Catherine Hill is a prominent epidemiologist known for her research in cancer epidemiology, particularly in the areas of breast cancer and women's health. She has contributed significantly to the understanding of risk factors associated with various cancers and has been involved in large-scale epidemiological studies. Her work often focuses on the interplay between lifestyle, genetics, and environmental factors in cancer development.
Charles Roy Henderson is an American statistician known for his contributions to the field, particularly in the area of mixed models and statistical methods in agriculture. He is best known for developing the Henderson model, which is important in the genetic evaluation of livestock. His work has had a significant impact on the fields of animal breeding and genetics, particularly in the statistical methodologies used to analyze and interpret data related to these areas.
L. Adrienne Cupples is a prominent researcher and professor known for her work in the field of public health, specifically focusing on epidemiology and biostatistics. She has made significant contributions to the understanding of chronic diseases, epidemiological methods, and health disparities. Cupples has also been involved in various academic and community-based research initiatives. If you meant something else related to L.
Martin Kulldorff is a biostatistician and professor known for his work in statistical methods for public health, including the statistical modeling of infectious diseases and the development of methods for disease surveillance. He has been a prominent figure in discussions around the COVID-19 pandemic, particularly in relation to alternative approaches to managing the outbreak, such as focused protection strategies. Kulldorff has also contributed to the field of epidemiology and has been involved in research on vaccine safety and other public health issues.
Michael D. Escobar is a prominent figure in the field of statistics and data science, particularly known for his contributions to statistical methodology and applications in various areas. Additionally, he may also refer to specific individuals in different contexts, such as academia, industry, or other professional domains.
Nathan Mantel is a statistician known for his contributions to biostatistics and epidemiology, particularly in the development of statistical methodologies. He is widely recognized for the Mantel-Haenszel method, which is commonly used for stratified analysis in epidemiological studies. This method helps to control for confounding variables when assessing the association between an exposure and an outcome across different strata or groups.
Sander Greenland is a prominent statistician and epidemiologist known for his work in the fields of causal inference, meta-analysis, and statistical methods in epidemiology. He has contributed significantly to the development of methodologies for analyzing observational data and understanding the causal relationships in epidemiological studies. His work has influenced the way researchers interpret data and design studies in public health and clinical research. Greenland has published extensively in academic journals and is regarded as an important figure in biostatistics and epidemiological research.
William Guy could refer to various individuals or subjects depending on the context. Without additional information, it's difficult to determine exactly what you mean. Here are a few possibilities: 1. **William Guy (Physician)**: A British physician known for his contributions to medical education and public health in the 19th century. 2. **William Guy (Artist)**: A contemporary artist or historical figure, whose works might be recognized in various art circles.
Data miners, in the context of data science and analytics, refer to professionals or automated systems that extract useful and actionable insights from large sets of data. The process of data mining involves various techniques from statistics, machine learning, and database systems to identify patterns, correlations, and trends within data that can inform decision-making, predict future outcomes, or reveal hidden relationships.
"Relics" is the 75th episode of *Star Trek: The Next Generation*, which aired during the sixth season of the series on April 16, 1992. The episode is notable for featuring the return of the iconic character Montgomery "Scotty" Scott, played by James Doohan, who originally appeared in the original *Star Trek* series.
Dalí Paris is a museum dedicated to the works of the renowned surrealist artist Salvador Dalí. Located in the heart of Paris, specifically in the Montmartre district, the museum showcases a wide range of Dalí's art, including paintings, sculptures, and various other works that highlight his distinctive style and surrealistic approach. Dalí Paris aims to immerse visitors in the imagination and creativity of Dalí, offering a unique experience that reflects his contributions to the art world.
The Xu Guangqi Memorial Hall, located in Shanghai, China, is a memorial dedicated to Xu Guangqi, a prominent scholar, farmer, and politician during the Ming Dynasty (1368–1644). Xu is well-known for his contributions to science, agriculture, and the introduction of Western technology and knowledge to China, particularly through his collaboration with Jesuit missionaries like Matteo Ricci.
Pinned article: Introduction to the OurBigBook Project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 3. Visual Studio Code extension installation.Figure 4. Visual Studio Code extension tree navigation.Figure 5. Web editor. You can also edit articles on the Web editor without installing anything locally.Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.Video 4. OurBigBook Visual Studio Code extension editing and navigation demo. Source. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact





