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Title: NIH - Principles of Hypothesis Testing for Public Health

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Title NIH - Principles of Hypothesis Testing for Public Health
Contributor/Contact Laura Lee Johnson, PhD
Institution NIH
Acknowledgment Please cite the appropriate contributors/authors/contacts when using or adapting these materials.
Format Web_Link, PDF, Video
Attachment

URL_Web_Link Links to Overview of Hypothesis Testing Video and Slides
Type of Course Multi-presentation
Level of Course Beginning, Mid-level
Audience Graduate Student, Clinical Researcher
Topics Description Objectives
Formulate questions for statisticians
and epidemiologists using
- P-value
- Power
- Type I and Type II errors
Identity a few commonly used
statistical tests for comparing two
groups
Software Program

Datasets

Data

Keywords Estimation
Statistical Inference
Hypothesis testing
Distributions
Sides and tails
Clinically important difference
Point estimation
Interval estimation
Scatter plots
Box plots
Histograms
Bar plots
Null hypothesis
Alternative hypothesis
Two-sided test
One-sided test
Type I error
Type II error
Significance level
Power
Confidence interval
Linear regression
Repeated measures
Positive predictive value
Negative predictive value
Sensitivity
Specificity

See Also

Type of Activity Course Slides, Video Presentation, Other
Disclaimer The views expressed within CTSpedia are those of the author and must not be taken to represent policy or guidance on the behalf of any organization or institution with which the author is affiliated.
Topic revision: r4 - 08 Oct 2012 - 15:31:28 - MaryBanach
 

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