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astronomy

Thérèse Stukel

Thérèse Stukel is a astronomy 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 Thérèse Stukel rather than just read about it. In short: Thérèse A. Stukel is a Canadian statistician who works as a senior core scientist at the Institute for Clinical Evaluative Sciences, as a professor in the Institute of Health Policy, Management and Evaluation of the University of Toronto, and as an adjunct professor of epidemiology and of The Dartmouth Institute for Health Policy and Clinical Practice at Dartmouth College.

Key takeaways

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

Reference excerpt

Thérèse A. Stukel is a Canadian statistician who works as a senior core scientist at the Institute for Clinical Evaluative Sciences, as a professor in the Institute of Health Policy, Management and Evaluation of the University of Toronto, and as an adjunct professor of epidemiology and of The Dartmouth Institute for Health Policy and Clinical Practice at Dartmouth College. Topics in her research include surgical mortality, the effects of regional variations in healthcare spending, and heart-related health care.

Education and career Stukel studied mathematics at the University of Ottawa, graduating in 1973. and earned a maîtrise (one-year master's degree) in applied mathematics from the University of Grenoble in 1974. After completing a diploma in advanced studies in statistics jointly from Pierre and Marie Curie University and Paris Dauphine University in 1975, she returned to Canada for a Ph.D. in statistics at the University of Toronto in 1983. Her dissertation, supervised by David F. Andrews, was Generalized Logistic Models. She became an assistant professor of statistics at Old Dominion University in 1983, and in 1984 moved to Dartmouth College as an assistant professor of biostatistics. In 2002 she moved to the Institute for Clinical Evaluative Sciences, as vice president for research, and at the same time took a position as a professor at the University of Toronto.

Recognition She became a Fellow of the American Statistical Association in 2007.

References

External links Thérèse Stukel publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with Thérèse Stukel

Start with the simplest possible case. Write down what Thérèse Stukel claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, 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 Thérèse Stukel 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 Thérèse Stukel 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 Thérèse Stukel

In research
Thérèse Stukel appears in astronomy 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 Thérèse Stukel 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
Thérèse Stukel is common in secondary-school and first-year university syllabi. It links to neighbouring topics 21st-century Canadian statisticians, Academic staff of the University of Toronto, Canadian women statisticians, so understanding it makes those chapters shorter.
In everyday life
Look for Thérèse Stukel 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 Thérèse Stukel in 20 minutes

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

Frequently asked questions

What is Thérèse Stukel in simple terms?

Thérèse A. Stukel is a Canadian statistician who works as a senior core scientist at the Institute for Clinical Evaluative Sciences, as a professor in the Institute of Health Policy, Management and Evaluation of the University of Toronto, and as an adjunct professor of epidemiology and of The Dartm…

Why does Thérèse Stukel matter?

Because it connects several astronomy 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 Thérèse Stukel?

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 Thérèse Stukel.

Tags

  • 21st-century Canadian statisticians
  • Academic staff of the University of Toronto
  • Canadian women statisticians
  • Fellows of the American Statistical Association
  • Geisel School of Medicine faculty
  • Grenoble Alpes University alumni
  • Living people
  • Old Dominion University faculty
  • Statistician stubs
  • University of Ottawa alumni
  • University of Toronto alumni

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