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Ebook Elaborating Professionalism Studies In Practice And Theory
Environmental Education Research, 18 2 , — Praxis and praxis development. Ecologies of practices. Mentoring as contested practice: Support, supervision and collaborative self-development. Teaching and Teacher Education, 43 , — Changing practices, changing education. Singapore: Springer. Latour, B.
Studies in Practice and Theory
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Framing information literacy as information practice: Site ontology and practice theory. Journal of Documentation, 66 2 , — MacIntyre, A. After virtue: A study in moral theory. Mahon, K. Critical pedagogical praxis in higher education. Marx, K.
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Vaara Eds. Price, O. Remaking jobs: Enacting and learning work practices. Vocations and Learning, 2 , — Reckwitz, A. Toward a theory of social practices: A development in culturalist theorizing.
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European Journal of Social Theory, 5 2 , — The former commonly seek to identify predictors that independently contribute to the prediction of that is, are associated with a particular prognostic or diagnostic outcome. The aim is not to develop a final prediction model to be used for individualized predictions in other individuals. Prediction model impact studies aim to quantify the effect impact of using a prediction model on participant and physician decision making or directly on participant health outcomes, relative to not using the model 20, , Model impact studies thus follow a comparative intervention design, rather than the single cohort design used in model development or validation studies, and are ideally a cluster randomized design.
However, many items addressed in this reporting guideline do apply to these 2 other types of prediction research, although other reporting guidelines might serve them better.
Furthermore, TRIPOD primarily addresses prediction models for binary for example, disease presence or absence or time-to-event outcomes for example, year cardiovascular disease , because these are the most common types of outcomes to be predicted in medicine. However, outcomes may also be continuous measurements for example, blood pressure, tumor size, percentage vessel stenosis, IQ scores, quality of life, or length of hospital stay , nominal outcomes for example, the differential diagnosis rather than target disease present or absent; type of infection defined as viral, bacterial or no infection , or ordinal outcomes for example, cancer stage, Glasgow Coma Scale [ ], or Rankin scale [ ] , for which prediction models may also be developed 2, Most recommendations and reporting items in TRIPOD apply equally to the reporting of studies aimed at developing or validating prediction models for such outcomes.
Moreover, TRIPOD focuses on prediction models developed by regression modeling, because this is the approach by which most prediction models are developed, validated, or updated in medical research. However, most items equally apply to prediction tools developed, validated, or updated with other techniques, such as classification trees, neural networks, genetic programming, random forests, or vector machine learning techniques.
The main difference in these other approaches over regression modeling is the method of data analysis to derive the prediction model. Problems of transparency in these nonregression modeling approaches are a particular concern, especially regarding reproducible research and implementation in practice. We followed published guidance for developing reporting guidelines and established a steering committee Drs.