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.
Ce cours fait partie de la Spécialisation Biostatistics in Public Health
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Spécialisation Biostatistics in Public Health Université Johns-HopkinsÀ propos de ce cours
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Cours 2 sur 4 dans le
Niveau débutant
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Approx. 19 heures pour terminer
Anglais
Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Anglais, Espagnol
Ce que vous allez apprendre
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
Compétences que vous acquerrez
- Confidence Interval
- Statistical Hypothesis Testing
- p values
- sampling
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 2 sur 4 dans le
Niveau débutant
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Approx. 19 heures pour terminer
Anglais
Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Anglais, Espagnol
Offert par
Université 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.
Programme de cours : ce que vous apprendrez dans ce cours
3 heures pour terminer
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 heures pour terminer
6 vidéos (Total 74 min), 1 lecture, 2 quiz
3 heures pour terminer
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 heures pour terminer
6 vidéos (Total 70 min), 1 lecture, 2 quiz
4 heures pour terminer
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 heures pour terminer
8 vidéos (Total 121 min), 1 lecture, 2 quiz
3 heures pour terminer
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 heures pour terminer
6 vidéos (Total 95 min), 1 lecture, 2 quiz
4 heures pour terminer
Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing
4 heures pour terminer
11 vidéos (Total 138 min)
2 heures pour terminer
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 heures pour terminer
1 lecture
Avis
- 5 stars84,98 %
- 4 stars13 %
- 3 stars1,28 %
- 2 stars0,36 %
- 1 star0,36 %
Meilleurs avis pour TESTS D'HYPOTHÈSES DANS LA SANTÉ PUBLIQUE
par MZ15 août 2022
it was amazing to learn from such a good mentor. I learn about many things that I didn't know. I learn more about the thing that I've already known.
par HK1 oct. 2020
This was a very well structured course, so many of those examples do make things a lot more easier to understand. Absolutely loved it!
par SF21 mai 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.
par AB5 avr. 2020
Great overview of basic hypothesis testing for means, proportions, and survival curves. Only additional thing that would be nice was a deeper review of the code involved in R.
À propos du Spécialisation 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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