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Curr Opin Crit Care · Oct 2004
ReviewAdvances in statistical methodology and their application in critical care.
- Lan Kong, Eric B Milbrandt, and Lisa A Weissfeld.
- Department of Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA 15261, USA. lkong@pitt.edu
- Curr Opin Crit Care. 2004 Oct 1; 10 (5): 391-4.
Purpose Of ReviewTo review some of the major advances in statistical methodology of the past two decades and their application to investigations in critical care.Recent FindingsThe introduction of new technologies and the ready availability of advanced computer resources have led to significant developments in statistical methodology. These include the development of computationally intensive methods, improved methods for modeling correlated outcome data, and new methods for handling missing data. Although many of these tools are available in standard statistical software, they remain underutilized in the medical literature.SummaryBy becoming familiar with advances in statistical methodology, researchers and clinicians can enhance collaboration with their statistical colleagues, toward the goal of better study design and analysis.Copyright 2004 Lippincott Williams & Wilkins
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