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mathematics

Kathryn Chaloner

Kathryn Chaloner 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 Kathryn Chaloner rather than just read about it. In short: Kathryn Mary Chaloner (August 24, 1954 – October 19, 2014) was a British-born American statistician. Chaloner was a statistics researcher who developed methods in Bayesian experimental design, and well known for her work on HIV/AIDS, infectious diseases, and women's health.

Key takeaways

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

Reference excerpt

Kathryn Mary Chaloner (August 24, 1954 – October 19, 2014) was a British-born American statistician. Chaloner was a statistics researcher who developed methods in Bayesian experimental design, and well known for her work on HIV/AIDS, infectious diseases, and women's health. She was a board member of the National Alliance for Doctoral Studies in the Mathematical Sciences, a group of faculty working towards inclusion and diversity in the doctoral-level mathematical sciences. She led an initiative in statistical sciences to broaden participation in doctoral-level studies in statistics and biostatistics.

Biography She earned a bachelor's degree in Mathematics from Oxford University where she studied at Somerville College, and a master's degree in Statistics from the University College London before moving to the United States to study at Carnegie Mellon University, where received a PhD in Statistics. She was a faculty member of the University of Minnesota School of Statistics from 1982–2002. In 2002, she was appointed Professor and Chair of the Department of Biostatistics at the University of Iowa.

Honors and awards Fellow (posthumous) of the Society for Clinical Trials Elected Fellow of the American Statistical Association Elected Fellow of the International Statistical Institute Elected Fellow of the American Association for the Advancement of Science COPSS Elizabeth L. Scott Award for contributions to service and leadership, mentoring junior faculty and graduate students, contributions to statistical methodology, and application of cutting edge methods to medicine and public health.

References

External links Kathryn Chaloner at the Mathematics Genealogy Project NIH Biosketch

Worked examples

Example 1 — a first encounter with Kathryn Chaloner

Start with the simplest possible case. Write down what Kathryn Chaloner 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 Kathryn Chaloner 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 Kathryn Chaloner 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 Kathryn Chaloner

In research
Kathryn Chaloner 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 Kathryn Chaloner 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
Kathryn Chaloner is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1954 births, 2014 deaths, 20th-century American women scientists, so understanding it makes those chapters shorter.
In everyday life
Look for Kathryn Chaloner 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 Kathryn Chaloner in 20 minutes

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

Frequently asked questions

What is Kathryn Chaloner in simple terms?

Kathryn Mary Chaloner (August 24, 1954 – October 19, 2014) was a British-born American statistician. Chaloner was a statistics researcher who developed methods in Bayesian experimental design, and well known for her work on HIV/AIDS, infectious diseases, and women's health.

Why does Kathryn Chaloner 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 Kathryn Chaloner?

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 Kathryn Chaloner.

Tags

  • 1954 births
  • 2014 deaths
  • 20th-century American women scientists
  • Alumni of Somerville College, Oxford
  • Alumni of University College London
  • American statisticians
  • American women statisticians
  • Carnegie Mellon University alumni
  • Elected Members of the International Statistical Institute
  • Fellows of the American Association for the Advancement of Science
  • Fellows of the American Statistical Association
  • University of Iowa faculty

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