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234 個審閱
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完成時間(小時)

完成時間大約為22 小時

建議:6 weeks of study, 2-3 hours/week...
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英語(English)

字幕:英語(English)...

您將獲得的技能

Clinical ResearchStatisticsStatistical AnalysisStatistical Hypothesis Testing
100% online

100% online

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為22 小時

建議:6 weeks of study, 2-3 hours/week...
可選語言

英語(English)

字幕:英語(English)...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 5 小時

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 個視頻(共 45 分鐘), 11 個閱讀材料, 2 個測驗
Video11 個視頻
About the course2分鐘
Observing and intervening: Observational & experimental studies3分鐘
Observing and describing: Case series studies3分鐘
Comparing groups: Case-control studies3分鐘
Collecting data at one point in time: Cross-sectional studies3分鐘
Studying a group with common traits: Cohort studies4分鐘
Let's intervene: Experimental studies6分鐘
Working with existing research: Meta-analysis and Systematic Review4分鐘
Doing a literature search: Part 14分鐘
Doing a literature search: Part 26分鐘
Reading11 個閱讀材料
How this course works10分鐘
Pre-course survey10分鐘
Study types10分鐘
Key notes: Observational and experimental studies10分鐘
Key notes: Case series studies10分鐘
Key notes: Case-control studies10分鐘
Key notes: Cross-sectional studies10分鐘
Key notes: Cohort studies10分鐘
Key notes: Experimental studies10分鐘
Key notes: Meta-analysis and systematic review10分鐘
Peer review introduction10分鐘
Quiz1 個練習
Test your knowledge: Study types16分鐘
2
完成時間(小時)
完成時間為 4 小時

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 個視頻(共 64 分鐘), 12 個閱讀材料, 4 個測驗
Video15 個視頻
Some key concepts: Definitions4分鐘
Data types1分鐘
Arbitary classification: Nominal categorical data1分鐘
Natural ordering of attributes: Ordinal categorical data2分鐘
Measurements and numbers: Numerical data types3分鐘
How to tell the difference: Discrete and continuous variables3分鐘
Introduction1分鐘
Measures of central tendency5分鐘
Measures of dispersion6分鐘
(Optional) Setting up spreadsheet software to do your own analysis3分鐘
(Optional) Descriptive statistics using spreadsheet software9分鐘
Making inferences: Sampling5分鐘
Types of sampling3分鐘
Case study 19分鐘
Reading12 個閱讀材料
Key notes: Definitions10分鐘
Key notes: Data types10分鐘
Key notes: Nominal categorical data10分鐘
Key notes: Ordinal categorical data10分鐘
Key notes: Numerical data types10分鐘
Key notes: Discrete and continuous variables10分鐘
Key notes: Describing the data10分鐘
Key notes: Measures of central tendency10分鐘
Key notes: Measures of dispersion10分鐘
Visual representation of data10分鐘
Key notes: Sampling10分鐘
Key notes: Types of sampling10分鐘
Quiz4 個練習
Test your knowledge: Data types10分鐘
Test your knowledge: Measures of central tendency and dispersion10分鐘
Test your knowledge: Sampling10分鐘
Week 2 Graded Quiz20分鐘
3
完成時間(小時)
完成時間為 4 小時

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 個視頻(共 78 分鐘), 12 個閱讀材料, 4 個測驗
Video14 個視頻
Working out the probability: Rolling dice5分鐘
Area under the curve: Continuous data types4分鐘
Introduction to the central limit theorem: The heart of probability theory1分鐘
Asymmetry and peakedness: Skewness and Kurtosis4分鐘
Learning from the lotto: Combinations4分鐘
Approximating a bell-shaped curve: The central limit theorem4分鐘
Patterns in the data: Distributions2分鐘
The bell-shaped curve: Normal distribution3分鐘
Plotting a sample statistic: Sampling distribution7分鐘
Standard normal distribution: Z distribution9分鐘
Estimating population parameters: t-distribution3分鐘
(Optional) Generating random data point values using spreadsheet software6分鐘
Case study 217分鐘
Reading12 個閱讀材料
Key notes: P-values10分鐘
Key notes: Rolling dice10分鐘
Key notes: Continuous data types10分鐘
Introduction to the central limit theorem10分鐘
Key notes: Skewness and kurtosis10分鐘
Key notes: Combinations10分鐘
Key notes: Central limit theorem10分鐘
Key notes: Distributions10分鐘
Key notes: Normal distribution10分鐘
Key notes: Sampling distribution10分鐘
Key notes: Z-distribution10分鐘
Key notes: The t-distibution10分鐘
Quiz4 個練習
Test your knowledge: Probability10分鐘
Test your knowledge: The central limit theorem10分鐘
Test your knowledge: Distributions10分鐘
Week 3 Graded Quiz20分鐘
4
完成時間(小時)
完成時間為 4 小時

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 個視頻(共 33 分鐘), 6 個閱讀材料, 3 個測驗
Video8 個視頻
Testing assumptions: Null and alternative hypothesis3分鐘
Is there a difference?: Alternative Hypothesis4分鐘
Type I and II: Hypothesis testing errors3分鐘
Introduction to confidence intervals3分鐘
How confident are you?: Confidence levels3分鐘
Interval estimation: Confidence intervals3分鐘
(Optional) Calculating confidence intervals using spreadsheet software10分鐘
Reading6 個閱讀材料
Key notes: Null and alternative hypothesis10分鐘
Key notes: Alternative hypothesis10分鐘
Key notes: Hypothesis errors10分鐘
Key notes: Introduction to confidence intervals10分鐘
Key notes: Confidence levels10分鐘
Key notes: Confidence intervals10分鐘
Quiz2 個練習
Testing your knowledge: Hypothesis10分鐘
Test your knowledge: Confidence intervals10分鐘
4.7
職業方向

18%

完成這些課程後已開始新的職業生涯
工作福利

83%

通過此課程獲得實實在在的工作福利
職業晉升

10%

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創建者 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!

創建者 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!

講師

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Juan H Klopper

Dr
Department of Surgery

關於 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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