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.
Этот курс входит в специализацию ''Специализация Biostatistics in Public Health '
Hypothesis Testing in Public Health
от партнера
Об этом курсе
5.0
Оценки: 1
Чему вы научитесь
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
Приобретаемые навыки
Confidence IntervalStatistical Hypothesis Testingp valuessampling
Программа курса: что вы изучите
Неделя
1Sampling 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 видео ((всего 90 мин.)), 2 тестов
7 видео
Introduction2мин
Sampling Distribution Definition9мин
Examples: Sampling Distribution for a Single Mean16мин
Examples: Sampling Distribution for a Single Proportion, Incidence Rate16мин
Estimating Sampling Distribution Characteristics from Single Samples of Data22мин
Additional Examples7мин
Examples: Sampling Distribution for a Single Proportion, Incidence Rate (coursera test)16мин
2 практического упражнения
Practice Quiz
Sampling Distributions and Standard Errors45мин
Неделя
2Confidence 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 видео ((всего 70 мин.)), 2 тестов
6 видео
Introduction2мин
Confidence Intervals for Single Population Parameters15мин
Confidence Intervals for Population Proportions and Incidence Rates15мин
So What Is a Confidence Interval, and How Should It Be Interpreted?13мин
A Note on Confidence Intervals for Population Quantities Based on Small Samples15мин
Additional Examples8мин
2 практического упражнения
Practice Quiz: Confidence Intervals for Single Population Parameters
Quiz: Confidence Intervals for Single Population Parameters
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 видео ((всего 121 мин.)), 2 тестов
8 видео
Introduction2мин
Confidence Intervals for Population Comparison Measures15мин
Confidence Intervals for Comparing Means of Continuous Outcomes Between Two Populations28мин
Confidence Intervals for Binary Comparisons: Part 1, Difference in Proportions12мин
Confidence Intervals for Binary Comparisons: Part 2, Ratio of Proportions and Odds Ratios24мин
Confidence Intervals for Incidence Rate Ratios10мин
A Brief Note About Ratios (Again)11мин
Additional Examples17мин
2 практического упражнения
Practice Quiz: Confidence Intervals for Population Comparison Measures
Confidence Intervals for Population Comparison Measures
Неделя
3Two-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 видео ((всего 95 мин.)), 2 тестов
6 видео
Introduction1мин
Hypothesis Testing: The General Concept, and for Comparing Means Between Two Populations17мин
(Hypothesis Testing) Comparing Means Between Two Populations: The Paired Approach21мин
(Hypothesis Testing) Comparing Means Between Two Populations: The Unpaired Approach20мин
Debriefing on the p-Value, Part 120мин
Additional Examples12мин
2 практического упражнения
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 Material
Неделя
4Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing
11 видео ((всего 138 мин.)), 2 тестов
11 видео
Introduction1мин
(Hypothesis Testing) Comparing Proportions Between Two Populations: The “z-Test” Approach12мин
(Hypothesis Testing) Comparing Proportions Between Two Populations: Chi-Square and Fisher’s Exact Test Approaches23мин
Hypothesis Tests for Comparing Incidence Rates Between Two Populations20мин
Debriefing on the p-Value and Hypothesis Testing, Part 28мин
Additional Examples8мин
Introduction2мин
(Hypothesis Testing) Comparing Means Between More Than Two Populations: Analysis of Variance (ANOVA)18мин
(Hypothesis Testing) Comparing Proportions Between More Than Two Populations: Chi-Square Tests14мин
Hypothesis Testing) Comparing Survival Curves Between More Than Two Populations: Log-Rank Tests8мин
Several Issues to Consider18мин
2 практического упражнения
Practice Quiz
Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing
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 материал для самостоятельного изучения, 1 тест
1 материал для самостоятельного изучения
Biostatistical Consulting Project30мин
1 практическое упражнение
Course Project Quiz
Преподаватель
John McGready, PhD, MS
Associate Scientist, BiostatisticsBloomberg School of Public Health
О Университет Джонса Хопкинса
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.
О специализации ''Biostatistics in Public Health '
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.
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