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mathematics

Mei-Cheng Wang

Mei-Cheng Wang 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 Mei-Cheng Wang rather than just read about it. In short: Mei-Cheng Wang is a biostatistician in the Johns Hopkins Bloomberg School of Public Health. Her research includes both theoretical work on survival analysis and statistical truncation, and applications to medical questions including prenatal and infant care, AIDS infection, and kidney disease.

Key takeaways

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

Reference excerpt

Mei-Cheng Wang is a biostatistician in the Johns Hopkins Bloomberg School of Public Health. Her research includes both theoretical work on survival analysis and statistical truncation, and applications to medical questions including prenatal and infant care, AIDS infection, and kidney disease. Wang earned a bachelor's degree in mathematics from National Tsing Hua University in 1978. She completed a master's degree in 1983 and a Ph.D. in 1985 in statistics from the University of California, Berkeley. Her dissertation, supervised by Nicholas P. Jewell, was Regression Analysis with Selection Biased Dependent Variable. She has been on the Johns Hopkins faculty since 1985. In 1998, Wang was elected as a Fellow of the American Statistical Association. She was elected to the International Statistical Institute in 2015, and as a fellow of the Institute of Mathematical Statistics in 2017 "for influential contributions to survival analysis, including theory and application of random truncation and recurrent event processes". Also in 2017, the International Chinese Statistical Association gave her their Outstanding Service Award.

References

External links Home page

Worked examples

Example 1 — a first encounter with Mei-Cheng Wang

Start with the simplest possible case. Write down what Mei-Cheng Wang 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 Mei-Cheng Wang 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 Mei-Cheng Wang 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 Mei-Cheng Wang

In research
Mei-Cheng Wang 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 Mei-Cheng Wang 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
Mei-Cheng Wang is common in secondary-school and first-year university syllabi. It links to neighbouring topics American women statisticians, Biostatisticians, Elected Members of the International Statistical Institute, so understanding it makes those chapters shorter.
In everyday life
Look for Mei-Cheng Wang 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.
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How to study Mei-Cheng Wang in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Mei-Cheng Wang 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 Mei-Cheng Wang out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Mei-Cheng Wang in simple terms?

Mei-Cheng Wang is a biostatistician in the Johns Hopkins Bloomberg School of Public Health. Her research includes both theoretical work on survival analysis and statistical truncation, and applications to medical questions including prenatal and infant care, AIDS infection, and kidney disease.

Why does Mei-Cheng Wang 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 Mei-Cheng Wang?

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 Mei-Cheng Wang.

Tags

  • American women statisticians
  • Biostatisticians
  • Elected Members of the International Statistical Institute
  • Fellows of the American Statistical Association
  • Fellows of the Institute of Mathematical Statistics
  • Johns Hopkins Bloomberg School of Public Health faculty
  • Living people
  • National Tsing Hua University alumni
  • UC Berkeley College of Letters and Science alumni

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