课程信息
4.7
808 个评分
234 个审阅
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为22 小时

建议:6 weeks of study, 2-3 hours/week...
可选语言

英语(English)

字幕:英语(English)...

您将获得的技能

Clinical ResearchStatisticsStatistical AnalysisStatistical Hypothesis Testing
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为22 小时

建议:6 weeks of study, 2-3 hours/week...
可选语言

英语(English)

字幕:英语(English)...

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 5 小时

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 个视频(共 45 分钟), 11 个阅读材料, 2 个测验
Video11 个视频
About the course2分钟
Observing and intervening: Observational & experimental studies3分钟
Observing and describing: Case series studies3分钟
Comparing groups: Case-control studies3分钟
Collecting data at one point in time: Cross-sectional studies3分钟
Studying a group with common traits: Cohort studies4分钟
Let's intervene: Experimental studies6分钟
Working with existing research: Meta-analysis and Systematic Review4分钟
Doing a literature search: Part 14分钟
Doing a literature search: Part 26分钟
Reading11 个阅读材料
How this course works10分钟
Pre-course survey10分钟
Study types10分钟
Key notes: Observational and experimental studies10分钟
Key notes: Case series studies10分钟
Key notes: Case-control studies10分钟
Key notes: Cross-sectional studies10分钟
Key notes: Cohort studies10分钟
Key notes: Experimental studies10分钟
Key notes: Meta-analysis and systematic review10分钟
Peer review introduction10分钟
Quiz1 个练习
Test your knowledge: Study types16分钟
2
完成时间(小时)
完成时间为 4 小时

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 个视频(共 64 分钟), 12 个阅读材料, 4 个测验
Video15 个视频
Some key concepts: Definitions4分钟
Data types1分钟
Arbitary classification: Nominal categorical data1分钟
Natural ordering of attributes: Ordinal categorical data2分钟
Measurements and numbers: Numerical data types3分钟
How to tell the difference: Discrete and continuous variables3分钟
Introduction1分钟
Measures of central tendency5分钟
Measures of dispersion6分钟
(Optional) Setting up spreadsheet software to do your own analysis3分钟
(Optional) Descriptive statistics using spreadsheet software9分钟
Making inferences: Sampling5分钟
Types of sampling3分钟
Case study 19分钟
Reading12 个阅读材料
Key notes: Definitions10分钟
Key notes: Data types10分钟
Key notes: Nominal categorical data10分钟
Key notes: Ordinal categorical data10分钟
Key notes: Numerical data types10分钟
Key notes: Discrete and continuous variables10分钟
Key notes: Describing the data10分钟
Key notes: Measures of central tendency10分钟
Key notes: Measures of dispersion10分钟
Visual representation of data10分钟
Key notes: Sampling10分钟
Key notes: Types of sampling10分钟
Quiz4 个练习
Test your knowledge: Data types10分钟
Test your knowledge: Measures of central tendency and dispersion10分钟
Test your knowledge: Sampling10分钟
Week 2 Graded Quiz20分钟
3
完成时间(小时)
完成时间为 4 小时

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 个视频(共 78 分钟), 12 个阅读材料, 4 个测验
Video14 个视频
Working out the probability: Rolling dice5分钟
Area under the curve: Continuous data types4分钟
Introduction to the central limit theorem: The heart of probability theory1分钟
Asymmetry and peakedness: Skewness and Kurtosis4分钟
Learning from the lotto: Combinations4分钟
Approximating a bell-shaped curve: The central limit theorem4分钟
Patterns in the data: Distributions2分钟
The bell-shaped curve: Normal distribution3分钟
Plotting a sample statistic: Sampling distribution7分钟
Standard normal distribution: Z distribution9分钟
Estimating population parameters: t-distribution3分钟
(Optional) Generating random data point values using spreadsheet software6分钟
Case study 217分钟
Reading12 个阅读材料
Key notes: P-values10分钟
Key notes: Rolling dice10分钟
Key notes: Continuous data types10分钟
Introduction to the central limit theorem10分钟
Key notes: Skewness and kurtosis10分钟
Key notes: Combinations10分钟
Key notes: Central limit theorem10分钟
Key notes: Distributions10分钟
Key notes: Normal distribution10分钟
Key notes: Sampling distribution10分钟
Key notes: Z-distribution10分钟
Key notes: The t-distibution10分钟
Quiz4 个练习
Test your knowledge: Probability10分钟
Test your knowledge: The central limit theorem10分钟
Test your knowledge: Distributions10分钟
Week 3 Graded Quiz20分钟
4
完成时间(小时)
完成时间为 4 小时

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 个视频(共 33 分钟), 6 个阅读材料, 3 个测验
Video8 个视频
Testing assumptions: Null and alternative hypothesis3分钟
Is there a difference?: Alternative Hypothesis4分钟
Type I and II: Hypothesis testing errors3分钟
Introduction to confidence intervals3分钟
How confident are you?: Confidence levels3分钟
Interval estimation: Confidence intervals3分钟
(Optional) Calculating confidence intervals using spreadsheet software10分钟
Reading6 个阅读材料
Key notes: Null and alternative hypothesis10分钟
Key notes: Alternative hypothesis10分钟
Key notes: Hypothesis errors10分钟
Key notes: Introduction to confidence intervals10分钟
Key notes: Confidence levels10分钟
Key notes: Confidence intervals10分钟
Quiz2 个练习
Testing your knowledge: Hypothesis10分钟
Test your knowledge: Confidence intervals10分钟
4.7
234 个审阅Chevron Right
职业方向

18%

完成这些课程后已开始新的职业生涯
工作福利

83%

通过此课程获得实实在在的工作福利
职业晋升

10%

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热门审阅

创建者 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!

创建者 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!

讲师

Avatar

Juan H Klopper

Dr
Department of Surgery

关于 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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