ArticleslgStudy

mathematics

Limin Peng

Limin Peng is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Limin Peng rather than just read about it. In short: Liming Peng is a Chinese biostatistician who works as a professor of biostatistics and bioinformatics at the Rollins School of Public Health, Emory University, where she is also affiliated with the Winship Cancer Institute. The topics of her statistical research include survival analysis, quantile regression, and nonparametric statistics; she applies these methods to the study of chronic diseases including diabetes…

Key takeaways

  • Limin Peng belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Limin Peng to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Limin Peng from memory before moving on to harder problems.

Reference excerpt

Liming Peng is a Chinese biostatistician who works as a professor of biostatistics and bioinformatics at the Rollins School of Public Health, Emory University, where she is also affiliated with the Winship Cancer Institute. The topics of her statistical research include survival analysis, quantile regression, and nonparametric statistics; she applies these methods to the study of chronic diseases including diabetes and cystic fibrosis.

Education and career Peng earned a master's degree in probability theory and mathematical statistics from the University of Science and Technology of China. She completed her Ph.D. at the University of Wisconsin–Madison in 2005. Her dissertation, Contributions to Semi-Competing Risks Data, was jointly supervised by Rick Chappell and Jason Fine. Peng joined Emory as Rollins Assistant Professor in 2005. At Emory, she is a long-term and frequent collaborator with two other women in biostatistics, Amita Manatunga and Ying Guo.

Recognition Peng was elected as a Fellow of the American Statistical Association in 2016. In 2017, she won the Mortimer Spiegelman Award of the American Public Health Association. She was named to the 2022 class of Fellows of the Institute of Mathematical Statistics, for "innovative and significant contributions to statistical methodology for survival analysis, quantile regression, and high-dimensional inference, and for dedicated professional service".

References

Worked examples

Example 1 — a first encounter with Limin Peng

Start with the simplest possible case. Write down what Limin Peng claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Limin Peng before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Limin Peng ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Limin Peng

In research
Limin Peng appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Limin Peng in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Limin Peng is common in secondary-school and first-year university syllabi. It links to neighbouring topics 21st-century American women, American statisticians, American women mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Limin Peng outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Limin Peng in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Limin Peng means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Limin Peng out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Limin Peng in simple terms?

Liming Peng is a Chinese biostatistician who works as a professor of biostatistics and bioinformatics at the Rollins School of Public Health, Emory University, where she is also affiliated with the Winship Cancer Institute. The topics of her statistical research include survival analysis, quantile…

Why does Limin Peng matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Limin Peng?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Limin Peng.

Tags

  • 21st-century American women
  • American statisticians
  • American women mathematicians
  • Chinese statisticians
  • Chinese women statisticians
  • Emory University faculty
  • Fellows of the American Statistical Association
  • Fellows of the Institute of Mathematical Statistics
  • Living people
  • University of Science and Technology of China alumni

Keep exploring