Statistics for Systematic Review Authors

The role of statistics in the systematic review process is extremely important.
For healthcare providers and researchers completing a systematic review, this book will teach you how to use the proper statistical method to determine the odds ratio, risk differential and other crucial measurements to verify the validity and applicability of your systematic review.

Platform:

OvidSP

Product Type:

Book

Author:

Tufanaru, Catalin; Huang, William J.; Tsay, Shwu-Feng; Chou, Shin-Shang

ISBN:

978-1-46-981318-9

Specialty:

• Evidence-Based Medicine

Language:

English

Edition:

1st Ed.

Pages:

77

Publication Year:

2012

• Lippincott Williams & Wilkins JBI Book Collection

• CAN-Implement©: Planning for Best-Practice Implementation
• Clinical Wisdom and Evidence-Based Healthcare
• Comparison of Meta-Aggregation and Meta-Ethnography as Qualitative Review Methods, A
• Critically Appraising Evidence for Healthcare
• Guideline Adaptation: Conducting Systematic, Exhaustive, and Reproducible Searches
• Historical Emergence of Qualitative Synthesis, The
• Implementing Evidence Using an Action Research Framework
• International Collaboration in Translational Health Science
• JBI PACES
• JBI SUMARI
• Knowledge Translation in Healthcare
• Mixed Methods Approach to Evidence Synthesis, A
• Public Engagement in Translating Knowledge to Action
• Stakeholder Engagement: The Role of Tacit Knowledge and Value Statements in Translation Science
• Synthesis of Prevalence and Incidence Data, The
• Synthesizing Descriptive Evidence
• Synthesizing Economic Evidence
• Synthesizing Evidence from Narrative, Text and Opinion
• Synthesizing Evidence of Diagnostic Accuracy
• Synthesizing Evidence of Harm
• Synthesizing Evidence of Risk
• Synthesizing Qualitative Evidence
• Synthesizing Quantitative Evidence
• Translation Science and the JBI Model of Evidence-Based Healthcare
• Turning Knowledge into Action: Practical Guidance on How to Do Integrated Knowledge Translation Research