Prognosis and prognostic research: Developing a prognostic model

By Patrick Royston, Karel G. M. Moons, Douglas G. Altman, Y. Vergouwe. British medical journal, 2009

1,177 citations recorded by the source corpus.

Subfields: Epidemiology, General Health Professions, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e8cc34f5c478b2d53d185dc08dda67d5db2a36c7

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In Epidemiology

In General Health Professions

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Citations in the corpus

Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes (2018, methodology): “hi(t) = h0(t) exp ( S ( β1X1i + β2X2i + β3X3i + · · · )) , (2)”
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement (2015, positive): “The TRIPOD Statement covers studies that report solely development (12, 15), both development and external validation, and solely external validation (with or without updating), of a prediction model (14) (Figure 3).”
PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies (2019, neutral): “Round 6 refined the domains and introduced further optional guidance for the use of PROBAST.”
Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research (2013, methodology): “Methods for developing models have been widely discussed [3,5,10] and will not be described in detail here.”
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement (2015, methodology): “Prediction model studies can be broadly categorized as model development [12]; model validation (with or without updating) [13] or a combination of both (Fig.”
External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges (2016, background): “Model development is the process that leads to the final prediction equation, and involves many aspects detailed elsewhere.(2) 16-18 Impact studies evaluate, ideally in a randomised trial, whether implementing a prediction model in clinical practice actually improves patient outcomes by informing”
Variable selection strategies and its importance in clinical prediction modelling (2020, neutral): “17 A model developed using the full model approach has advantages.”
Transparent reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement. (2015, positive): “The TRIPOD Statement covers studies that report solely development [12,15], both development and external validation, and solely external validation (with or without updating), of a prediction model [14] (Fig.”
Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist (2014, methodology): “In both cases, overfitting may arise, particularly in small datasets [51,55,58,59].”