Pocket Evidence Based Medicine [electronic resource] : A Survival Guide for Clinicians and Students / by Walter R. Palmas.
Material type:
TextLanguage: English Publication details: Cham : Springer International Publishing : Imprint: Springer, 2023.Edition: 1st ed. 2023Description: XIII, 221 p. 72 illus., 59 illus. in color. online resourceISBN: - 9783031194719
- Clinical medicine -- Research
- Biometry
- Medicine -- Research
- Biology -- Research
- Statistics
- Social sciences -- Statistical methods
- Clinical Research
- Biostatistics
- Biomedical Research
- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
- Statistics in Business, Management, Economics, Finance, Insurance
- Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
- 61,550,724 23
| Item type | Current library | Call number | Materials specified | Status | Date due | Barcode | Item holds | |
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E-Books
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National Library of India Online Resource | 61,550,724 (Browse shelf(Opens below)) | Available | EBK000042476ENG |
This concise, easy-to-read pocket guide offers medical trainees, researchers, and clinicians at every level the perfect resource on Evidence Based Medicine (EBM). Based on the author's many years of experience teaching EBM to medical students and medical residents at Columbia University, this handy title addresses not only all the basic concepts and issues in EBM, but also takes an example-based approach and is replete with numerous illustrations. This brief book provides readers with all the tools needed to tell the good from the bad in healthcare research. It discusses every type of study design, from the assessment of diagnostic tests to clinical trials and meta-analysis. The work also introduces readers to novel methods, such as the Bayesian analysis of clinical trials. In addition, to help readers better retain the information, the guide includes thought-provoking review questions and answers in an appendix. In all, Pocket Evidence-BasedMedicine: A Survival Guide for Clinicians and Students is an ideal resource for anyone who encounters statistics in their studies or career, including clinicians, researchers, trainees in medicine and graduate students in a wide range of other disciplines.
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