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Title: Methods in Biostatistics I
Url: https://www.jhsph.edu/courses/course/25922/2018/140.651.01/methods-in-...
Publisher: Johns Hopkins University
Description: The field of biostatistics, which combines a number of different disciplines, is one that more people seek to enter. The Johns Hopkins School of Public Health's Brian Caffo created these course materials for his Methods in Biostatistics I class. As the site notes, these materials present "fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples." Visitors can look over the syllabus here, check out the original course schedule, peruse the lecture materials, and look over the readings. The lecture notes cover set theory basics and probability, expected values, random vectors, distribution, and confidence intervals. The site is rounded out by the Other Resources area, which includes links to free statistical software programs and other supplemental items.
LC Classification: Science -- Mathematics -- Mathematical statistics -- Study and teaching. Research -- Computer-assisted instruction
Science -- Mathematics -- Mathematical statistics -- Study and teaching. Research -- Outlines, syllabi
Science -- Natural history. Biology -- Biology (General) -- Study and teaching. Research
GEM Subject: Science -- Biology
Mathematics -- Statistics
Key Concept: Biology
Mathematics -- Statistics
Date Issued: 2006
Resource Type: Reference Material
Audio/Visual -- Graph
Instructional Material
Instructional Material -- Course
Instructional Material -- Lesson/Lesson Plan
Instructional Material -- Instructor Guide/Manual
Format: Document -- PDF
Document -- HTML
Audience: Educator
Learner
Education Level: Higher Education -- Undergraduate (Lower Division)
Higher Education -- Technical Education (Lower Division)
Language: English
Rights: The Johns Hopkins University
Access Rights: Free access
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Source Type: Internet Scout
Source: Scout Archives
Full Record Views: 13
Resource URL Clicks: 8
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