Understanding data and statistics in the medical literature
- Read original article here
Understanding data and statistics in the medical literature
Jeffrey Leek , Lucy D'Agostino McGowan , and Elizabeth Matsui
Whether a medical student reading their first journal article or a healthcare professional trying to use the latest research to improve patient care, this course will help you understand data and statistics in the medical literature in an efficient and conceptual manner.
Free!
EU customers: Price excludes VAT.
VAT is added during checkout.
Add Course to Cart
This course includes 2 attempts.
Whether you are a medical student reading their first journal article or a healthcare professional trying to use the latest research to improve patient care, understanding data and statistics has never been more fundamental for extracting accurate information from the medical literature. This is a high-level, introduction to the concepts you need to know. It is targeted at busy students and professionals, and therefore efficient, with short lessons that can be completed in 5 to 10 minutes, with the whole course-time totaling around 4 hours. We leave out the mathematical detail and focus on the conceptual ideas. Anyone can pick this course up and gain a better understanding of the medical literature.
Learning objectives
After taking this course you will be able to:
Identify potential statistical problems and biases in the medical literature
Interpret commonly seen statistical methods and graphics in the medical literature
Determine whether a medical study was conducted in a statistically rigorous manner
How you will be graded
The course has a series of short quizzes, one for each section, and a final assessment. You will get two attempts at each assessment and your best score for each one will count toward your final score. If you receive more than 70% of the points across all assessments you will pass. If you receive more than 90% of the points across all assessments you will pass with honors. You get two attempts at the class with each class purchase.
Share
Data Collection - Population and Setting
icon/quiz
Data Collection - Population and Setting Quiz 2 attempts allowed
Data Collection - Measurement Instruments
Data Collection - Measurement Instruments Quiz 2 attempts allowed
Data Collection - Participant Characteristics
Data Collection - Participant Characteristics Quiz 2 attempts allowed
Data Collection - Preregistration
Data Collection - Preregistration Quiz 2 attempts allowed
Study Design - Randomized Controlled Trials
icon/quiz
Study Design - Randomized Controlled Trials Quiz 2 attempts allowed
Study Design - Observational Study
Study Design - Observational Studies Quiz 2 attempts allowed
Study Design - Meta-analysis
Study Design - Meta Analysis Quiz 2 attempts allowed
Reading a flowchart
Reading a Flowchart Quiz 2 attempts allowed
Reading Table 1
Reading a Table 1 Quiz 2 attempts allowed
Types of Scientific Questions - Descriptive and Exploratory
icon/quiz
Types of Scientific Questions - Descriptive and Exploratory Quiz 2 attempts allowed
Types of Scientific Questions - Inferential and Predictive
icon/quiz
Types of Scientific Questions - Inferential and Predictive Quiz 2 attempts allowed
Types of Scientific Questions - Causal and Mechanistic
icon/quiz
Types of Scientific Questions - Causal and Mechanistic Quiz 2 attempts allowed
Types of Scientific Questions - Common Misunderstandings
icon/quiz
Types of Scientific Questions - Common Misunderstandings Quiz 2 attempts allowed
Measures of Association - Estimation
Measures of Association - Estimation Quiz 2 attempts allowed
Measures of Association - Uncertainty
Measures of Association - Uncertainty Quiz 2 attempts allowed
Measures of Association - Hypothesis Testing
icon/quiz
Measures of Association - Hypothesis Testing Quiz 2 attempts allowed
Measures of Association - Power and Sample Size
icon/quiz
Measures of Association - Power and Sample Size Quiz 2 attempts allowed
Statistical Graphics - Introduction
Statistical Graphics - Histograms Quiz 2 attempts allowed
Statistical Graphics - Boxplots
Statistical Graphics - Boxplots Quiz 2 attempts allowed
Statistical Graphics - Dynamine Plots
Statistical Graphics - Dynamite Plots Quiz 2 attempts allowed
Statistical Graphics - Scatterplot
Statistical Graphics - Scatterplots Quiz 2 attempts allowed
Statistical Graphics - Forest plot
Statistical Graphics - Forest Plots Quiz 2 attempts allowed
Statistical Models - Introduction
Statistical Models - Linear Outcome Quiz 2 attempts allowed
Statistical Models - Binary Outcomes
Statistical Models - Binary Outcome Quiz 2 attempts allowed
Statistical Models - Time to Event Outcomes
icon/quiz
Statistical Models - Time to Event Outcome Quiz 2 attempts allowed
Classification Methods - The Data
Classification Methods - The Data Quiz 2 attempts allowed
Classification Methods - The Model
Classification Methods - The Model Quiz 2 attempts allowed
Classification Methods - The Application
Classification Methods - The Application Quiz 2 attempts allowed
Classification Evaluation
Classification Evaluation Quiz 2 attempts allowed
Reproducibility and Replication - Defining Terms
icon/quiz
Reproducibility and Replication - Defining Terms Quiz 2 attempts allowed
Reproducibility and Replication - Tools of the Trade
icon/quiz
Reproducibility and Replication - Tools of the Trade Quiz 2 attempts allowed
Reproducibility and Replication - Human Data Interaction
icon/quiz
Reproducibility and Replication - Human Data Interaction Quiz 2 attempts allowed
Final Assessment
Jeffrey Leek
Jeff is a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab . His group develops statistical methods, software, data resources, and data analyses that help people make sense of massive-scale genomic and biomedical data. As the co-director of the Johns Hopkins Data Science Lab he has helped to develop massive online open programs that have enrolled more than 8 million individuals and partnered with community-based non-profits to use data science education for economic and public health development . He is a Fellow of the American Statistical Association and Mortimer Spiegelman Award recipient.
Elizabeth Matsui
Elizabeth Matsui is a Professor of Population Health and Pediatrics at Dell Medical School at UT Austin and an Adjunct Professor of Pediatrics at Johns Hopkins University. She is also a practicing pediatric allergist/immunologist and epidemiologist and directs a research program focused on environmental exposures and lung health. Elizabeth can be found on Twitter @elizabethmatsui.
Community
This course has a private forum for learners who are taking this course.
Do Well. Do Good.
Learn more about writing on Leanpub
The Leanpub 60-day 100% Happiness Guarantee
Within 60 days of purchase you can get a 100% refund on any Leanpub purchase, in two clicks.
See full terms
Free Updates. DRM Free.
If you buy a Leanpub book, you get free updates for as long as the author updates the book! Many authors use Leanpub to publish their books in-progress, while they are writing them. All readers get free updates, regardless of when they bought the book or how much they paid (including free).
Most Leanpub books are available in PDF (for computers) and EPUB (for phones, tablets and Kindle). The formats that a book includes are shown at the top right corner of this page.
Finally, Leanpub books don't have any DRM copy-protection nonsense, so you can easily read them on any supported device.
Write and Publish on Leanpub
You can use Leanpub to easily write, publish and sell in-progress and completed ebooks and online courses!
Leanpub is a powerful platform for serious authors, combining a simple, elegant writing and publishing workflow with a store focused on selling in-progress ebooks.
Leanpub is a magical typewriter for authors: just write in plain text, and to publish your ebook, just click a button. (Or, if you are producing your ebook your own way, you can even upload your own PDF and/or EPUB files and then publish with one click!) It really is that easy.
