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by: A Jones

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# Week 8,Biostats Heal 395

A Jones
C of C
GPA 3.5

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This note is for one week. -------------- I have completed study guides for Exam 1 and 2!!... Entitled: ***Biostatistics Exam 1 Full ***Biostatistics Exam 2 Full I did very well in t...
COURSE
Biostatistics
PROF.
Hart
TYPE
Class Notes
PAGES
1
WORDS
KARMA
25 ?

## Popular in Public Health

This 1 page Class Notes was uploaded by A Jones on Monday September 19, 2016. The Class Notes belongs to Heal 395 at College of Charleston taught by Hart in Fall 2016. Since its upload, it has received 6 views. For similar materials see Biostatistics in Public Health at College of Charleston.

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Date Created: 09/19/16
9/19/2016 Exam 2 | Evernote Web Upper 95 % CI + Prevalence +(1.96 √(prevalence*1­prevalence)/ (sample size) Lower 95 % CI ­  Prevalence +(1.96 √(prevalence*1­prevalence)/ (sample size) ***CI measures precision of the sample, how close are the results from the sample from the population? Strengths of Cross sectional Inexpensive Can study several exposures or outcomes at once Short duration  Establish a foundation for additional/future hypotheses and analytic studies Weaknesses of Cross sectional Cannot establish cause and effect Cannot establish temporality. In other words, we cannot determine if exposure occurred before outcome?  Those who respond or participate are probably different than those who do not *****Serial Survey: Cross­sectional survey that is conducted over a period of time Correlational / Ecologic Studies (exposures and outcomes) of  groups  measurement: correlation coefficient (linear relationship) Ecologic Fallacy­ false impression that observed conclusions for the group hold true for the individual Case Studies Summary of an individual’s health, information/experience (good for something new) Including: Demographics, Spatial, Social, Symptoms, and Exposures Case Series Collection of health profiles/summaries for individuals with similar exposures or outcomes  Goal: helps define case definition    https://www.evernote.com/Home.action#n=f1c2beec­f601­42cf­abe1­1595d1fe041f&b=3e793d12­ce29­48b58/10b­12b02ed6bc73&ses=4&sh=1&sds=5&

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