À propos de ce cours
4.7
826 notes
242 avis
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100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
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Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Heures pour terminer

Approx. 22 heures pour terminer

Recommandé : 6 weeks of study, 2-3 hours/week...
Langues disponibles

Anglais

Sous-titres : Anglais

Compétences que vous acquerrez

Clinical ResearchStatisticsStatistical AnalysisStatistical Hypothesis Testing
100 % en ligne

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Heures pour terminer

Approx. 22 heures pour terminer

Recommandé : 6 weeks of study, 2-3 hours/week...
Langues disponibles

Anglais

Sous-titres : Anglais

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
Heures pour terminer
5 heures pour terminer

Getting things started by defining study types

Welcome to the first week of this course. We’ll be tackling five broad topics to provide you with an intuitive understanding of clinical research results. This isn’t a comprehensive statistics course, but it offers a practical orientation to the field of medical research and commonly used statistical analysis. The first topics will look at research methods and the collection of data - with a specific focus on study types. By the end of the lectures you should be able to identify which study types are being used and why the researchers selected them when you are reading a paper....
Reading
11 vidéos (Total 45 min), 11 lectures, 2 quiz
Video11 vidéos
About the course2 min
Observing and intervening: Observational & experimental studies3 min
Observing and describing: Case series studies3 min
Comparing groups: Case-control studies3 min
Collecting data at one point in time: Cross-sectional studies3 min
Studying a group with common traits: Cohort studies4 min
Let's intervene: Experimental studies6 min
Working with existing research: Meta-analysis and Systematic Review4 min
Doing a literature search: Part 14 min
Doing a literature search: Part 26 min
Reading11 lectures
How this course works10 min
Pre-course survey10 min
Study types10 min
Key notes: Observational and experimental studies10 min
Key notes: Case series studies10 min
Key notes: Case-control studies10 min
Key notes: Cross-sectional studies10 min
Key notes: Cohort studies10 min
Key notes: Experimental studies10 min
Key notes: Meta-analysis and systematic review10 min
Peer review introduction10 min
Quiz1 exercice pour s'entraîner
Test your knowledge: Study types16 min
Semaine
2
Heures pour terminer
4 heures pour terminer

Describing your data

With the next topics, we finally get started with the statistics. Have you ever looked at the methods and results section of any healthcare research publication and noted the variety of statistical tests used? You would have come across terms like t-test, Mann-Whitney-U test, Wilcoxon test, Fisher’s exact test and the ubiquitous chi-squared test. Why so many tests you might wonder? It’s all about types of data. In this week, I am going to tackle the differences in data which determine what type of statistical test we can use in making sense of our data....
Reading
15 vidéos (Total 64 min), 12 lectures, 4 quiz
Video15 vidéos
Some key concepts: Definitions4 min
Data types1 min
Arbitary classification: Nominal categorical data1 min
Natural ordering of attributes: Ordinal categorical data2 min
Measurements and numbers: Numerical data types3 min
How to tell the difference: Discrete and continuous variables3 min
Introduction1 min
Measures of central tendency5 min
Measures of dispersion6 min
(Optional) Setting up spreadsheet software to do your own analysis3 min
(Optional) Descriptive statistics using spreadsheet software9 min
Making inferences: Sampling5 min
Types of sampling3 min
Case study 19 min
Reading12 lectures
Key notes: Definitions10 min
Key notes: Data types10 min
Key notes: Nominal categorical data10 min
Key notes: Ordinal categorical data10 min
Key notes: Numerical data types10 min
Key notes: Discrete and continuous variables10 min
Key notes: Describing the data10 min
Key notes: Measures of central tendency10 min
Key notes: Measures of dispersion10 min
Visual representation of data10 min
Key notes: Sampling10 min
Key notes: Types of sampling10 min
Quiz4 exercices pour s'entraîner
Test your knowledge: Data types10 min
Test your knowledge: Measures of central tendency and dispersion10 min
Test your knowledge: Sampling10 min
Week 2 Graded Quiz20 min
Semaine
3
Heures pour terminer
4 heures pour terminer

Building an intuitive understanding of statistical analysis

There is hardly any healthcare professional who is unfamiliar with the p-value. It is usually understood to have a watershed value of 0.05. If a research question is evaluated through the collection of data points and statistical analysis reveals a value less that 0.05, we accept this a proof that some significant difference was found, at least statistically.In reality things are a bit more complicated than that. The literature is currently full of questions about the ubiquitous p-vale and why it is not the panacea many of us have used it as. During this week you will develop an intuitive understanding of concept of a p-value. From there, I'll move on to the heart of probability theory, the Central Limit Theorem and data distribution....
Reading
14 vidéos (Total 78 min), 12 lectures, 4 quiz
Video14 vidéos
Working out the probability: Rolling dice5 min
Area under the curve: Continuous data types4 min
Introduction to the central limit theorem: The heart of probability theory1 min
Asymmetry and peakedness: Skewness and Kurtosis4 min
Learning from the lotto: Combinations4 min
Approximating a bell-shaped curve: The central limit theorem4 min
Patterns in the data: Distributions2 min
The bell-shaped curve: Normal distribution3 min
Plotting a sample statistic: Sampling distribution7 min
Standard normal distribution: Z distribution9 min
Estimating population parameters: t-distribution3 min
(Optional) Generating random data point values using spreadsheet software6 min
Case study 217 min
Reading12 lectures
Key notes: P-values10 min
Key notes: Rolling dice10 min
Key notes: Continuous data types10 min
Introduction to the central limit theorem10 min
Key notes: Skewness and kurtosis10 min
Key notes: Combinations10 min
Key notes: Central limit theorem10 min
Key notes: Distributions10 min
Key notes: Normal distribution10 min
Key notes: Sampling distribution10 min
Key notes: Z-distribution10 min
Key notes: The t-distibution10 min
Quiz4 exercices pour s'entraîner
Test your knowledge: Probability10 min
Test your knowledge: The central limit theorem10 min
Test your knowledge: Distributions10 min
Week 3 Graded Quiz20 min
Semaine
4
Heures pour terminer
4 heures pour terminer

The important first steps: Hypothesis testing and confidence levels

In general, a researcher has a question in mind that he or she needs an answer to. Everyone might have an opinion on the question (or answer), but an investigator looks for the answer by designing an experiment and investigating the outcome. In the first lesson we will look at hypotheses and how they relate to ethical and unbiased research and reporting.We'll also tackle Confidence intervals which I believe are one of the least understood and often misrepresented values in healthcare research. The most common tests used in the literature to compare numerical data point values are t-tests, analysis of variance, and linear regression. In the last lesson we take a closer look at these tests, but perhaps more importantly, their strict assumptions. ...
Reading
8 vidéos (Total 33 min), 6 lectures, 3 quiz
Video8 vidéos
Testing assumptions: Null and alternative hypothesis3 min
Is there a difference?: Alternative Hypothesis4 min
Type I and II: Hypothesis testing errors3 min
Introduction to confidence intervals3 min
How confident are you?: Confidence levels3 min
Interval estimation: Confidence intervals3 min
(Optional) Calculating confidence intervals using spreadsheet software10 min
Reading6 lectures
Key notes: Null and alternative hypothesis10 min
Key notes: Alternative hypothesis10 min
Key notes: Hypothesis errors10 min
Key notes: Introduction to confidence intervals10 min
Key notes: Confidence levels10 min
Key notes: Confidence intervals10 min
Quiz2 exercices pour s'entraîner
Testing your knowledge: Hypothesis10 min
Test your knowledge: Confidence intervals10 min
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Meilleurs avis

par LKJul 29th 2017

Great course!! it is gonna provide you a good foundation in clinical studies if you want to start your career in clinical research! Clear explanation and comprehensive case study! highly recommended!

par DSMay 27th 2018

I'm very new at this theme, this course has being the perfect beginning. If you don't have a mathematical background and you don't understand when the funny S appear, this is the course for you!

Enseignant

Avatar

Juan H Klopper

Dr
Department of Surgery

À propos de University of Cape Town

The University of Cape Town is the oldest university in South Africa and is one of the leading research universities on the African continent. UCT has over 25 000 students, of whom 30% are postgraduate students. We offer degrees in six faculties: Commerce, Engineering & the Built Environment, Health Sciences, Humanities, Law, and Science. We pride ourself on our diverse student body, which reflects the many cultures and backgrounds of the region. We welcome international students and are currently home to thousands of international students from over 100 countries. UCT has a tradition of academic excellence that is respected world-wide and is privileged to have more than 30 A-rated researchers on our staff, all of whom are recognised as world leaders in their field. Our aim is to ensure that our research contributes to the public good through sharing knowledge for the benefit of society. Past students include five Nobel Laureates – Max Theiler, Alan Cormack, Sir Aaron Klug, Ralph Bunche and, most recently, J M Coetzee....

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