mathematics

Margaret Sullivan Pepe

Margaret Sullivan Pepe 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 Margaret Sullivan Pepe rather than just read about it. In short: Margaret Patricia O'Sullivan Pepe (born June 24, 1961) is an Irish biostatistician specializing in the evaluation of tests and biomarkers for disease screening. She is a professor of biostatistics at the University of Washington School of Public Health and a researcher at the Fred Hutchinson Cancer Research Center.

Key takeaways

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

Reference excerpt

Margaret Patricia O'Sullivan Pepe (born June 24, 1961) is an Irish biostatistician specializing in the evaluation of tests and biomarkers for disease screening. She is a professor of biostatistics at the University of Washington School of Public Health and a researcher at the Fred Hutchinson Cancer Research Center.

Life Pepe was born June 24, 1961, in Cork, Ireland to Seamus O'Sullivan. She attended Mount Mercy College, Cork. She completed a B.Sc. in mathematics science at the University College Cork in 1981. Pepe earned a M.S. in statistics in 1984 and a Ph.D. in biostatistics at the University of Washington School of Public Health in 1986. Her dissertation was titled, A new class of statistics for the two-sample survival analysis problem. Thomas R. Fleming was her doctoral advisor. In 1997, she won the Mortimer Spiegelman Award. Pepe is a professor of biostatistics at the University of Washington School of Public Health. She is a researcher at the Fred Hutchinson Cancer Research Center.

Works Pepe, Margaret Sullivan (2005). The Statistical Evaluation of Medical Tests for Classification and Prediction. Oxford University Press. ISBN 978-0-19-850984-4. Pepe, M. (1997-09-01). "A regression modelling framework for receiver operating characteristic curves in medical diagnostic testing". Biometrika. 84 (3): 595–608. doi:10.1093/biomet/84.3.595. ISSN 0006-3444. Gu, W.; Pepe, M. S. (2008-05-23). "Estimating the capacity for improvement in risk prediction with a marker". Biostatistics. 10 (1): 172–186. doi:10.1093/biostatistics/kxn025. ISSN 1465-4644. PMC 2639345. PMID 18714084.

References

Worked examples

Example 1 — a first encounter with Margaret Sullivan Pepe

Start with the simplest possible case. Write down what Margaret Sullivan Pepe 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 Margaret Sullivan Pepe 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 Margaret Sullivan Pepe 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 Margaret Sullivan Pepe

In research: Margaret Sullivan Pepe 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 Margaret Sullivan Pepe 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: Margaret Sullivan Pepe is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1961 births, 21st-century American biologists, 21st-century American statisticians, so understanding it makes those chapters shorter.
In everyday life: Look for Margaret Sullivan Pepe 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 Margaret Sullivan Pepe in 20 minutes

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

Frequently asked questions

What is Margaret Sullivan Pepe in simple terms?

Why does Margaret Sullivan Pepe 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 Margaret Sullivan Pepe?

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 Margaret Sullivan Pepe.