverse events in acutely hospitalised older adults: a systematic review with dose-response network meta-analysis of randomised controlled trials

Gallardo-Gómez, D., del Pozo-Cruz, J., Pedder, H., Alfonso-Rosa, R. M., Álvarez-Barbosa, F., Noetel, M., Jasper, U., Chastin, S., Ramos-Munell, J., & del Pozo Cruz, B. (2023) · British Journal of Sports Medicine · doi:10.1136/bjsports-2022-106409 · Cited by 59

Risk factors for exclusive breastfeeding lasting less than two months—Identifying women in need of targeted breastfeeding support

Cato, K., Sylvén, S. M., Lindbäck, J., Skalkidou, A., & Rubertsson, C. (2017) · PLOS ONE · doi:10.1371/journal.pone.0179402 · Cited by 55

Association between ultra-processed food consumption and cognitive performance in US older adults: a cross-sectional analysis of the NHANES 2011–2014

R Cardoso, B., Machado, P., & Steele, E. M. (2022) · European Journal of Nutrition · doi:10.1007/s00394-022-02911-1 · Cited by 56

Individual, parent and social–environmental correlates of caregiving experiences among parents of adults with autism spectrum disorder

Burke, M., & Heller, T. (2016) · Journal of Intellectual Disability Research · doi:10.1111/jir.12271 · Cited by 54

Chinese L1 children's English L2 verb morphology over time: individual variation in long-term outcomes

PARADIS, J., TULPAR, Y., & ARPPE, A. (2016) · Journal of Child Language · doi:10.1017/s0305000915000562 · Cited by 55

Sleep Characteristics and Daytime Cortisol Levels in Older Adults

Morgan, E., Schumm, L. P., McClintock, M., Waite, L., & Lauderdale, D. S. (2017) · Sleep · doi:10.1093/sleep/zsx043 · Cited by 52

Parentification of adult siblings of individuals with autism spectrum disorder: Distress, sibling relationship attitudes, and the role of social support

Tomeny, T. S., Barry, T. D., & Fair, E. C. (2017) · Journal of Intellectual & Developmental Disability · doi:10.3109/13668250.2016.1248376 · Cited by 53

Evaluation of Coseasonality of Influenza and Invasive Pneumococcal Disease: Results from Prospective Surveillance

Kuster, S. P., Tuite, A. R., Kwong, J. C., McGeer, A., the Toronto Invasive Bacterial Diseases Network, & Fisman, D. N. (2011) · PLoS Medicine · doi:10.1371/journal.pmed.1001042 · Cited by 52

Prospective Cohort Study of Uterine Fibroids and Miscarriage Risk

Hartmann, K. E., Velez Edwards, D. R., Savitz, D. A., Jonsson-Funk, M. L., Wu, P., Sundermann, A. C., & Baird, D. D. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx062 · Cited by 51

Developing and Evaluating Prediction Models in Rehabilitation Populations

Seel, R. T., Steyerberg, E. W., Malec, J. F., Sherer, M., & Macciocchi, S. N. (2012) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2012.04.021 · Cited by 49

Prospective evaluation of an automated method to identify patients with severe sepsis or septic shock in the emergency department

Brown, S. M., Jones, J., Kuttler, K. G., Keddington, R. K., Allen, T. L., & Haug, P. (2016) · BMC Emergency Medicine · doi:10.1186/s12873-016-0095-0 · Cited by 45

Survival in pulmonary arterial hypertension patients awaiting lung transplantation

Gomberg-Maitland, M., Glassner-Kolmin, C., Watson, S., Frantz, R., Park, M., Frost, A., Benza, R. L., & Torres, F. (2013) · The Journal of Heart and Lung Transplantation · doi:10.1016/j.healun.2013.08.016 · Cited by 47

Daily step count and incident diabetes in community-dwelling 70-year-olds: a prospective cohort study

Ballin, M., Nordström, P., Niklasson, J., Alamäki, A., Condell, J., Tedesco, S., & Nordström, A. (2020) · BMC Public Health · doi:10.1186/s12889-020-09929-2 · Cited by 47

Reduced Cerebral Perfusion Pressure during Lung Transplant Surgery Is Associated with Risk, Duration, and Severity of Postoperative Delirium

Smith, P. J., Blumenthal, J. A., Hoffman, B. M., Rivelli, S. K., Palmer, S. M., Davis, R. D., & Mathew, J. P. (2016) · Annals of the American Thoracic Society · doi:10.1513/annalsats.201507-454oc · Cited by 46

Sleep Apnea Increases the Risk of New Hospitalized Atrial Fibrillation

Kendzerska, T., Gershon, A. S., Atzema, C., Dorian, P., Mangat, I., Hawker, G., & Leung, R. S. (2018) · Chest · doi:10.1016/j.chest.2018.08.1075 · Cited by 45

Association of moderate and vigorous physical activity with incidence of type 2 diabetes and subsequent mortality: 27 year follow-up of the Whitehall II study

Yerramalla, M. S., Fayosse, A., Dugravot, A., Tabak, A. G., Kivimäki, M., Singh-Manoux, A., & Sabia, S. (2020) · Diabetologia · doi:10.1007/s00125-019-05050-1 · Cited by 45

Predictability of persistent frequent attendance: a historic 3-year cohort study

Smits, F. T., Brouwer, H. J., van Weert, H. C., Schene, A. H., & ter Riet, G. (2009) · British Journal of General Practice · doi:10.3399/bjgp09x395120 · Cited by 44

Association of body mass index with lung transplantation survival in the United States following implementation of the lung allocation score

Fernandez, R., Safaeinili, N., Kurihara, C., Odell, D. D., Jain, M., DeCamp, M. M., Budinger, G. R. S., & Bharat, A. (2018) · The Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2017.11.031 · Cited by 44

Glycemic control and all-cause mortality risk in type 1 diabetes patients: the EURODIAB Prospective Complications Study

Schoenaker, D. A. J. M., Simon, D., Chaturvedi, N., Fuller, J. H., Soedamah-Muthu, S. S., & the EURODIAB Prospective Complications Study Group (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2013-2824 · Cited by 43

Investigating the impact of trial retractions on the healthcare evidence ecosystem (VITALITY Study I): retrospective cohort study

Xu, C., Fan, S., Tian, Y., Liu, F., Furuya-Kanamori, L., Clark, J., Zhang, C., Li, S., Lin, L., Chu, H., et al. (2025) · BMJ · doi:10.1136/bmj-2024-082068 · Cited by 39

The Pain Course: exploring predictors of clinical response to an Internet-delivered pain management program

Dear, B. F., Gandy, M., Karin, E., Ricciardi, T., Langman, N., Staples, L. G., Fogliati, V. J., Sharpe, L., McLellan, L. F., & Titov, N. (2016) · Pain · doi:10.1097/j.pain.0000000000000639 · Cited by 40

Personality and Physician-Assessed Illness Burden in Older Primary Care Patients Over 4 Years

Chapman, B. P., Roberts, B., Lyness, J., & Duberstein, P. (2013) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2012.11.013 · Cited by 40

Predictive accuracy of novel risk factors and markers: A simulation study of the sensitivity of different performance measures for the Cox proportional hazards regression model

Austin, P. C., Pencinca, M. J., & Steyerberg, E. W. (2017) · Statistical Methods in Medical Research · doi:10.1177/0962280214567141 · Cited by 39

Intima-media thickness and age of first depressive episode

Smith, P. J., Blumenthal, J. A., Babyak, M. A., Doraiswamy, P. M., Hinderliter, A., Hoffman, B. M., Waugh, R., & Sherwood, A. (2009) · Biological Psychology · doi:10.1016/j.biopsycho.2008.11.001 · Cited by 39

Assessing the incremental role of novel and emerging risk factors.

Cook, N. R. (2010) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-010-0084-x · Cited by 39

Factors influencing unexpected disposition after orthopedic ambulatory surgery

Memtsoudis, S. G., Ma, Y., Swamidoss, C. P., Edwards, A. M., Mazumdar, M., & Liguori, G. A. (2012) · Journal of Clinical Anesthesia · doi:10.1016/j.jclinane.2011.10.002 · Cited by 38

Perceived Increase in Mortality After Process and Policy Changes Implemented With Computerized Physician Order Entry

Rosenbloom, S. T., Harrell, F. E., Lehmann, C. U., Schneider, J. H., Spooner, S. A., & Johnson, K. B. (2006) · Pediatrics · doi:10.1542/peds.2005-3163 · Cited by 38

Cardiopulmonary Fitness Is Associated with Cognitive Performance in Patients with Coronary Artery Disease

Swardfager, W., Herrmann, N., Marzolini, S., Saleem, M., Kiss, A., Shammi, P., Oh, P. I., & Lanctôt, K. L. (2010) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2010.02966.x · Cited by 37

Attended/unattended this in academic student writing: Quantitative and qualitative perspectives

Wulff, Römer, & Swales (2012) · Corpus Linguistics and Linguistic Theory · doi:10.1515/cllt-2012-0006 · Cited by 36

Dementia and the risk of short-term readmission and mortality after a pneumonia admission

Graversen, S. B., Pedersen, H. S., Sandbaek, A., Foss, C. H., Palmer, V. J., & Ribe, A. R. (2021) · PLOS ONE · doi:10.1371/journal.pone.0246153 · Cited by 34

Prevalence and Predictors of Colposcopic-Histopathologically Confirmed Cervical Intraepithelial Neoplasia in HIV-Infected Women in India

Sahasrabuddhe, V. V., Bhosale, R. A., Joshi, S. N., Kavatkar, A. N., Nagwanshi, C. A., Kelkar, R. S., Jenkins, C. A., Shepherd, B. E., Sahay, S., Risbud, A. R., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0008634 · Cited by 33

Dietary and Circulating Long-Chain Omega-3 Polyunsaturated Fatty Acids and Mortality Risk after Myocardial Infarction: A Long-Term Follow-up of the Alpha Omega Cohort

Pertiwi, K., Küpers, L. K., de Goede, J., Zock, P. L., Kromhout, D., & Geleijnse, J. M. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.121.022617 · Cited by 32

Nomogram predicting the likelihood of complications after surgery for deep endometriosis without bowel involvement

Poupon, C., Owen, C., Arfi, A., Cohen, J., Bendifallah, S., & Daraï, E. (2019) · European Journal of Obstetrics & Gynecology and Reproductive Biology: X · doi:10.1016/j.eurox.2019.100028 · Cited by 31

Do changes in health reveal the possibility of undiagnosed pancreatic cancer? Development of a risk-prediction model based on healthcare claims data

Baecker, A., Kim, S., Risch, H. A., Nuckols, T. K., Wu, B. U., Hendifar, A. E., Pandol, S. J., Pisegna, J. R., & Jeon, C. Y. (2019) · PLOS ONE · doi:10.1371/journal.pone.0218580 · Cited by 31

The relationship between domain-specific subjective cognitive decline and Alzheimer's pathology in normal elderly adults

Shokouhi, S., Conley, A. C., Baker, S. L., Albert, K., Kang, H., Gwirtsman, H. E., & Newhouse, P. A. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.05.011 · Cited by 31

Targeting self-efficacy more important than dysfunctional behavioral cognitions in patients with longstanding chronic low back pain; a longitudinal study.

van Hooff, M. L., Vriezekolk, J. E., Kroeze, R. J., O’Dowd, J. K., van Limbeek, J., & Spruit, M. (2021) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-021-04637-3 · Cited by 28

Lung cancer risk at low cumulative asbestos exposure: meta-regression of the exposure–response relationship

van der Bij, S., Koffijberg, H., Lenters, V., Portengen, L., Moons, K. G. M., Heederik, D., & Vermeulen, R. C. H. (2013) · Cancer Causes & Control · doi:10.1007/s10552-012-0107-7 · Cited by 28

Overall glycaemic index and glycaemic load of habitual diet and risk of heart disease

Grau, K., Tetens, I., Bjørnsbo, K. S., & Heitman, B. L. (2011) · Public Health Nutrition · doi:10.1017/s136898001000176x · Cited by 26

The role of mindfulness and self-compassion in depressive symptoms and affect: A Comparison between Cancer Patients and Healthy Controls

van der Donk, L. J., Fleer, J., Tovote, A., Ranchor, A. V., Smink, A., Mul, V. E. M., Sanderman, R., & Schroevers, M. J. (2020) · Mindfulness · doi:10.1007/s12671-019-01298-1 · Cited by 25

Mouse sensitivity is an independent risk factor for rhinitis in children with asthma

Sedaghat, A. R., Matsui, E. C., Baxi, S. N., Bollinger, M. E., Miller, R., Perzanowski, M., & Phipatanakul, W. (2016) · The Journal of Allergy and Clinical Immunology: In Practice · doi:10.1016/j.jaip.2015.09.006 · Cited by 24

Predicting Postpartum Depressive Symptoms from Pregnancy Biopsychosocial Factors: A Longitudinal Investigation Using Structural Equation Modeling

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