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Title: NIH - Design of Epidemiological Studies

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Title NIH - Design of Epidemiological Studies
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 link to Design
Type of Course Single Presentation
Level of Course Beginning, Mid-level
Audience Graduate Student, Clinical Researcher
Topics Description Objectives
* Identify some study designs and statistics used in public health research
* Calculate a sample size for a new 2 arm randomized study using data from a previous study
* Formulate questions for statisticians and epidemiologists
Software Program

Datasets

Data

Keywords Questions
Hypothesis
Experimental design
Samples
Data
Analyses
Conclusions
Epidemiology
Relative risk
Odds ration
Risk difference
Dose-response relationships
Temporal sequence
Consistency of the association (internal "validity")
Replication of results (external validity)
Biological plausibility
Experimental evidence
Variable
Covariate
Coefficient
Association
Confounders
Effect modifiers
Example: Coffee and pancreatic cancer
Randomization
Prevalence
Incidence
Sensitivity
Specificity
Selection bias
Interviewer bias
Randomized vs non-randomized study
Blinded/Masked or not
Treatment vs observational study
Prospective vs retrospective study
Longitudinal vs cross-sectional study
Case reports
Mean
Standard deviation
Proportions
Confidence limits or intervals
Case-control study
Cohort study
See Also

Type of Activity Course Slides, Video Presentation, Reading List
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 - 15:21:07 - MaryBanach
 

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