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Title: Columbia - Statistics for the Basic Sciences

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Title Columbia - Statistics for the Basic Sciences
Contributor/Contact Ivey Chen
Institution Columbia
Acknowledgment Please cite the appropriate contributors/authors/contacts when using or adapting these materials.
Format PDF
Attachment Columbia_Syllabus_Stata
Type of Course Syllabus
Level of Course Beginning
Audience Graduate Student
Topics Description (Bio)statistics is essential to ensuring that findings and practices in public health and
biomedicine are supported by reliable evidence. This course covers the basic tools for the
collection, analysis, and presentation of data. Central to these skills is assessing the impact of
chance and variability on the interpretation of research findings and subsequent
recommendations for public health practice and policy. Topics covered include: general
principles of study design; estimation; hypothesis testing; several methods for comparison of
discrete and continuous data including chi-square test of independence, t-test,
ANOVA, correlation, and regression.
Software Program Stata
Datasets

Data

Keywords Assess data sources
probability and inference
deductive reasoning
systematic error
measurement error
hypothesis testing
type I and type II errors
confidence bounds
See Also

Type of Activity Course Syllabi
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Topic revision: r5 - 08 Oct 2012 - 13:30:08 - MaryBanach
 

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