About this Course
4.8
240 ratings
67 reviews
A conceptual and interpretive public health approach to some of the most commonly used methods from basic statistics....
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Clock

Suggested: 8 weeks of study, 2-3 hours/week

Approx. 27 hours to complete
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English

Subtitles: English

Skills you will gain

Statistical Hypothesis TestingBiostatisticsStatisticsStatistical Methods
Globe

100% online courses

Start instantly and learn at your own schedule.
Calendar

Flexible deadlines

Reset deadlines in accordance to your schedule.
Clock

Suggested: 8 weeks of study, 2-3 hours/week

Approx. 27 hours to complete
Comment Dots

English

Subtitles: English

Syllabus - What you will learn from this course

1

Section
Clock
2 hours to complete

Introduction and Module 1

This module, consisting of one lecture set, is intended to whet your appetite for the course, and examine the role of biostatistics in public health and medical research. Topics covered include study design types, data types, and data summarization....
Reading
7 videos (Total 98 min), 1 reading
Video7 videos
Introduction to Module 1 2m
Lecture 1A: The Role of Statistics in Public Health Research10m
Lecture 1B: Samples Versus Population 20m
Lecture 1C: Considerations with Regard to Study Design 37m
Lecture 1D: Data Types and Summarization 9m
Lecture 1E: Self-Assessment/Active Learning Exercise 15m
Reading1 reading
Syllabus10m

2

Section
Clock
6 hours to complete

Module 2A: Summarization and Measurement

Module 2A consists of two lecture sets that cover measurement and summarization of continuous data outcomes for both single samples, and the comparison of two or more samples. Please see the posted learning objectives for these two lecture sets for more detail....
Reading
10 videos (Total 223 min), 6 readings, 6 quizzes
Video10 videos
Lecture 2A: Continuous Data: Useful Summary Statistics24m
Lecture 2B: Continuous Data: Visual Displays 23m
Lecture 2C: Continuous Data: The Role of Sample Size on Sample Based Estimates 27m
Lecture 2D: Continuous Data: Comparing Distributions 20m
Lecture 2E: Self Assessment/Active Learning Exercise 19m
Lecture 3A: The Standard Normal Distribution Defined22m
Lecture 3B: Applying the Principles of the Normal Distribution to Sample Data 34m
Lecture 3C: What Happens When We Apply the Properties of the Normal Distribution to Data Not Approximately Normal: A Warning 17m
Lecture 3D: Some Practice Exercises . 29m
Reading6 readings
Learning Objectives, Lecture Set 210m
Learning Objectives, Lecture Set 310m
Supporting Documents for Homework 1A10m
Supporting Information for Homework 1D10m
Supporting Information for Homework 1E10m
Quiz 1 Solutions10m
Quiz6 practice exercises
Homework 1A26m
Homework 1B10m
Homework 1C12m
Homework 1D16m
Homework 1E16m
Quiz 1 (Covers Material Through Lecture 3)24m

3

Section
Clock
2 hours to complete

Module 2B: Summarization and Measurement

Module 2B includes a single lecture set on summarizing binary outcomes. While at first, summarization of binary outcome may seem simpler than that of continuous outcomes, things get more complicated with group comparisons. Included in the module are examples of and comparisons between risk differences, relative risk and odds ratios. Please see the posted learning objectives for these this module for more details....
Reading
6 videos (Total 110 min), 1 reading
Video6 videos
Lecture 4B, part 117m
Lecture 4B, part 213m
Lecture 4C: Comparing Distributions of Binary Data: Odds Ratios 27m
Lecture 4D: A Brief Note About Ratios 15m
Lecture 4E: Self Assessment/Active Learning Exercise 21m
Reading1 reading
Learning Objectives, Lecture Set 410m

4

Section
Clock
4 hours to complete

Module 2C: Summarization and Measurement

This module consists of a single lecture set on time-to-event outcomes. Time-to-event data comes primarily from prospective cohort studies with subjects who haven to had the outcome of interest at their time of enrollment. These subjects are followed for a pre-established period of time until they either have there outcome, dropout during the active study period, or make it to the end of the study without having the outcome. The challenge with these data is that the time to the outcome is fully observed on some subjects, but not on those who do not have the outcome during their tenure in the study. Please see the posted learning objectives for each lecture set in this module for more details....
Reading
6 videos (Total 112 min), 5 readings, 7 quizzes
Video6 videos
Lecture 5B: Numerically Comparing Groups on Time to Event Outcomes 19m
Lecture 5C Part 1 Time to Event Data: Graphical Summarization: Kapalan-Meier Approach22m
Lecture 5C Part 2 Time to Event Data: Graphical Summarization: Kapalan-Meier Approach13m
Lecture 5D: Graphically Comparing Groups on Time to Event Outcomes 13m
Lecture 5E: Self Assessment/Active Learning Exercise 17m
Reading5 readings
Learning Objectives, Lecture Set 510m
Supporting Documents For Homework 2A10m
Supporting Information for Homework 2C10m
Formula Files for Quiz 210m
Quiz 2 Solutions10m
Quiz7 practice exercises
Homework 2A18m
Homework 2B10m
Homework 2C8m
Homework 2D18m
Homework 2E10m
Homework 2F14m
Quiz 2 (Covers Material Through Lecture 5)26m
4.8
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33%

started a new career after completing these courses
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83%

got a tangible career benefit from this course

Top Reviews

By CAug 10th 2016

i enjoyed the course, however i am having an immense problem trying to get the certificate despite having paid for it and completing all my assignments. i need help in this. thanks

By LOMar 15th 2017

this is a great course for anyone who wants to develop a career in research. videos are great and engaging. the tutor makes biostatistics very simple and easy to understand.

Instructor

John McGready, PhD, MS

Associate Scientist, Biostatistics
Bloomberg School of Public Health

About Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

Frequently Asked Questions

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  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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