À propos de ce cours
4.8
253 ratings
69 reviews
A conceptual and interpretive public health approach to some of the most commonly used methods from basic statistics....
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Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
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Dates limites flexibles

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Clock

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

Approx. 27 heures pour terminer
Comment Dots

English

Sous-titres : English

Compétences que vous acquerrez

StatisticsStatistical MethodsStatistical Hypothesis TestingBiostatistics
Globe

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Clock

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

Approx. 27 heures pour terminer
Comment Dots

English

Sous-titres : English

Programme du cours : ce que vous apprendrez dans ce cours

1

Section
Clock
2 heures pour terminer

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 vidéos (Total 98 min), 1 lecture
Video7 vidéos
Introduction to Module 1 2 min
Lecture 1A: The Role of Statistics in Public Health Research10 min
Lecture 1B: Samples Versus Population 20 min
Lecture 1C: Considerations with Regard to Study Design 37 min
Lecture 1D: Data Types and Summarization 9 min
Lecture 1E: Self-Assessment/Active Learning Exercise 15 min
Reading1 lecture
Syllabus10 min

2

Section
Clock
6 heures pour terminer

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 vidéos (Total 223 min), 6 lectures, 6 quiz
Video10 vidéos
Lecture 2A: Continuous Data: Useful Summary Statistics24 min
Lecture 2B: Continuous Data: Visual Displays 23 min
Lecture 2C: Continuous Data: The Role of Sample Size on Sample Based Estimates 27 min
Lecture 2D: Continuous Data: Comparing Distributions 20 min
Lecture 2E: Self Assessment/Active Learning Exercise 19 min
Lecture 3A: The Standard Normal Distribution Defined22 min
Lecture 3B: Applying the Principles of the Normal Distribution to Sample Data 34 min
Lecture 3C: What Happens When We Apply the Properties of the Normal Distribution to Data Not Approximately Normal: A Warning 17 min
Lecture 3D: Some Practice Exercises . 29 min
Reading6 lectures
Learning Objectives, Lecture Set 210 min
Learning Objectives, Lecture Set 310 min
Supporting Documents for Homework 1A10 min
Supporting Information for Homework 1D10 min
Supporting Information for Homework 1E10 min
Quiz 1 Solutions10 min
Quiz6 exercices pour s'entraîner
Homework 1A26 min
Homework 1B10 min
Homework 1C12 min
Homework 1D16 min
Homework 1E16 min
Quiz 1 (Covers Material Through Lecture 3)24 min

3

Section
Clock
2 heures pour terminer

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 vidéos (Total 110 min), 1 lecture
Video6 vidéos
Lecture 4B, part 117 min
Lecture 4B, part 213 min
Lecture 4C: Comparing Distributions of Binary Data: Odds Ratios 27 min
Lecture 4D: A Brief Note About Ratios 15 min
Lecture 4E: Self Assessment/Active Learning Exercise 21 min
Reading1 lecture
Learning Objectives, Lecture Set 410 min

4

Section
Clock
4 heures pour terminer

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 vidéos (Total 112 min), 5 lectures, 7 quiz
Video6 vidéos
Lecture 5B: Numerically Comparing Groups on Time to Event Outcomes 19 min
Lecture 5C Part 1 Time to Event Data: Graphical Summarization: Kapalan-Meier Approach22 min
Lecture 5C Part 2 Time to Event Data: Graphical Summarization: Kapalan-Meier Approach13 min
Lecture 5D: Graphically Comparing Groups on Time to Event Outcomes 13 min
Lecture 5E: Self Assessment/Active Learning Exercise 17 min
Reading5 lectures
Learning Objectives, Lecture Set 510 min
Supporting Documents For Homework 2A10 min
Supporting Information for Homework 2C10 min
Formula Files for Quiz 210 min
Quiz 2 Solutions10 min
Quiz7 exercices pour s'entraîner
Homework 2A18 min
Homework 2B10 min
Homework 2C8 min
Homework 2D18 min
Homework 2E10 min
Homework 2F14 min
Quiz 2 (Covers Material Through Lecture 5)26 min
4.8
Direction Signs

33%

a commencé une nouvelle carrière après avoir terminé ces cours
Briefcase

83%

a bénéficié d'un avantage concret dans sa carrière grâce à ce cours

Meilleurs avis

par ZCOct 10th 2017

It is an awesome course which does not require much math background and provides clear logic behind the interpretation of statistic results from the public health area. Strongly recommend!

par 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

Enseignant

John McGready, PhD, MS

Associate Scientist, Biostatistics
Bloomberg School of Public Health

À propos de 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....

Foire Aux Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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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