Informações sobre o curso
4.7
822 classificações
240 avaliações
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 22 horas para completar

Sugerido: 6 weeks of study, 2-3 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Habilidades que você terá

Clinical ResearchStatisticsStatistical AnalysisStatistical Hypothesis Testing
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 22 horas para completar

Sugerido: 6 weeks of study, 2-3 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
5 horas para concluir

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 videos (Total 45 min), 11 leituras, 2 testes
Video11 videos
About the course2min
Observing and intervening: Observational & experimental studies3min
Observing and describing: Case series studies3min
Comparing groups: Case-control studies3min
Collecting data at one point in time: Cross-sectional studies3min
Studying a group with common traits: Cohort studies4min
Let's intervene: Experimental studies6min
Working with existing research: Meta-analysis and Systematic Review4min
Doing a literature search: Part 14min
Doing a literature search: Part 26min
Reading11 leituras
How this course works10min
Pre-course survey10min
Study types10min
Key notes: Observational and experimental studies10min
Key notes: Case series studies10min
Key notes: Case-control studies10min
Key notes: Cross-sectional studies10min
Key notes: Cohort studies10min
Key notes: Experimental studies10min
Key notes: Meta-analysis and systematic review10min
Peer review introduction10min
Quiz1 exercício prático
Test your knowledge: Study types16min
Semana
2
Horas para completar
4 horas para concluir

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 videos (Total 64 min), 12 leituras, 4 testes
Video15 videos
Some key concepts: Definitions4min
Data types1min
Arbitary classification: Nominal categorical data1min
Natural ordering of attributes: Ordinal categorical data2min
Measurements and numbers: Numerical data types3min
How to tell the difference: Discrete and continuous variables3min
Introduction1min
Measures of central tendency5min
Measures of dispersion6min
(Optional) Setting up spreadsheet software to do your own analysis3min
(Optional) Descriptive statistics using spreadsheet software9min
Making inferences: Sampling5min
Types of sampling3min
Case study 19min
Reading12 leituras
Key notes: Definitions10min
Key notes: Data types10min
Key notes: Nominal categorical data10min
Key notes: Ordinal categorical data10min
Key notes: Numerical data types10min
Key notes: Discrete and continuous variables10min
Key notes: Describing the data10min
Key notes: Measures of central tendency10min
Key notes: Measures of dispersion10min
Visual representation of data10min
Key notes: Sampling10min
Key notes: Types of sampling10min
Quiz4 exercícios práticos
Test your knowledge: Data types10min
Test your knowledge: Measures of central tendency and dispersion10min
Test your knowledge: Sampling10min
Week 2 Graded Quiz20min
Semana
3
Horas para completar
4 horas para concluir

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 videos (Total 78 min), 12 leituras, 4 testes
Video14 videos
Working out the probability: Rolling dice5min
Area under the curve: Continuous data types4min
Introduction to the central limit theorem: The heart of probability theory1min
Asymmetry and peakedness: Skewness and Kurtosis4min
Learning from the lotto: Combinations4min
Approximating a bell-shaped curve: The central limit theorem4min
Patterns in the data: Distributions2min
The bell-shaped curve: Normal distribution3min
Plotting a sample statistic: Sampling distribution7min
Standard normal distribution: Z distribution9min
Estimating population parameters: t-distribution3min
(Optional) Generating random data point values using spreadsheet software6min
Case study 217min
Reading12 leituras
Key notes: P-values10min
Key notes: Rolling dice10min
Key notes: Continuous data types10min
Introduction to the central limit theorem10min
Key notes: Skewness and kurtosis10min
Key notes: Combinations10min
Key notes: Central limit theorem10min
Key notes: Distributions10min
Key notes: Normal distribution10min
Key notes: Sampling distribution10min
Key notes: Z-distribution10min
Key notes: The t-distibution10min
Quiz4 exercícios práticos
Test your knowledge: Probability10min
Test your knowledge: The central limit theorem10min
Test your knowledge: Distributions10min
Week 3 Graded Quiz20min
Semana
4
Horas para completar
4 horas para concluir

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 videos (Total 33 min), 6 leituras, 3 testes
Video8 videos
Testing assumptions: Null and alternative hypothesis3min
Is there a difference?: Alternative Hypothesis4min
Type I and II: Hypothesis testing errors3min
Introduction to confidence intervals3min
How confident are you?: Confidence levels3min
Interval estimation: Confidence intervals3min
(Optional) Calculating confidence intervals using spreadsheet software10min
Reading6 leituras
Key notes: Null and alternative hypothesis10min
Key notes: Alternative hypothesis10min
Key notes: Hypothesis errors10min
Key notes: Introduction to confidence intervals10min
Key notes: Confidence levels10min
Key notes: Confidence intervals10min
Quiz2 exercícios práticos
Testing your knowledge: Hypothesis10min
Test your knowledge: Confidence intervals10min
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Melhores avaliações

por 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!

por 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!

Instrutores

Avatar

Juan H Klopper

Dr
Department of Surgery

Sobre 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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