このコースについて
4.7
875件の評価
254件のレビュー
100%オンライン

100%オンライン

自分のスケジュールですぐに学習を始めてください。
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柔軟性のある期限

スケジュールに従って期限をリセットします。
修了時間

約23時間で修了

推奨:6 weeks of study, 2-3 hours/week...
利用可能な言語

英語

字幕:英語

習得するスキル

Clinical ResearchStatisticsStatistical AnalysisStatistical Hypothesis Testing
100%オンライン

100%オンライン

自分のスケジュールですぐに学習を始めてください。
柔軟性のある期限

柔軟性のある期限

スケジュールに従って期限をリセットします。
修了時間

約23時間で修了

推奨:6 weeks of study, 2-3 hours/week...
利用可能な言語

英語

字幕:英語

シラバス - 本コースの学習内容

1
修了時間
5時間で修了

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 readings, 2 quizzes
Video11件のビデオ
About the course2 分
Observing and intervening: Observational & experimental studies3 分
Observing and describing: Case series studies3 分
Comparing groups: Case-control studies3 分
Collecting data at one point in time: Cross-sectional studies3 分
Studying a group with common traits: Cohort studies4 分
Let's intervene: Experimental studies6 分
Working with existing research: Meta-analysis and Systematic Review4 分
Doing a literature search: Part 14 分
Doing a literature search: Part 26 分
Reading11件の学習用教材
How this course works10 分
Pre-course survey10 分
Study types10 分
Key notes: Observational and experimental studies10 分
Key notes: Case series studies10 分
Key notes: Case-control studies10 分
Key notes: Cross-sectional studies10 分
Key notes: Cohort studies10 分
Key notes: Experimental studies10 分
Key notes: Meta-analysis and systematic review10 分
Peer review introduction10 分
Quiz1の練習問題
Test your knowledge: Study types16 分
2
修了時間
4時間で修了

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 readings, 4 quizzes
Video15件のビデオ
Some key concepts: Definitions4 分
Data types1 分
Arbitary classification: Nominal categorical data1 分
Natural ordering of attributes: Ordinal categorical data2 分
Measurements and numbers: Numerical data types3 分
How to tell the difference: Discrete and continuous variables3 分
Introduction1 分
Measures of central tendency5 分
Measures of dispersion6 分
(Optional) Setting up spreadsheet software to do your own analysis3 分
(Optional) Descriptive statistics using spreadsheet software9 分
Making inferences: Sampling5 分
Types of sampling3 分
Case study 19 分
Reading12件の学習用教材
Key notes: Definitions10 分
Key notes: Data types10 分
Key notes: Nominal categorical data10 分
Key notes: Ordinal categorical data10 分
Key notes: Numerical data types10 分
Key notes: Discrete and continuous variables10 分
Key notes: Describing the data10 分
Key notes: Measures of central tendency10 分
Key notes: Measures of dispersion10 分
Visual representation of data10 分
Key notes: Sampling10 分
Key notes: Types of sampling10 分
Quiz4の練習問題
Test your knowledge: Data types10 分
Test your knowledge: Measures of central tendency and dispersion10 分
Test your knowledge: Sampling10 分
Week 2 Graded Quiz20 分
3
修了時間
4時間で修了

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 readings, 4 quizzes
Video14件のビデオ
Working out the probability: Rolling dice5 分
Area under the curve: Continuous data types4 分
Introduction to the central limit theorem: The heart of probability theory1 分
Asymmetry and peakedness: Skewness and Kurtosis4 分
Learning from the lotto: Combinations4 分
Approximating a bell-shaped curve: The central limit theorem4 分
Patterns in the data: Distributions2 分
The bell-shaped curve: Normal distribution3 分
Plotting a sample statistic: Sampling distribution7 分
Standard normal distribution: Z distribution9 分
Estimating population parameters: t-distribution3 分
(Optional) Generating random data point values using spreadsheet software6 分
Case study 217 分
Reading12件の学習用教材
Key notes: P-values10 分
Key notes: Rolling dice10 分
Key notes: Continuous data types10 分
Introduction to the central limit theorem10 分
Key notes: Skewness and kurtosis10 分
Key notes: Combinations10 分
Key notes: Central limit theorem10 分
Key notes: Distributions10 分
Key notes: Normal distribution10 分
Key notes: Sampling distribution10 分
Key notes: Z-distribution10 分
Key notes: The t-distibution10 分
Quiz4の練習問題
Test your knowledge: Probability10 分
Test your knowledge: The central limit theorem10 分
Test your knowledge: Distributions10 分
Week 3 Graded Quiz20 分
4
修了時間
4時間で修了

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 readings, 3 quizzes
Video8件のビデオ
Testing assumptions: Null and alternative hypothesis3 分
Is there a difference?: Alternative Hypothesis4 分
Type I and II: Hypothesis testing errors3 分
Introduction to confidence intervals3 分
How confident are you?: Confidence levels3 分
Interval estimation: Confidence intervals3 分
(Optional) Calculating confidence intervals using spreadsheet software10 分
Reading6件の学習用教材
Key notes: Null and alternative hypothesis10 分
Key notes: Alternative hypothesis10 分
Key notes: Hypothesis errors10 分
Key notes: Introduction to confidence intervals10 分
Key notes: Confidence levels10 分
Key notes: Confidence intervals10 分
Quiz2の練習問題
Testing your knowledge: Hypothesis10 分
Test your knowledge: Confidence intervals10 分
4.7
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人気のレビュー

by 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!

by 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!

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Juan H Klopper

Dr
Department of Surgery

ケープタウン大学(University of Cape Town)について

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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