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Citing this Article

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Published on 06.07.16 in Vol 18, No 7 (2016): July

This paper is in the following e-collection/theme issue:

Works citing "Are Randomized Controlled Trials the (G)old Standard? From Clinical Intelligence to Prescriptive Analytics"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5549):

(note that this is only a small subset of citations)

  1. Sharma R, Zhang C, Wingreen SC, Kshetri N, Zahid A. Design of Blockchain-based Precision Health-Care Using Soft Systems Methodology. Industrial Management & Data Systems 2019;120(3):608
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  2. . New Data of the Digital Age: Big, Dark, and Deep. AACN Advanced Critical Care 2017;28(3):239
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  3. Kashner TM, Henley SS, Golden RM, Zhou X. Making causal inferences about treatment effect sizes from observational datasets. Biostatistics & Epidemiology 2020;4(1):48
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  4. Amato MS, Papandonatos GD, Cha S, Wang X, Zhao K, Cohn AM, Pearson JL, Graham AL. Inferring Smoking Status from User Generated Content in an Online Cessation Community. Nicotine & Tobacco Research 2019;21(2):205
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  5. . Observational designs in clinical multiple sclerosis research: Particulars, practices and potentialities. Multiple Sclerosis and Related Disorders 2019;35:142
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  6. Liao X, Xie Y, Robinson N, Wang Y. To establish a body of evidence on safety for postmarketing Chinese medicine: A new research paradigm. Chinese Journal of Integrative Medicine 2017;23(3):226
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  7. Grogan KL, Goldsmith MP, Masino AJ, Nelson O, Tsui F, Simpao AF. A Narrative Review of Analytics in Pediatric Cardiac Anesthesia and Critical Care Medicine. Journal of Cardiothoracic and Vascular Anesthesia 2020;34(2):479
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  8. Voruganti T, Grunfeld E, Makuwaza T, Bender JL. Web-Based Tools for Text-Based Patient-Provider Communication in Chronic Conditions: Scoping Review. Journal of Medical Internet Research 2017;19(10):e366
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  9. Peek N, Rodrigues PP. Three controversies in health data science. International Journal of Data Science and Analytics 2018;6(3):261
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  10. Saarela M, Ryynänen O, Äyrämö S. Predicting hospital associated disability from imbalanced data using supervised learning. Artificial Intelligence in Medicine 2019;95:88
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  11. Frazzetto D, Nielsen TD, Pedersen TB, Šikšnys L. Prescriptive analytics: a survey of emerging trends and technologies. The VLDB Journal 2019;28(4):575
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  12. El Amrani L, Oude Engberink A, Ninot G, Hayot M, Carbonnel F. Connected Health Devices for Health Care in French General Medicine Practice: Cross-Sectional Study. JMIR mHealth and uHealth 2017;5(12):e193
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  13. East ML, Havard B, Hastings NB. Mental Health Mobile Apps’ Instruction: Technology Adoption Theories Applied in a Mixed Methods Study of Counseling Faculty. Journal of Technology in Human Services 2016;34(4):301
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  14. Chen Y, Chu CW, Chen MI, Cook AR. The utility of LASSO-based models for real time forecasts of endemic infectious diseases: A cross country comparison. Journal of Biomedical Informatics 2018;81:16
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  15. Marchioni M, Sountoulides P, Bada M, Rapisarda S, De Nunzio C, Tamburro FR, Schips L, Cindolo L. Abiraterone in chemotherapy-naive patients with metastatic castration-resistant prostate cancer: a systematic review of ‘real-life’ studies. Therapeutic Advances in Urology 2018;10(10):305
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  16. Cresswell K, Callaghan M, Khan S, Sheikh Z, Mozaffar H, Sheikh A. Investigating the use of data-driven artificial intelligence in computerised decision support systems for health and social care: A systematic review. Health Informatics Journal 2020;26(3):2138
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  17. Li P, Xie C, Pollard T, Johnson AEW, Cao D, Kang H, Liang H, Zhang Y, Liu X, Fan Y, Zhang Y, Xue W, Xie L, Celi LA, Zhang Z. Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon. JMIR Medical Informatics 2017;5(4):e43
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  18. Vitale A, Peck-Radosavljevic M, Giannini EG, Vibert E, Sieghart W, Van Poucke S, Pawlik TM. Personalized treatment of patients with very early hepatocellular carcinoma. Journal of Hepatology 2017;66(2):412
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  19. . Epistemologga de la Medicina: CCmo saben los mmdicos que lo que saben es verdadero? El saber mmdico en la era del saber inducido por la industria farmaccutica: El caso Vioxx (Medicine's Epistemology: How Do Doctors Know What They Know is True? The Medical Knowledge in the Era of Big Pharma-Induced Knowledge: The Vioxx Case). SSRN Electronic Journal 2018;
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  20. Cai M, Liu E, Zhang R, Lin X, Rigdon SE, Qian Z, Belue R, Chang JJ.

    Comparing the Performance of Charlson and Elixhauser Comorbidity Indices to Predict In-Hospital Mortality Among a Chinese Population

    . Clinical Epidemiology 2020;Volume 12:307
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  21. Lange JK, DiSegna ST, Yang W, Li W, Franklin PD. Using Cluster Analysis to Identify Patient Factors Linked to Differential Functional Gains After Total Knee Arthroplasty. The Journal of Arthroplasty 2020;35(1):121
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  22. Dremel C, Stoeckli E, Wulf J. Management of analytics-as-a-service - results from an action design research project. Journal of Business Analytics 2020;3(1):1
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  23. Jain N, Labaran L, Phillips FM, Khan SN, Jain A, Kebaish KM, Hassanzadeh H. Prevalence of Osteoporosis Treatment and Its Effect on Post-Operative Complications, Revision Surgery and Costs After Multi-Level Spinal Fusion. Global Spine Journal 2022;12(6):1119
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  24. Carvalho Laureano IC, Cabral Cavalcanti AF, Cavalcanti AL. Clinical Trials Developed in Brazil on Covid-19: What Is Being Researched?. Shiraz E-Medical Journal 2020;21(12)
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  25. Zeleke AA, Naziyok T, Fritz F, Christianson L, Röhrig R. Data Quality and Cost-effectiveness Analyses of Electronic and Paper-Based Interviewer-Administered Public Health Surveys: Systematic Review. Journal of Medical Internet Research 2021;23(1):e21382
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  26. Xu A, Prasad V. The use and meaning of the parachute metaphor in biomedicine: a citation analysis of a systematic review and a randomized trial of the parachute for freefall. Journal of Comparative Effectiveness Research 2022;11(6):383
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  27. Sharma R, Jones K, Anderson W, Inthiran A, Tabatabaee M. The digital transformation of higher education – “uni for nothin’, MOOCs for free”?. Journal of Information Technology Case and Application Research 2022;24(1):34
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  28. Harrer M, Cuijpers P, Schuurmans LKJ, Kaiser T, Buntrock C, van Straten A, Ebert D. Evaluation of randomized controlled trials: a primer and tutorial for mental health researchers. Trials 2023;24(1)
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  29. Zhang C, Nigo M, Patel S, Yu D, Septimus E, Wu H. Use of Real-World EMR Data to Rapidly Evaluate Treatment Effects of Existing Drugs for Emerging Infectious Diseases: Remdesivir for COVID-19 Treatment as an Example. Statistics in Biosciences 2024;
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5549):

  1. Feng Y, Lin S, Lin E, Farley L, Huang Y, Liu C. Health Information Science. 2019. Chapter 5:47
    CrossRef
  2. . Medical Quality Management. 2021. Chapter 3:33
    CrossRef
  3. El Morr C, Ali-Hassan H. Analytics in Healthcare. 2019. Chapter 2:15
    CrossRef
  4. Paul PV, Krishna H, L. J. Handbook of Research on Emerging Trends and Applications of Machine Learning. 2020. chapter 12:250
    CrossRef
  5. Urosevic V, Kovacevic A, Kaddachi F, Vukicevic M. Recent Applications in Data Clustering. 2018. Chapter 7
    CrossRef
  6. El Morr C, Jammal M, Ali-Hassan H, El-Hallak W. Machine Learning for Practical Decision Making. 2022. Chapter 1:1
    CrossRef
  7. Sminia P, Guipaud O, Viktorsson K, Ahire V, Baatout S, Boterberg T, Cizkova J, Dostál M, Fernandez-Palomo C, Filipova A, François A, Geiger M, Hunter A, Jassim H, Edin NFJ, Jordan K, Koniarová I, Selvaraj VK, Meade AD, Milliat F, Montoro A, Politis C, Savu D, Sémont A, Tichy A, Válek V, Vogin G. Radiobiology Textbook. 2023. Chapter 5:237
    CrossRef