DescriptionThis concise, easy to understand and learner-friendly book invites the readers to actively particpate in the understanding of medical statistical concepts that are frequently used in health care research and evidence-based practice worldwide.
Knowing that the best way to learn statistical concepts is to use them, the authors employ real examples and articles from health science literature, complete with the complexities that real life presents, in an approach that will help bring researchers and clinicians one step closer towards being statistical savvy and better able to critically read research literature and interpret the results.
- A practical hands-on workbook for individual or group exercises
- Teaches how to understand statistical methods when reading journals, and how to use them in clinical research
- Emphasizes the use of statistics in evidence-based research
Relevant for anyone needing to use statistics, this workbook is an ideal resource for all health care professionals and students, especially those learning and practising evidence-based medicine.
Evidence Based Practice Workbook Bridging the Gap Between Health Care Research and Practice 2E with Statistics Workbook Set
This item: Statistics Workbook for Evidence-based Health Care
By Virginia A. Moyer.
UNIT 1 Hypothesis testing and estimation.
UNIT 2 Incidence and prevalence rates.
UNIT 3 Comparing proportions.
UNIT 4 Relative risk and odds ratio.
UNIT 5 Clinical trials.
UNIT 6 Comparing mean values.
UNIT 7 Correlation and regression.
UNIT 8 Follow-up studies.
UNIT 9 Survival analyses.
UNIT 10 Diagnostic and screening statistics.
● Teaches students how to understand statistical methods when reading journals, and how to use them in clinical research
● Emphasizes the use of statistics in evidence-based research
● Relevant for anyone needing to use statistics, making this workbook an ideal resource for statistics courses taught in medical schools worldwide
● Complements Medical Statistics: a guide to data analysis and critical appraisal by the same authors, and other BMJ statistics books such as Statistics at Square One 10th edition, Statistics at Square Two and Statistics with Confidence 2nd edition