課程信息
4.8
252 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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100% 在線課程

立即開始,按照自己的計劃學習。
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建議:8 weeks of study, 2-3 hours/week

完成時間大約為27 小時
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字幕:English

您將獲得的技能

StatisticsStatistical MethodsStatistical Hypothesis TestingBiostatistics
Globe

100% 在線課程

立即開始,按照自己的計劃學習。
Calendar

可靈活調整截止日期

根據您的日程表重置截止日期。
Clock

建議:8 weeks of study, 2-3 hours/week

完成時間大約為27 小時
Comment Dots

English

字幕:English

教學大綱 - 您將從這門課程中學到什麼

1

章節
Clock
完成時間為 2 小時

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

2

章節
Clock
完成時間為 6 小時

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

3

章節
Clock
完成時間為 2 小時

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 個視頻(共 110 分鐘), 1 個閱讀材料
Video6 個視頻
Lecture 4B, part 117分鐘
Lecture 4B, part 213分鐘
Lecture 4C: Comparing Distributions of Binary Data: Odds Ratios 27分鐘
Lecture 4D: A Brief Note About Ratios 15分鐘
Lecture 4E: Self Assessment/Active Learning Exercise 21分鐘
Reading1 個閱讀材料
Learning Objectives, Lecture Set 410分鐘

4

章節
Clock
完成時間為 4 小時

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 個視頻(共 112 分鐘), 5 個閱讀材料, 7 個測驗
Video6 個視頻
Lecture 5B: Numerically Comparing Groups on Time to Event Outcomes 19分鐘
Lecture 5C Part 1 Time to Event Data: Graphical Summarization: Kapalan-Meier Approach22分鐘
Lecture 5C Part 2 Time to Event Data: Graphical Summarization: Kapalan-Meier Approach13分鐘
Lecture 5D: Graphically Comparing Groups on Time to Event Outcomes 13分鐘
Lecture 5E: Self Assessment/Active Learning Exercise 17分鐘
Reading5 個閱讀材料
Learning Objectives, Lecture Set 510分鐘
Supporting Documents For Homework 2A10分鐘
Supporting Information for Homework 2C10分鐘
Formula Files for Quiz 210分鐘
Quiz 2 Solutions10分鐘
Quiz7 個練習
Homework 2A18分鐘
Homework 2B10分鐘
Homework 2C8分鐘
Homework 2D18分鐘
Homework 2E10分鐘
Homework 2F14分鐘
Quiz 2 (Covers Material Through Lecture 5)26分鐘
4.8
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創建者 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!

創建者 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

講師

John McGready, PhD, MS

Associate Scientist, Biostatistics
Bloomberg School of Public Health

關於 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....

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  • 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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