mathematics

Statistical Methods in Medical Research

Statistical Methods in Medical Research 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 Statistical Methods in Medical Research rather than just read about it. In short: Statistical Methods in Medical Research is a peer-reviewed academic journal that publishes papers in the fields of Health Care and Medical Informatics. The journal's editor is Brian Everitt (King's College London).

Key takeaways

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

Reference excerpt

Statistical Methods in Medical Research is a peer-reviewed academic journal that publishes papers in the fields of Health Care and Medical Informatics. The journal's editor is Brian Everitt (King's College London). It has been in publication since 1992 and is currently published by SAGE Publications.

Scope Statistical Methods in Medical Research is a scholarly journal which publishes articles in the main areas of medical statistics and it is also used as a reference for medical statisticians. The journal focuses solely on statistics and medicine and aims to keep professionals up to date with all statistical techniques.

Abstracting and indexing Statistical Methods in Medical Research is abstracted and indexed in, among other databases: SCOPUS, and the Social Sciences Citation Index. According to the Journal Citation Reports, its 2013 impact factor is 2.957, ranking it 14 out of 85 journals in the category ‘Health Care Sciences & Services’., 5 out of 119 journals in the category ‘Statistics & Probability’., 6 out of 52 journals in the category ‘Mathematical & Computational Biology’. and 3 out of 25 journals in the category ‘Medical Informatics’.

References

External links Official website

Worked examples

Example 1 — a first encounter with Statistical Methods in Medical Research

Start with the simplest possible case. Write down what Statistical Methods in Medical Research 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 Statistical Methods in Medical Research 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 Statistical Methods in Medical Research 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 Statistical Methods in Medical Research

In research: Statistical Methods in Medical Research 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 Statistical Methods in Medical Research 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: Statistical Methods in Medical Research is common in secondary-school and first-year university syllabi. It links to neighbouring topics Bimonthly journals, Biostatistics journals, so understanding it makes those chapters shorter.
In everyday life: Look for Statistical Methods in Medical Research 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 Statistical Methods in Medical Research in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Statistical Methods in Medical Research 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 Statistical Methods in Medical Research out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Statistical Methods in Medical Research in simple terms?

Why does Statistical Methods in Medical Research 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 Statistical Methods in Medical Research?

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 Statistical Methods in Medical Research.