Об этом курсе
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Субтитры: Английский

Приобретаемые навыки

Clinical ResearchStatisticsStatistical AnalysisStatistical Hypothesis Testing

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Субтитры: Английский

Программа курса: что вы изучите

5 ч. на завершение

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.

11 видео ((всего 45 мин.)), 11 материалов для самостоятельного изучения, 2 тестов
11 видео
About the course2мин
Observing and intervening: Observational & experimental studies3мин
Observing and describing: Case series studies3мин
Comparing groups: Case-control studies3мин
Collecting data at one point in time: Cross-sectional studies3мин
Studying a group with common traits: Cohort studies4мин
Let's intervene: Experimental studies6мин
Working with existing research: Meta-analysis and Systematic Review4мин
Doing a literature search: Part 14мин
Doing a literature search: Part 26мин
11 материала для самостоятельного изучения
How this course works10мин
Pre-course survey10мин
Study types10мин
Key notes: Observational and experimental studies10мин
Key notes: Case series studies10мин
Key notes: Case-control studies10мин
Key notes: Cross-sectional studies10мин
Key notes: Cohort studies10мин
Key notes: Experimental studies10мин
Key notes: Meta-analysis and systematic review10мин
Peer review introduction10мин
1 практическое упражнение
Test your knowledge: Study types16мин
4 ч. на завершение

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.

15 видео ((всего 64 мин.)), 12 материалов для самостоятельного изучения, 4 тестов
15 видео
Some key concepts: Definitions4мин
Data types1мин
Arbitary classification: Nominal categorical data1мин
Natural ordering of attributes: Ordinal categorical data2мин
Measurements and numbers: Numerical data types3мин
How to tell the difference: Discrete and continuous variables3мин
Measures of central tendency5мин
Measures of dispersion6мин
(Optional) Setting up spreadsheet software to do your own analysis3мин
(Optional) Descriptive statistics using spreadsheet software9мин
Making inferences: Sampling5мин
Types of sampling3мин
Case study 19мин
12 материала для самостоятельного изучения
Key notes: Definitions10мин
Key notes: Data types10мин
Key notes: Nominal categorical data10мин
Key notes: Ordinal categorical data10мин
Key notes: Numerical data types10мин
Key notes: Discrete and continuous variables10мин
Key notes: Describing the data10мин
Key notes: Measures of central tendency10мин
Key notes: Measures of dispersion10мин
Visual representation of data10мин
Key notes: Sampling10мин
Key notes: Types of sampling10мин
4 практического упражнения
Test your knowledge: Data types10мин
Test your knowledge: Measures of central tendency and dispersion10мин
Test your knowledge: Sampling10мин
Week 2 Graded Quiz20мин
4 ч. на завершение

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.

14 видео ((всего 78 мин.)), 12 материалов для самостоятельного изучения, 4 тестов
14 видео
Working out the probability: Rolling dice5мин
Area under the curve: Continuous data types4мин
Introduction to the central limit theorem: The heart of probability theory1мин
Asymmetry and peakedness: Skewness and Kurtosis4мин
Learning from the lotto: Combinations4мин
Approximating a bell-shaped curve: The central limit theorem4мин
Patterns in the data: Distributions2мин
The bell-shaped curve: Normal distribution3мин
Plotting a sample statistic: Sampling distribution7мин
Standard normal distribution: Z distribution9мин
Estimating population parameters: t-distribution3мин
(Optional) Generating random data point values using spreadsheet software6мин
Case study 217мин
12 материала для самостоятельного изучения
Key notes: P-values10мин
Key notes: Rolling dice10мин
Key notes: Continuous data types10мин
Introduction to the central limit theorem10мин
Key notes: Skewness and kurtosis10мин
Key notes: Combinations10мин
Key notes: Central limit theorem10мин
Key notes: Distributions10мин
Key notes: Normal distribution10мин
Key notes: Sampling distribution10мин
Key notes: Z-distribution10мин
Key notes: The t-distibution10мин
4 практического упражнения
Test your knowledge: Probability10мин
Test your knowledge: The central limit theorem10мин
Test your knowledge: Distributions10мин
Week 3 Graded Quiz20мин
4 ч. на завершение

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.

8 видео ((всего 33 мин.)), 6 материалов для самостоятельного изучения, 3 тестов
8 видео
Testing assumptions: Null and alternative hypothesis3мин
Is there a difference?: Alternative Hypothesis4мин
Type I and II: Hypothesis testing errors3мин
Introduction to confidence intervals3мин
How confident are you?: Confidence levels3мин
Interval estimation: Confidence intervals3мин
(Optional) Calculating confidence intervals using spreadsheet software10мин
6 материала для самостоятельного изучения
Key notes: Null and alternative hypothesis10мин
Key notes: Alternative hypothesis10мин
Key notes: Hypothesis errors10мин
Key notes: Introduction to confidence intervals10мин
Key notes: Confidence levels10мин
Key notes: Confidence intervals10мин
2 практического упражнения
Testing your knowledge: Hypothesis10мин
Test your knowledge: Confidence intervals10мин
Рецензии: 285Chevron Right


начал новую карьеру, пройдя эти курсы


получил значимые преимущества в карьере благодаря этому курсу

Лучшие отзывы о курсе Understanding Clinical Research: Behind the Statistics

автор: AMDec 16th 2018

Klopper MD is a great teacher. There are other courses from another top universities about this topic, but I think this is my favourite. This the shortest in duration and most comprehensive among all.

автор: 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!



Juan H Klopper

Department of Surgery

О Кейптаунский университет

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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