4.7

694 ratings

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204 reviews

University of Cape Town

À propos de ce cours

If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place. You may be a clinical practitioner reading research articles to keep up-to-date with developments in your field or a medical student wondering how to approach your own research. Greater confidence in understanding statistical analysis and the results can benefit both working professionals and those undertaking research themselves.
If you are simply interested in properly understanding the published literature or if you are embarking on conducting your own research, this course is your first step. It offers an easy entry into interpreting common statistical concepts without getting into nitty-gritty mathematical formulae. To be able to interpret and understand these concepts is the best way to start your journey into the world of clinical literature. That’s where this course comes in - so let’s get started!
The course is free to enroll and take. You will be offered the option of purchasing a certificate of completion which you become eligible for, if you successfully complete the course requirements. This can be an excellent way of staying motivated! Financial Aid is also available.

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Recommandé : 6 weeks of study, 2-3 hours/week

Sous-titres : English

StatisticsClinical ResearchSampling StatisticsSampling (Statistics)Data Analysis

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Recommandé : 6 weeks of study, 2-3 hours/week

Sous-titres : English

Section

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 videos (Total 45 min), 11 readings, 2 quizzes

About the course2m

Observing and intervening: Observational & experimental studies3m

Observing and describing: Case series studies3m

Comparing groups: Case-control studies3m

Collecting data at one point in time: Cross-sectional studies3m

Studying a group with common traits: Cohort studies4m

Let's intervene: Experimental studies6m

Working with existing research: Meta-analysis and Systematic Review4m

Doing a literature search: Part 14m

Doing a literature search: Part 26m

How this course works10m

Pre-course survey10m

Study types10m

Key notes: Observational and experimental studies10m

Key notes: Case series studies10m

Key notes: Case-control studies10m

Key notes: Cross-sectional studies10m

Key notes: Cohort studies10m

Key notes: Experimental studies10m

Key notes: Meta-analysis and systematic review10m

Peer review introduction10m

Test your knowledge: Study types16m

Section

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 videos (Total 64 min), 12 readings, 4 quizzes

Some key concepts: Definitions4m

Data types1m

Arbitary classification: Nominal categorical data1m

Natural ordering of attributes: Ordinal categorical data2m

Measurements and numbers: Numerical data types3m

How to tell the difference: Discrete and continuous variables3m

Introduction1m

Measures of central tendency5m

Measures of dispersion6m

(Optional) Setting up spreadsheet software to do your own analysis3m

(Optional) Descriptive statistics using spreadsheet software9m

Making inferences: Sampling5m

Types of sampling3m

Case study 19m

Key notes: Definitions10m

Key notes: Data types10m

Key notes: Nominal categorical data10m

Key notes: Ordinal categorical data10m

Key notes: Numerical data types10m

Key notes: Discrete and continuous variables10m

Key notes: Describing the data10m

Key notes: Measures of central tendency10m

Key notes: Measures of dispersion10m

Visual representation of data10m

Key notes: Sampling10m

Key notes: Types of sampling10m

Test your knowledge: Data types10m

Test your knowledge: Measures of central tendency and dispersion10m

Test your knowledge: Sampling10m

Week 2 Graded Quiz20m

Section

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 videos (Total 78 min), 12 readings, 4 quizzes

Working out the probability: Rolling dice5m

Area under the curve: Continuous data types4m

Introduction to the central limit theorem: The heart of probability theory1m

Asymmetry and peakedness: Skewness and Kurtosis4m

Learning from the lotto: Combinations4m

Approximating a bell-shaped curve: The central limit theorem4m

Patterns in the data: Distributions2m

The bell-shaped curve: Normal distribution3m

Plotting a sample statistic: Sampling distribution7m

Standard normal distribution: Z distribution9m

Estimating population parameters: t-distribution3m

(Optional) Generating random data point values using spreadsheet software6m

Case study 217m

Key notes: P-values10m

Key notes: Rolling dice10m

Key notes: Continuous data types10m

Introduction to the central limit theorem10m

Key notes: Skewness and kurtosis10m

Key notes: Combinations10m

Key notes: Central limit theorem10m

Key notes: Distributions10m

Key notes: Normal distribution10m

Key notes: Sampling distribution10m

Key notes: Z-distribution10m

Key notes: The t-distibution10m

Test your knowledge: Probability10m

Test your knowledge: The central limit theorem10m

Test your knowledge: Distributions10m

Week 3 Graded Quiz20m

Section

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 videos (Total 33 min), 6 readings, 3 quizzes

Testing assumptions: Null and alternative hypothesis3m

Is there a difference?: Alternative Hypothesis4m

Type I and II: Hypothesis testing errors3m

Introduction to confidence intervals3m

How confident are you?: Confidence levels3m

Interval estimation: Confidence intervals3m

(Optional) Calculating confidence intervals using spreadsheet software10m

Key notes: Null and alternative hypothesis10m

Key notes: Alternative hypothesis10m

Key notes: Hypothesis errors10m

Key notes: Introduction to confidence intervals10m

Key notes: Confidence levels10m

Key notes: Confidence intervals10m

Testing your knowledge: Hypothesis10m

Test your knowledge: Confidence intervals10m

Section

The most common statistical test that you might come across in the literature is the t-test. There are, in actual fact, a few t-tests, but the one most are familiar with, is of course, Student’s t-test and its ubiquitous p-value. Not everyone, though, knows that the name Student was actually a pseudonym, used by William Gosset (1876 - 1937). Parametric tests have very strict assumptions that must be met before their use is justified. In this lesson we take a closer look at these tests, but perhaps more importantly, their strict assumptions. Once you know these, you will be able to identify when these tests are used inappropriately....

15 videos (Total 86 min), 6 readings, 3 quizzes

Student's t-test15m

ANOVA4m

Linear Regression4m

(Optional) Student's t-test in action12m

Introduction to nonparametric tests3m

Checking for normality5m

Thinking nonparametrically2m

Comparing paired observations: Signs2m

Ordering values: Ranking2m

Paired comparisons: Sign ranks2m

Summation of ranks: Rank sums6m

Comparing two populations: Mann-Whitney-U test4m

More nonparametric tests5m

Case study 313m

Key notes: Parametric tests10m

Key notes: Student's t-test10m

Key notes: ANOVA10m

Key notes: Linear regression10m

Key notes: Nonparametric tests10m

Key notes: Nonparametric tests10m

Test your knowledge: Parametric tests10m

Test your knowledge: Non-parametric tests8m

Week 5 Graded Quiz20m

Section

Congratulations! You've reached the final week of the course Understanding Clinical Research. In this lesson we will take a look at how good tests are at picking up the presence or absence of disease, helping us choose appropriate tests, and how to interpret positive and negative results. We’ll decipher sensitivity, specificity, positive and negative predictive values. You'll end of this course with a final exam, to test the knowledge and application you've learned in this course. I hope you've enjoyed this course and it helps your understanding of clinical research. ...

8 videos (Total 34 min), 4 readings, 3 quizzes

Observed frequencies: Contingency tables5m

Comparing observed and expected values: Chi-square test3m

Association between two variables: Fisher's exact test2m

(Optional) Calculating chi-square test using spreadsheet software7m

Introduction to sensitivity and specificity2m

Measuring performance: Sensitivity and specificity4m

Proportions of results: Positive and negative predictive values6m

Key notes: Comparing categorical data10m

Keynotes: Sensitivity, specificity, positive and negative predictive values10m

Interesting online videos10m

Congratulations on completing the course10m

Testing your knowledge: Comparing categorical data12m

Test your knowledge: Sensitivity, specificity and predictive values10m

Week 6 Final examination40m

4.7

started a new career after completing these courses

got a tangible career benefit from this course

got a pay increase or promotion

By LK•Jul 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 DS•May 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!

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....

When will I have access to the lectures and assignments?

Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

What will I get if I pay for this course?

If you pay for this course, you will have access to all of the features and content you need to earn a Course Certificate. If you complete the course successfully, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. Note that the Course Certificate does not represent official academic credit from the partner institution offering the course.

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