Biostatistics is an essential skill for every public health researcher because it provides a set of precise methods for extracting meaningful conclusions from data. In this second course of the Biostatistics in Public Health Specialization, you'll learn to evaluate sample variability and apply statistical hypothesis testing methods. Along the way, you'll perform calculations and interpret real-world data from the published scientific literature. Topics include sample statistics, the central limit theorem, confidence intervals, hypothesis testing, and p values.
本課程是 Biostatistics in Public Health 專項課程 專項課程的一部分
Hypothesis Testing in Public Health
提供方
課程信息
8,170 次近期查看
您將學到的內容有
Use statistical methods to analyze sampling distribution
Estimate and interpret 95% confidence intervals for single samples
Estimate and interpret 95% confidence intervals for two populations
Estimate and interpret p values for hypothesis testing
您將獲得的技能
Confidence IntervalStatistical Hypothesis Testingp valuessampling
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 3 小時
Sampling Distributions and Standard Errors
Within module one, you will learn about sample statistics, sampling distribution, and the central limit theorem. You will have the opportunity to test your knowledge with a practice quiz and, then, apply what you learned to the graded quiz.
7 個視頻 （總計 90 分鐘）, 1 個閱讀材料, 2 個測驗
7 個視頻
Introduction2分鐘
Sampling Distribution Definition9分鐘
Examples: Sampling Distribution for a Single Mean16分鐘
Examples: Sampling Distribution for a Single Proportion, Incidence Rate16分鐘
Estimating Sampling Distribution Characteristics from Single Samples of Data22分鐘
Additional Examples7分鐘
Examples: Sampling Distribution for a Single Proportion, Incidence Rate (coursera test)16分鐘
1 個閱讀材料
Formative Quiz 1 Solutions10分鐘
2 個練習
Practice Quiz1小時
Sampling Distributions and Standard Errors45分鐘
週
2完成時間為 3 小時
Confidence Intervals for Single Population Parameters
Module two builds upon previous materials to discuss confidence intervals, the need for ample sizes of data, and ways to get around the need for ample sizes of data. The practice quiz helps you prepare for the graded quiz.
6 個視頻 （總計 70 分鐘）, 1 個閱讀材料, 2 個測驗
6 個視頻
Introduction2分鐘
Confidence Intervals for Single Population Parameters15分鐘
Confidence Intervals for Population Proportions and Incidence Rates15分鐘
So What Is a Confidence Interval, and How Should It Be Interpreted?13分鐘
A Note on Confidence Intervals for Population Quantities Based on Small Samples15分鐘
Additional Examples8分鐘
1 個閱讀材料
Formativ e Quiz 2 Solutions10分鐘
2 個練習
Practice Quiz: Confidence Intervals for Single Population Parameters1小時
Quiz: Confidence Intervals for Single Population Parameters1小時
完成時間為 4 小時
Confidence Intervals for Population Comparison Measures
Within module three, confidence intervals are discussed at length and ratios are discussed again. Aside from the lectures, you will also be completing a practice quiz and graded quiz.
8 個視頻 （總計 121 分鐘）, 1 個閱讀材料, 2 個測驗
8 個視頻
Introduction2分鐘
Confidence Intervals for Population Comparison Measures15分鐘
Confidence Intervals for Comparing Means of Continuous Outcomes Between Two Populations28分鐘
Confidence Intervals for Binary Comparisons: Part 1, Difference in Proportions12分鐘
Confidence Intervals for Binary Comparisons: Part 2, Ratio of Proportions and Odds Ratios24分鐘
Confidence Intervals for Incidence Rate Ratios10分鐘
A Brief Note About Ratios (Again)11分鐘
Additional Examples17分鐘
1 個閱讀材料
Solutions, Formative Assessment10分鐘
2 個練習
Practice Quiz: Confidence Intervals for Population Comparison Measures1小時
Confidence Intervals for Population Comparison Measures1小時
週
3完成時間為 3 小時
Two-Group Hypothesis Testing: The General Concept and Comparing Means
Within module four, you will look at statistical hypothesis tests, confidence intervals, and p-value. There is a practice quiz to prepare you for the graded quiz.
6 個視頻 （總計 95 分鐘）, 1 個閱讀材料, 2 個測驗
6 個視頻
Introduction1分鐘
Hypothesis Testing: The General Concept, and for Comparing Means Between Two Populations17分鐘
(Hypothesis Testing) Comparing Means Between Two Populations: The Paired Approach21分鐘
(Hypothesis Testing) Comparing Means Between Two Populations: The Unpaired Approach20分鐘
Debriefing on the p-Value, Part 120分鐘
Additional Examples12分鐘
1 個閱讀材料
Solutions, Formative Asessment10分鐘
2 個練習
Practice Quiz: Two-Group Hypothesis Testing: The General Concept and Comparing Means
Two-Group Hypothesis Testing: The General Concept and Comparing Means, and Earlier Course Material1小時
週
4完成時間為 4 小時
Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing
11 個視頻 （總計 138 分鐘）, 2 個測驗
11 個視頻
Introduction1分鐘
(Hypothesis Testing) Comparing Proportions Between Two Populations: The “z-Test” Approach12分鐘
(Hypothesis Testing) Comparing Proportions Between Two Populations: Chi-Square and Fisher’s Exact Test Approaches23分鐘
Hypothesis Tests for Comparing Incidence Rates Between Two Populations20分鐘
Debriefing on the p-Value and Hypothesis Testing, Part 28分鐘
Additional Examples8分鐘
Introduction2分鐘
(Hypothesis Testing) Comparing Means Between More Than Two Populations: Analysis of Variance (ANOVA)18分鐘
(Hypothesis Testing) Comparing Proportions Between More Than Two Populations: Chi-Square Tests14分鐘
Hypothesis Testing) Comparing Survival Curves Between More Than Two Populations: Log-Rank Tests8分鐘
Several Issues to Consider18分鐘
2 個練習
Practice Quiz1小時
Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing1小時
完成時間為 2 小時
Project
During this module, you get the chance to demonstrate what you've learned by putting yourself in the shoes of biostatistical consultant on two different studies, one about asthma medication and the other about self-administration of injectable contraception. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies. If you've already taken the Summarization and Measurement course, then this scenario will be familiar.
1 個閱讀材料, 1 個測驗
1 個閱讀材料
Biostatistical Consulting Project30分鐘
1 個練習
Course Project Quiz1小時
4.8
14 個審閱來自Hypothesis Testing in Public Health 的熱門評論
I really enjoyed the simplicity of the presentations. I feel I still need to review the materials to ensure it sinks. All in all, This is one of the 3 online courses I have taken.
Excellent course, very well explained and the scientific articles used were a superb way to boost my confidence that I can do this, meaning stats. Thank you!
講師
John McGready, PhD, MS
Associate Scientist, BiostatisticsBloomberg School of Public Health
關於 约翰霍普金斯大学
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.
關於 Biostatistics in Public Health 專項課程
This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.
常見問題
我什么时候能够访问课程视频和作业？
注册以便获得证书后，您将有权访问所有视频、测验和编程作业（如果适用）。只有在您的班次开课之后，才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程，可能无法访问某些作业。
我订阅此专项课程后会得到什么？
您注册课程后，将有权访问专项课程中的所有课程，并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
退款政策是如何规定的？
有助学金吗？
還有其他問題嗎？請訪問 學生幫助中心。
Coursera provides universal access to the world’s best education,
partnering with top universities and organizations to offer courses online.
© 2019 Coursera Inc. 保留所有權利。
