Statistical Literacy for Clinical Practitioners

This textbook on statistics is written for students in medicine, epidemiology, and public health. It builds on the important role evidence-based medicine now plays in the clinical practice of physicians, physician assistants and allied health practitioners. By bringing research design and statistics...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Holmes, William H. (Συγγραφέας), Rinaman, William C. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Holmes, William H.  |e author. 
245 1 0 |a Statistical Literacy for Clinical Practitioners  |h [electronic resource] /  |c by William H. Holmes, William C. Rinaman. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2014. 
300 |a XI, 485 p. 340 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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338 |a online resource  |b cr  |2 rdacarrier 
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505 0 |a Overview -- The Evidence Pyramid -- Case Study -- Case-control Study -- Randomized Controlled Trial -- Meta-analysis -- References -- Exercise Questions. 
520 |a This textbook on statistics is written for students in medicine, epidemiology, and public health. It builds on the important role evidence-based medicine now plays in the clinical practice of physicians, physician assistants and allied health practitioners. By bringing research design and statistics to the fore, this book can integrate these skills into the curricula of professional programs. Students, particularly practitioners-in-training, will learn statistical skills that are required of today’s clinicians. Practice problems at the end of each chapter and downloadable data sets provided by the authors ensure readers get practical experience that they can then apply to their own work.  Topics covered include:   Functions of Statistics in Clinical Research Common Study Designs Describing Distributions of Categorical and Quantitative Variables Confidence Intervals and Hypothesis Testing Documenting Relationships in Categorical and Quantitative Data< Assessing Screening and Diagnostic Tests Comparing Means of Independent and Related Samples Linear Regression Binary Logistic Regression Survival Analysis Regression Analysis of Count Data. 
650 0 |a Statistics. 
650 0 |a Medicine. 
650 0 |a Epidemiology. 
650 1 4 |a Statistics. 
650 2 4 |a Statistics for Life Sciences, Medicine, Health Sciences. 
650 2 4 |a Medicine/Public Health, general. 
650 2 4 |a Epidemiology. 
700 1 |a Rinaman, William C.  |e author. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783319125497 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-12550-3  |z Full Text via HEAL-Link 
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950 |a Mathematics and Statistics (Springer-11649)