By L. Santiago Medina, Kimberly E. Applegate, C. Craig Blackmore
This sensible booklet is perfect for readers who are looking to swiftly ascertain the best imaging for pediatric sufferers. The textual content offers a concise and available precis of the literature on how and while to take advantage of imaging reports. Chapters handle the necessities, reminiscent of cost-effectiveness, and are written in collaboration through well known experts within the fields of pediatrics and pediatric radiology. subject matters conceal universal scientific situations in neuroimaging and musculoskeletal, chest, and stomach imaging. each one imaging suggestion is gifted besides the aiding info and the energy of the evidence.
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Additional resources for Evidence-Based Imaging in Pediatrics: Improving the Quality of Imaging in Patient Care
Sample text
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Conclusion Critical analysis of a research publication can be a challenging task. The reader must consider the potential for type I and type II random errors, as well as systematic error introduced by biases including selection bias, observer bias, and reference standard bias. Screening includes an additional set of challenges related to lead time, length bias, and overdiagnosis. References 1. Moher D, Schulz K, Altman D. JAMA 2001;285:1987–1991. 2. Bossuyt PM, Reitsma J, Bruns D, et al. Acad Radiol 2003;10:664–669.
In systematic error, regardless of the sample size, the bias would not allow the researcher to hit the center of the target. (Reprinted with kind permission of Springer Science+Business Media from Blackmore CC, Medina LS, Ravenel JG, Silvestri GA. Critically Assessing the Literature: Understanding Error and Bias. Medina LS, Blackmore DD (eds): EvidenceBased Imaging: Optimizing Imaging in Patient. ). distortion of the data. Systematic error is not affected by sample size but is rather a function of flaws in the study design, data collection, and analysis.