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Can I read Converting Data into Evidence [recurso electrónico] A Statistics Primer for the Medical Practitioner on EtoBox?

Converting Data into Evidence [recurso electrónico] A Statistics Primer for the Medical Practitioner by Alfred DeMaris, Steven H. Selman (auth.) is a nonfiction available to read on EtoBox.

What is Converting Data into Evidence [recurso electrónico] A Statistics Primer for the Medical Practitioner about?

Converting Data Into Evidence: A Statistics Primer For The Medical Practitioner Provides A Thorough Introduction To The Key Statistical Techniques That Medical Practitioners Encounter Throughout their Professional Careers. These Techniques Play An Important Part In Evidence-based Medicine Or Ebm. Adherence To Ebm Requires Medical Practitioners To Keep Abreast Of The Results Of Medical Research As Reported In Their General And Specialty Journals. At The Heart Of This Research Is The Science Of Statistics. It Is Through Statistical Techniques That Researchers Are Able To Discern The Patterns In The Data That Tell A Clinical Story Worth Reporting. The Authors begin By Discussing Samples And Populations, Issues Involved In Causality And Causal Inference, And Ways Of Describing Data. They then proceed Through The Major Inferential Techniques Of Hypothesis Testing And Estimation, Providing Examples Of Univariate And Bivariate Tests. The Coverage Then Moves To Statistical Modeling, Including Linear And Logistic Regression And Survival Analysis. In A Final Chapter, a User-friendly Introduction To Some Newer, Cutting-edge, Regression Techniques Will Be Included, Such As fixed-effects Regres

Who reads Converting Data into Evidence [recurso electrónico] A Statistics Primer for the Medical Practitioner?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Alfred DeMaris, Steven H. Selman (auth.)
Publisher
Springer-Verlag New York Inc.
Published
2013
Language
EN
ISBN
9781461477921
Category
nonfiction
Subjects
Science, Medical, Mathematics

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