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ODM is a vendor-neutral, platform-independent format for interchange and archive of clinical study data. The model includes the clinical data along with its associated metadata, administrative data, reference data and audit information. [8] ODM was first introduced in 1999, and the latest version, 1.3.2, was released in 2012. [9]
The LOCF method allows for the analysis of the data. However, recent research shows that this method gives a biased estimate of the treatment effect and underestimates the variability of the estimated result. [8] [9] As an example, assume that there are 8 weekly assessments after the baseline observation. If a patient drops out of the study ...
The Kimball lifecycle is a methodology for developing data warehouses, and has been developed by Ralph Kimball and a variety of colleagues. The methodology "covers a sequence of high level tasks for the effective design , development and deployment " of a data warehouse or business intelligence system. [ 1 ]
Life cycle assessment (LCA) is sometimes referred to synonymously as life cycle analysis in the scholarly and agency report literatures. [7] [1] [8] Also, due to the general nature of an LCA study of examining the life cycle impacts from raw material extraction (cradle) through disposal (grave), it is sometimes referred to as "cradle-to-grave analysis".
[1] [2] As summarized by the Nobel Committee, the LATE framework "significantly altered how researchers approach empirical questions using data generated from either natural experiments or randomized experiments with incomplete compliance to the assigned treatment. At the core, the LATE interpretation clarifies what can and cannot be learned ...
Supporting the OSLC initiative there are open source projects for building an OSLC reference implementation and test suites for various programming languages and framework. The Eclipse Lyo project is one of the open source project which provides consumer and provider SDKs (primarily for Java), reference implementations, samples and test suite. [6]
IDEAL (Idea, Development, Exploration, Assessment, Long-term study) is a framework for describing the stages of innovation in surgery and other interventional procedures.. The purpose of IDEAL is to improve the quality of research in surgery by emphasizing appropriate methods, transparency of data and rigorous reporting of outcom
DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. [1]