Hypothesis Testing in Public Health

Hypothesis Testing in Public Health

This course is part of Biostatistics in Public Health Specialization

Instructor: John McGready, PhD, MS

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22,010 already enrolled

6 modules

Gain insight into a topic and learn the fundamentals.

655 reviews

Beginner level

Recommended experience

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

95%

Most learners liked this course

6 modules

Gain insight into a topic and learn the fundamentals.

655 reviews

Beginner level

Recommended experience

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

95%

Most learners liked this course

What you'll learn

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

Skills you'll gain

Details to know

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Assessments

11 assignments

Taught in English

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This course is part of the Biostatistics in Public Health Specialization

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There are 6 modules in this course

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.

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.

What's included

6 videos1 reading2 assignments

6 videos Total 74 minutes

Introduction 3 minutes
Sampling Distribution Definition 9 minutes
Examples: Sampling Distribution for a Single Mean 16 minutes
Examples: Sampling Distribution for a Single Proportion, Incidence Rate 16 minutes
Estimating Sampling Distribution Characteristics from Single Samples of Data 22 minutes
Additional Examples 7 minutes

1 reading Total 10 minutes

Formative Quiz 1 Solutions 10 minutes

2 assignments Total 105 minutes

Sampling Distributions and Standard Errors 45 minutes
Practice Quiz 60 minutes

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.

What's included

6 videos1 reading2 assignments

6 videos Total 70 minutes

Introduction 2 minutes
Confidence Intervals for Single Population Parameters 15 minutes
Confidence Intervals for Population Proportions and Incidence Rates 15 minutes
So What Is a Confidence Interval, and How Should It Be Interpreted? 14 minutes
A Note on Confidence Intervals for Population Quantities Based on Small Samples 15 minutes
Additional Examples 9 minutes

1 reading Total 10 minutes

Formative Quiz 2 Solutions 10 minutes

2 assignments Total 120 minutes

Quiz: Confidence Intervals for Single Population Parameters 60 minutes
Practice Quiz: Confidence Intervals for Single Population Parameters 60 minutes

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.

What's included

8 videos1 reading2 assignments

8 videos Total 121 minutes

Introduction 2 minutes
Confidence Intervals for Population Comparison Measures 15 minutes
Confidence Intervals for Comparing Means of Continuous Outcomes Between Two Populations 28 minutes
Confidence Intervals for Binary Comparisons: Part 1, Difference in Proportions 12 minutes
Confidence Intervals for Binary Comparisons: Part 2, Ratio of Proportions and Odds Ratios 24 minutes
Confidence Intervals for Incidence Rate Ratios 10 minutes
A Brief Note About Ratios (Again) 11 minutes
Additional Examples 18 minutes

1 reading Total 10 minutes

Solutions, Formative Assessment 10 minutes

2 assignments Total 120 minutes

Confidence Intervals for Population Comparison Measures 60 minutes
Practice Quiz: Confidence Intervals for Population Comparison Measures 60 minutes

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.

What's included

6 videos1 reading2 assignments

6 videos Total 95 minutes

Introduction 2 minutes
Hypothesis Testing: The General Concept, and for Comparing Means Between Two Populations 18 minutes
(Hypothesis Testing) Comparing Means Between Two Populations: The Paired Approach 22 minutes
(Hypothesis Testing) Comparing Means Between Two Populations: The Unpaired Approach 21 minutes
Debriefing on the p-Value, Part 1 20 minutes
Additional Examples 13 minutes

1 reading Total 10 minutes

Solutions, Formative Asessment 10 minutes

2 assignments Total 60 minutes

Two-Group Hypothesis Testing: The General Concept and Comparing Means, and Earlier Course Material 60 minutes
Practice Quiz: Two-Group Hypothesis Testing: The General Concept and Comparing Means 0 minutes

What's included

11 videos2 assignments

11 videos Total 138 minutes

Introduction 2 minutes
(Hypothesis Testing) Comparing Proportions Between Two Populations: The “z-Test” Approach 13 minutes
(Hypothesis Testing) Comparing Proportions Between Two Populations: Chi-Square and Fisher’s Exact Test Approaches 23 minutes
Hypothesis Tests for Comparing Incidence Rates Between Two Populations 21 minutes
Debriefing on the p-Value and Hypothesis Testing, Part 2 9 minutes
Additional Examples 9 minutes
Introduction 3 minutes
(Hypothesis Testing) Comparing Means Between More Than Two Populations: Analysis of Variance (ANOVA) 19 minutes
(Hypothesis Testing) Comparing Proportions Between More Than Two Populations: Chi-Square Tests 14 minutes
Hypothesis Testing) Comparing Survival Curves Between More Than Two Populations: Log-Rank Tests 8 minutes
Several Issues to Consider 19 minutes

2 assignments Total 120 minutes

Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing 60 minutes
Practice Quiz 60 minutes

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.

What's included

1 reading1 assignment

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Instructor

Instructor ratings

(179 ratings)

John McGready, PhD, MS

Johns Hopkins University

6 Courses 101,861 learners

Offered by

Johns Hopkins University

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Reviewed on Jul 8, 2021

Excellent course, excellent teaching. Prof McGready knows his stuff and also knows how to teach it. The projects exercices are fun to work on and see how statistics is used in research.

Reviewed on Dec 8, 2020

Very good refreshment and well explained. I need to more practical exercises to produce the results. Survival analysis curves are new to me I need to read more

Reviewed on Mar 30, 2020

Very well-organized course. Easy to understand. I also enjoyed solving Formative and Summative Quizzes and enjoyed answering to Project Questions.

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