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Mei-Ling Ting Lee

Mei-Ling Ting Lee 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-Ling Ting Lee rather than just read about it. In short: Mei-Ling Ting Lee is a Taiwanese-American biostatistician known for her research on microarrays. She is a professor of epidemiology and biostatistics at the University of Maryland, College Park, and the founding editor-in-chief of the journal Lifetime Data Analysis.

Key takeaways

  • Mei-Ling Ting Lee 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-Ling Ting Lee to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Mei-Ling Ting Lee from memory before moving on to harder problems.

Reference excerpt

Mei-Ling Ting Lee is a Taiwanese-American biostatistician known for her research on microarrays. She is a professor of epidemiology and biostatistics at the University of Maryland, College Park, and the founding editor-in-chief of the journal Lifetime Data Analysis. She was president of the International Chinese Statistical Association for 2016.

Education and career Lee was born in Taipei, and earned bachelor's and master's degrees in mathematics from National Taiwan University in 1975 and National Tsing Hua University in 1977, respectively. She earned her PhD in statistics from the University of Pittsburgh in 1980, and became a naturalized US citizen. She has worked on the faculty of Bridgewater State College (1983–1984), Boston University (1984–1992), the Harvard Medical School (1993–1999), the Harvard School of Public Health (2000–2005), Ohio State University (2005–2008), and the University of Maryland (since 2008). At Ohio State, she chaired the Biostatistics Division of the School of Public Health and became a Distinguished Professor in Biostatistics and Computational Biology.

Selected publications

Books Lee, Mei-Ling Ting (2004), Analysis of Microarray Gene Expression Data, Kluwer

Research papers Lee, M.-L. T.; Kuo, F. C.; Whitmore, G. A.; Sklar, J. (2000), "Importance of replication in microarray gene expression studies: Statistical methods and evidence from repetitive cDNA hybridizations", Proceedings of the National Academy of Sciences, 97 (18): 9834–9839, Bibcode:2000PNAS...97.9834L, doi:10.1073/pnas.97.18.9834, PMC 27599, PMID 10963655 Hunter, Melissa Piper; Ismail, Noura; Zhang, Xiaoli; Aguda, Baltazar D.; Lee, Eun Joo; Yu, Lianbo; Xiao, Tao; Schafer, Jeffrey; Lee, Mei-Ling Ting; Schmittgen, Thomas D.; Nana-Sinkam, S. Patrick; Jarjoura, David; Marsh, Clay B. (2008), "Detection of microRNA Expression in Human Peripheral Blood Microvesicles", PLOS ONE, 3 (11) e3694, Bibcode:2008PLoSO...3.3694H, doi:10.1371/journal.pone.0003694, PMC 2577891, PMID 19002258

Awards and honors Lee is an elected member of the International Statistical Institute since 1995 and a fellow of the Royal Statistical Society (1998), American Statistical Association (1999), and Institute of Mathematical Statistics (2005).

References

External links Mei-Ling Ting Lee publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with Mei-Ling Ting Lee

Start with the simplest possible case. Write down what Mei-Ling Ting Lee 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-Ling Ting Lee 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-Ling Ting Lee 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-Ling Ting Lee

In research
Mei-Ling Ting Lee 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-Ling Ting Lee 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-Ling Ting Lee is common in secondary-school and first-year university syllabi. It links to neighbouring topics Academic journal editors, American epidemiologists, American statisticians, so understanding it makes those chapters shorter.
In everyday life
Look for Mei-Ling Ting Lee 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-Ling Ting Lee in 20 minutes

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

Frequently asked questions

What is Mei-Ling Ting Lee in simple terms?

Mei-Ling Ting Lee is a Taiwanese-American biostatistician known for her research on microarrays. She is a professor of epidemiology and biostatistics at the University of Maryland, College Park, and the founding editor-in-chief of the journal Lifetime Data Analysis.

Why does Mei-Ling Ting Lee 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-Ling Ting Lee?

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-Ling Ting Lee.

Tags

  • Academic journal editors
  • American epidemiologists
  • American statisticians
  • American women epidemiologists
  • Biostatisticians
  • Boston University faculty
  • Bridgewater State University faculty
  • Elected Members of the International Statistical Institute
  • Fellows of the American Statistical Association
  • Fellows of the Institute of Mathematical Statistics
  • Fellows of the Royal Statistical Society
  • Harvard Medical School faculty

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