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 faz parte do Programa de cursos integrados Biostatistics in Public Health
oferecido por
Programa de cursos integrados Biostatistics in Public Health Universidade Johns HopkinsInformações sobre o curso
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Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 2 de 4 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Aprox. 19 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Chinês (simplificado), Italiano, Vietnamita, Coreano, Alemão, Russo, Turco, Inglês, Espanhol
O que você vai aprender
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 você terá
Confidence IntervalStatistical Hypothesis Testingp valuessampling
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 2 de 4 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Aprox. 19 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Chinês (simplificado), Italiano, Vietnamita, Coreano, Alemão, Russo, Turco, Inglês, Espanhol
oferecido por
Universidade 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.
Programa - O que você aprenderá com este curso
3 horas para concluir
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.
3 horas para concluir
7 vídeos (Total 90 mín.), 1 leitura, 2 testes
7 videos
Introduction2min
Sampling Distribution Definition9min
Examples: Sampling Distribution for a Single Mean16min
Examples: Sampling Distribution for a Single Proportion, Incidence Rate16min
Estimating Sampling Distribution Characteristics from Single Samples of Data22min
Additional Examples7min
Examples: Sampling Distribution for a Single Proportion, Incidence Rate (coursera test)16min
1 leituras
Formative Quiz 1 Solutions10min
2 exercícios práticos
Practice Quiz1h
Sampling Distributions and Standard Errors45min
3 horas para concluir
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.
3 horas para concluir
6 vídeos (Total 70 mín.), 1 leitura, 2 testes
6 videos
Introduction2min
Confidence Intervals for Single Population Parameters15min
Confidence Intervals for Population Proportions and Incidence Rates15min
So What Is a Confidence Interval, and How Should It Be Interpreted?13min
A Note on Confidence Intervals for Population Quantities Based on Small Samples15min
Additional Examples8min
1 leituras
Formative Quiz 2 Solutions10min
2 exercícios práticos
Practice Quiz: Confidence Intervals for Single Population Parameters1h
Quiz: Confidence Intervals for Single Population Parameters1h
4 horas para concluir
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.
4 horas para concluir
8 vídeos (Total 121 mín.), 1 leitura, 2 testes
8 videos
Introduction2min
Confidence Intervals for Population Comparison Measures15min
Confidence Intervals for Comparing Means of Continuous Outcomes Between Two Populations28min
Confidence Intervals for Binary Comparisons: Part 1, Difference in Proportions12min
Confidence Intervals for Binary Comparisons: Part 2, Ratio of Proportions and Odds Ratios24min
Confidence Intervals for Incidence Rate Ratios10min
A Brief Note About Ratios (Again)11min
Additional Examples17min
1 leituras
Solutions, Formative Assessment10min
2 exercícios práticos
Practice Quiz: Confidence Intervals for Population Comparison Measures1h
Confidence Intervals for Population Comparison Measures1h
3 horas para concluir
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.
3 horas para concluir
6 vídeos (Total 95 mín.), 1 leitura, 2 testes
6 videos
Introduction1min
Hypothesis Testing: The General Concept, and for Comparing Means Between Two Populations17min
(Hypothesis Testing) Comparing Means Between Two Populations: The Paired Approach21min
(Hypothesis Testing) Comparing Means Between Two Populations: The Unpaired Approach20min
Debriefing on the p-Value, Part 120min
Additional Examples12min
1 leituras
Solutions, Formative Asessment10min
2 exercícios práticos
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 Material1h
4 horas para concluir
Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing
4 horas para concluir
11 vídeos (Total 138 mín.)
11 videos
Introduction1min
(Hypothesis Testing) Comparing Proportions Between Two Populations: The “z-Test” Approach12min
(Hypothesis Testing) Comparing Proportions Between Two Populations: Chi-Square and Fisher’s Exact Test Approaches23min
Hypothesis Tests for Comparing Incidence Rates Between Two Populations20min
Debriefing on the p-Value and Hypothesis Testing, Part 28min
Additional Examples8min
Introduction2min
(Hypothesis Testing) Comparing Means Between More Than Two Populations: Analysis of Variance (ANOVA)18min
(Hypothesis Testing) Comparing Proportions Between More Than Two Populations: Chi-Square Tests14min
Hypothesis Testing) Comparing Survival Curves Between More Than Two Populations: Log-Rank Tests8min
Several Issues to Consider18min
2 exercícios práticos
Practice Quiz1h
Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing1h
2 horas para concluir
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.
2 horas para concluir
1 leitura
1 leituras
Biostatistical Consulting Project30min
1 exercício prático
Course Project Quiz1h
Avaliações
Principais avaliações do TESTES DE HIPÓTESES EM SAÚDE PÚBLICA
por SF21 de Mai de 2020
You have to use outside sources and practice questions to really understand the material. This course makes you think and demands that you know the information. It was a great class. Thank you.
por RC23 de Jun de 2020
Huge coverage of hypothesis testing. Some lectures were quite repetitive or similar in nature and those could be reshaped as it seemed puzzling and boring. However, It was an informative one.
por DK18 de Jul de 2020
excellant descriptions, good examples and challenging practice sessions. Better if some more were added about ANOVA also. If it is considered as advanced , then it is ok. Good experience
por AR26 de Mai de 2019
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.
Sobre Programa de cursos integrados 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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