A new measure of prognostic separation in survival data

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Items 101–200 of 450

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   R. Schoop, J. Beyersmann, M. Schumacher, H. Binder · 2011 · Biometrical journal. Biometrische Zeitschrift
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4. Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model
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5. Identifying women with suspected ovarian cancer in primary care: derivation and validation of algorithm
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6. Predicting 5-Year Risk of RRT in Stage 3 or 4 CKD: Development and External Validation
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7. Comparison of three lymph node staging schemes for predicting outcome in patients with gastric cancer
   Xilong Wang, D-H Appleby, X‐K Zhang, Lu Gan, J-J Wang, Fei Wan · 2013 · British journal of surgery
8. Individualising the risks of statins in men and women in England and Wales: population-based cohort study
   Julia Hippisley‐Cox, Carol A. C. Coupland · 2010 · Heart
9. The performance of seven QPrediction risk scores in an independent external sample of patients from general practice: a validation study
   J. Hippisley-Cox, C. Coupland, P. Brindle · 2014 · BMJ Open
10. Development and validation of a prognostic model for survival time data: application to prognosis of HIV positive patients treated with antiretroviral therapy
    M. May, P. Royston, M. Egger, A. Justice, Jonathan A. C. Sterne · 2004 · Statistics in Medicine
11. Development and validation of risk prediction equations to estimate survival in patients with colorectal cancer: cohort study
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12. Development and validation of risk prediction equations to estimate future risk of blindness and lower limb amputation in patients with diabetes: cohort study
    Hippisley-Cox, J., Coupland, C. · 2015 · BMJ
13. Two Techniques for Investigating Interactions between Treatment and Continuous Covariates in Clinical Trials
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14. Targeting PIM Kinase with PD1 Inhibition Improves Immunotherapeutic Antitumor T-cell Response
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15. Assessing Risk Prediction Models Using Individual Participant Data From Multiple Studies
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16. Inter-relationships between Gender, Frailty and 10-Year Survival in Older Italian Adults: an observational longitudinal study
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17. Identification of a microRNA signature associated with risk of distant metastasis in nasopharyngeal carcinoma
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18. External validation of QDSCORE® for predicting the 10‐year risk of developing Type 2 diabetes
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19. Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration
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20. Tools for Checking Calibration of a Cox Model in External Validation: Prediction of Population-Averaged Survival Curves Based on Risk Groups
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21. Effectiveness of the 2014 European Society of Cardiology guideline on sudden cardiac death in hypertrophic cardiomyopathy: a systematic review and meta-analysis
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22. Identifying patients with undetected colorectal cancer: an independent validation of QCancer (Colorectal)
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23. Which Is the Most Suitable Classification for Colorectal Cancer, Log Odds, the Number or the Ratio of Positive Lymph Nodes?
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24. Validation of a Predictive Model for Survival in Metastatic Cancer Patients Attending an Outpatient Palliative Radiotherapy Clinic
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25. Tools for Checking Calibration of a Cox Model in External Validation: Approach Based on Individual Event Probabilities
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26. The Application and Comparison of Machine Learning Models for the Prediction of Breast Cancer Prognosis: Retrospective Cohort Study
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27. Prognostic Factor Studies
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28. The relationship between suicide and violence in schizophrenia: Analysis of the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) dataset
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29. Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach
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30. Optimal cut-off age in the TNM Staging system of differentiated thyroid cancer: is 55 years better than 45 years?
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31. Modeling time‐to‐event (survival) data using classification tree analysis
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32. Validation of a Model for Identification of Patients With Compensated Cirrhosis at High Risk of Decompensation
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33. Effect of competing mortality risks on predictive performance of the QRISK3 cardiovascular risk prediction tool in older people and those with comorbidity: external validation population cohort study
    Shona J. Livingstone, Daniel R. Morales, Peter T. Donnan, Katherine Payne, Alexander Thompson, Ji-Hee Youn, Bruce Guthrie · 2021 · The Lancet Healthy Longevity
34. Logical analysis of survival data: prognostic survival models by detecting high-degree interactions in right-censored data
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35. Developing a framework for evidence-based grading and assessment of predictive tools for clinical decision support
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36. Evaluation of Progressive Neuroretinal Rim Loss as a Surrogate End Point for Development of Visual Field Loss in Glaucoma
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37. Derivation and assessment of risk prediction models using case-cohort data
    Jean Sanderson, Simon G. Thompson, Ian R. White, Thor Aspelund, Lisa A M Pennells · 2013 · BMC Medical Research Methodology
38. Development and validation of risk prediction equations to estimate future risk of heart failure in patients with diabetes: a prospective cohort study
    Julia Hippisley‐Cox, Carol A. C. Coupland · 2015 · BMJ Open
39. The uncertainty with using risk prediction models for individual decision making: an exemplar cohort study examining the prediction of cardiovascular disease in English primary care
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40. Added predictive value of high-throughput molecular data to clinical data and its validation
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41. Usefulness of data from magnetic resonance imaging to improve prediction of dementia: population based cohort study
    Blossom C. M. Stephan, Christophe Tzourio, Sophie Auriacombe, Hélène Amieva, Carole Dufouil, Annick Alpérovitch, Tobias Kurth · 2015 · BMJ
42. Risk Score for Prediction of 10-Year Atrial Fibrillation: A Community-Based Study
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43. Thioredoxin-1 improves the immunometabolic phenotype of antitumor T cells
    Paramita Chakraborty, Shilpak Chatterjee, Pravin Kesarwani, Krishnamurthy Thyagarajan, Supinya Iamsawat, Annika V. Dalheim, Hung Dang Nguyen, Shanmugam Panneer Selvam, Patrick Nasarre, Gina M. Scurti et al. · 2019 · Journal of Biological Chemistry
44. Independent external validation of the QRISK3 cardiovascular disease risk prediction model using UK Biobank
    Ruth E. Parsons, Xiaonan Liu, Jennifer A. Collister, David A. Clifton, Benjamin J. Cairns, Lei Clifton · 2023 · Heart
45. Identifying patients with suspected gastro-oesophageal cancer in primary care: derivation and validation of an algorithm
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46. Hyperuricemia in acute heart failure. More than a simple spectator?
    Anna L. Alimonda, Julio E. Núñez, Eduardo Núñez, Oliver Hüsser, Juan Manuel Sanchís, Vicent Bodı́, Gema Miñana, Rocío Robles, Luis Mainar, Pilar Merlos et al. · 2008 · European Journal of Internal Medicine
47. Development and validation of a prognostic nomogram for HIV/AIDS patients who underwent antiretroviral therapy: Data from a China population-based cohort
    Xiangqing Hou, Dayong Wang, Jingjing Zuo, Jushuang Li, Tao Wang, Chengnan Guo, Fang Peng, Dehua Su, Lina Zhao, Zhenmiao Ye et al. · 2019 · EBioMedicine
48. Long-term outcome of catheter ablation in atrial fibrillation patients with coexistent metabolic syndrome and obstructive sleep apnea: impact of repeat procedures versus lifestyle changes
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49. Predicting the 6-month risk of severe hypoglycemia among adults with diabetes: Development and external validation of a prediction model
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50. Validation of prognostic scores for survival in cancer patients beyond first-line therapy
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51. An external validation of the QCovid risk prediction algorithm for risk of mortality from COVID-19 in adults: a national validation cohort study in England
    Vahé Nafilyan, Ben Humberstone, Nisha Mehta, Ian D. Diamond, Carol A. C. Coupland, Luke Lorenzi, Piotr Pawelek, Ryan Schofield, Jasper Morgan, Paul M. Brown et al. · 2021 · The Lancet Digital Health
52. Lessons learnt when accounting for competing events in the external validation of time-to-event prognostic models
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53. Impact of censoring on learning Bayesian networks in survival modelling
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54. Performance of the ASSIGN cardiovascular disease risk score on a UK cohort of patients from general practice
    Beatriz de la Iglesia, John F. Potter, Neil R Poulter, Margaret M Robins, Jane S. Skinner · 2010 · Heart
55. MetaGxData: Clinically Annotated Breast, Ovarian and Pancreatic Cancer Datasets and their Use in Generating a Multi-Cancer Gene Signature
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56. Analysis of 6,747 Pancreatic Neuroendocrine Tumors for a Proposed Staging System
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57. Measures to assess the prognostic ability of the stratified Cox proportional hazards model
    L. Pennells, I. White, A. Wood, S. Kaptoge, N. Sarwar, J. Kostis, Angela Wilson, A. Folsom, L. Chambless, M. Benderly et al. · 2009 · Statistics in Medicine
58. Discontinued Information and Communication Technology Usage among Older Adults in Continuing Care Retirement Communities in the United States
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59. Community and Hospital Factors Associated With Stroke Center Certification in the United States, 2009 to 2017
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60. Echocardiography and Risk Prediction in Advanced Heart Failure: Incremental Value Over Clinical Markers
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61. Prognostic Value of Lymphocyte G Protein-Coupled Receptor Kinase-2 Protein Levels in Patients With Heart Failure
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62. Prognostic Relevance of the Peritoneal Surface Disease Severity Score Compared to the Peritoneal Cancer Index for Colorectal Peritoneal Carcinomatosis
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63. Prediction of Cardiovascular Disease Risk Accounting for Future Initiation of Statin Treatment
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69. Chapter 12: Systematic Review of Prognostic Tests
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70. Prediction of new brain metastases after radiosurgery: validation and analysis of performance of a multi-institutional nomogram
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71. Predicting COPD 1-year mortality using prognostic predictors routinely measured in primary care
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79. Predicting the adverse risk of statin treatment: an independent and external validation of Qstatin risk scores in the UK
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