45 results on '"Altman, Douglas G"'
Search Results
2. Quantifying the impact of different approaches for handling continuous predictors on the performance of a prognostic model.
3. Sample size considerations for the external validation of a multivariable prognostic model: a resampling study.
4. Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement.
5. Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD).
6. The science of clinical practice: disease diagnosis or patient prognosis? Evidence about "what is likely to happen" should shape clinical practice.
7. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. The TRIPOD Group.
8. Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.
9. Improving the transparency of prognosis research: the role of reporting, data sharing, registration, and protocols.
10. Prognosis research strategy (PROGRESS) 4: stratified medicine research.
11. Prognosis research strategy (PROGRESS) 1: a framework for researching clinical outcomes.
12. Prognosis Research Strategy (PROGRESS) 2: prognostic factor research.
13. Prognosis Research Strategy (PROGRESS) 3: prognostic model research.
14. Ten steps towards improving prognosis research.
15. Combining estimates of interest in prognostic modelling studies after multiple imputation: current practice and guidelines.
16. Prognosis and prognostic research: Developing a prognostic model.
17. Prognosis and prognostic research: what, why, and how?
18. Prognosis research: toward evidence-based results and a Cochrane methods group.
19. [Diagnostic (STARD) and prognostic (REMARK) studies].
20. Where Next for Evidence Synthesis of Prognostic Marker Studies? Improving the Quality and Reporting of Primary Studies to Facilitate Clinically Relevant Evidence-Based Results
21. Poor reporting of multivariable prediction model studies: towards a targeted implementation strategy of the TRIPOD statement
22. Ten steps towards improving prognosis research
23. Prognosis and prognostic research: application and impact of prognostic models in clinical practice
24. Prognosis and prognostic research: validating a prognostic model
25. Prognosis and prognostic research: Developing a prognostic model
26. Prognosis and prognostic research: what, why, and how?
27. Systematic Reviews In Health Care: Systematic Reviews Of Evaluations Of Prognostic Variables
28. Statistics Notes: Time to Event (Survival) Data
29. A Note on the Uncertainty of a Survival Probability Estimated from Cox's Regression Model
30. Germline BRCA mutation and outcome in young-onset breast cancer (POSH): a prospective cohort study
31. Did the reporting of prognostic studies of tumour markers improve since the introduction of REMARK guideline? A comparison of reporting in published articles
32. Prognostic Trees To Aid Prognosis In Patients With Cutaneous Malignant Melanoma
33. Improving the Transparency of Prognosis Research:The Role of Reporting, Data Sharing, Registration, and Protocols
34. Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): An Abridged Explanation and Elaboration.
35. Systematic reviews of evaluations of prognostic variables
36. CHecklist for statistical Assessment of Medical Papers: the CHAMP statement.
37. Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist.
38. Identifying patients with undetected pancreatic cancer in primary care: an independent and external validation of QCancer® (Pancreas).
39. Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): Explanation and Elaboration.
40. Reporting and Methods in Clinical Prediction Research: A Systematic Review.
41. Comparison of techniques for handling missing covariate data within prognostic modelling studies: a simulation study.
42. Developing a prognostic model in the presence of missing data: an ovarian cancer case study
43. Commentary: Prognostic models: Clinically useful or quickly forgotten?
44. Assessing new methods of clinical measurement.
45. Reply: Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK).
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