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.
Este curso forma parte de Programa Especializado - Biostatistics in Public Health
Hypothesis Testing in Public Health
ofrecido por
Acerca de este Curso
5.0
1 calificaciones
Qué aprenderás
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
Habilidades que obtendrás
Confidence IntervalStatistical Hypothesis Testingp valuessampling
Programa - Qué aprenderás en este curso
Semana
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 videos (Total 90 minutos), 2 quizzes
7 videos
Sampling Distribution Definition9m
Examples: Sampling Distribution for a Single Mean16m
Examples: Sampling Distribution for a Single Proportion, Incidence Rate16m
Estimating Sampling Distribution Characteristics from Single Samples of Data22m
Additional Examples7m
Examples: Sampling Distribution for a Single Proportion, Incidence Rate (coursera test)16m
2 ejercicios de práctica
Practice Quizs
Sampling Distributions and Standard Errors45m
Semana
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 videos (Total 70 minutos), 2 quizzes
6 videos
Confidence Intervals for Single Population Parameters15m
Confidence Intervals for Population Proportions and Incidence Rates15m
So What Is a Confidence Interval, and How Should It Be Interpreted?13m
A Note on Confidence Intervals for Population Quantities Based on Small Samples15m
Additional Examples8m
2 ejercicios de práctica
Practice Quiz: Confidence Intervals for Single Population Parameterss
Quiz: Confidence Intervals for Single Population Parameterss
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 videos (Total 121 minutos), 2 quizzes
8 videos
Confidence Intervals for Population Comparison Measures15m
Confidence Intervals for Comparing Means of Continuous Outcomes Between Two Populations28m
Confidence Intervals for Binary Comparisons: Part 1, Difference in Proportions12m
Confidence Intervals for Binary Comparisons: Part 2, Ratio of Proportions and Odds Ratios24m
Confidence Intervals for Incidence Rate Ratios10m
A Brief Note About Ratios (Again)11m
Additional Examples17m
2 ejercicios de práctica
Practice Quiz: Confidence Intervals for Population Comparison Measuress
Confidence Intervals for Population Comparison Measuress
Semana
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 videos (Total 95 minutos), 2 quizzes
6 videos
Hypothesis Testing: The General Concept, and for Comparing Means Between Two Populations17m
(Hypothesis Testing) Comparing Means Between Two Populations: The Paired Approach21m
(Hypothesis Testing) Comparing Means Between Two Populations: The Unpaired Approach20m
Debriefing on the p-Value, Part 120m
Additional Examples12m
2 ejercicios de práctica
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 Materials
Semana
4Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing
11 videos (Total 138 minutos), 2 quizzes
11 videos
(Hypothesis Testing) Comparing Proportions Between Two Populations: The “z-Test” Approach12m
(Hypothesis Testing) Comparing Proportions Between Two Populations: Chi-Square and Fisher’s Exact Test Approaches23m
Hypothesis Tests for Comparing Incidence Rates Between Two Populations20m
Debriefing on the p-Value and Hypothesis Testing, Part 28m
Additional Examples8m
Introduction2m
(Hypothesis Testing) Comparing Means Between More Than Two Populations: Analysis of Variance (ANOVA)18m
(Hypothesis Testing) Comparing Proportions Between More Than Two Populations: Chi-Square Tests14m
Hypothesis Testing) Comparing Survival Curves Between More Than Two Populations: Log-Rank Tests8m
Several Issues to Consider18m
2 ejercicios de práctica
Practice Quizs
Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testings
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 reading, 1 quiz
1 lectura
Biostatistical Consulting Project30m
1 ejercicio de práctica
Course Project Quizs
Instructor
John McGready, PhD, MS
Associate Scientist, BiostatisticsBloomberg School of Public Health
Acerca de Universidad Johns Hopkins
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.
Acerca del programa especializado 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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