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ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials

ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials 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 ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials rather than just read about it. In short: Introduction In 2020, the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) introduced the ICH E9(R1) addendum on Estimands and Sensitivity Analyses in Clinical Trials to their guidance on statistical principals in clinical trials. The addendum was intended to address longstanding issues around of ambiguity in terms of the precise treatment effect being estimat…

Key takeaways

  • ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials from memory before moving on to harder problems.

Reference excerpt

Introduction In 2020, the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) introduced the ICH E9(R1) addendum on Estimands and Sensitivity Analyses in Clinical Trials to their guidance on statistical principals in clinical trials. The addendum was intended to address longstanding issues around of ambiguity in terms of the precise treatment effect being estimated in a clinical trials. The addendum sets out a framework for defining estimands, and using estimands to align trial methods to the overall trial objectives.

Estimand and attributes An estimand is a precise description of the treatment effect a trial sets out to estimate. The ICH E9(R1) addendum provides 5 attributes that comprise the estimand: (i) population of patients targeted by the clinical question; (ii) treatment condition; (iii) endpoint/outcome variable; (iv) population-level summary measure; and (v) strategies to handle intercurrent events.

Intercurrent events Intercurrent events are typically defined as post-randomisation events that affect either the interpretation or existence of the endpoint/outcome variable. In pharmaceutical trials, these frequently include events such as failure to receive any dose of study medication, early discontinuation of study medication, or use of rescue therapy. The ICH E9(R1) addendum lists 5 strategies that can be used to address intercurrent events within the estimand definition: (i) treatment policy; (ii) composite; (iii) while on treatment/while alive; (iv) hypothetical; and (v) principal stratum. Under a treatment policy strategy "The occurrence of the intercurrent event is considered irrelevant in defining the treatment effect of interest: the value for the variable of interest is used regardless of whether or not the intercurrent event occurs." Under a composite strategy the "intercurrent event is considered in itself to be informative about the patient's outcome and is therefore incorporated into the definition of the variable." Under a while on treatment strategy the "response to treatment prior to the occurrence of the intercurrent event is of interest." Under a hypothetical strategy "A scenario is envisaged in which the intercurrent event would not occur: the value of the variable to reflect the clinical question of interest is the value which the variable would have taken in the hypothetical scenario defined." Under a principal stratum strategy "The target population might be taken to be the 'principal stratum' (see Glossary) in which an intercurrent event would occur." Tutorial papers have been written to provide further explanation on estimands and intercurrent event strategies.

Uptake The framework has been adopted by numerous medicine regulators worldwide such as FDA (Food and Drug Administration, United States), MHRA (Medicines & Healthcare products Regulatory Agency, UK) and EMA (European Medicines Agency, Europe).

Extensions of the ICH E9(R1) estimands framework The ICH E9(R1) addendum was primarily developed with individually randomised design in mind. Additional challenges in describing treatment effects can occur in other settings, such as cluster randomised trials. On this basis, a consensus-based extension of the ICH E9(R1) addendum for cluster randomised trials (the CRT-Estimands Framework) has been developed, which lists an amended set of attributes that should be described when defining estimands for cluster randomised trials.

References

Worked examples

Example 1 — a first encounter with ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials

Start with the simplest possible case. Write down what ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials 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 ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials 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 ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials 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 ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials

In research
ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials 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 ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials 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
ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials is common in secondary-school and first-year university syllabi. It links to neighbouring topics Clinical trials, Medical statistics, Pharmaceutical sciences, so understanding it makes those chapters shorter.
In everyday life
Look for ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials 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 ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials 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 ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials in simple terms?

Introduction In 2020, the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) introduced the ICH E9(R1) addendum on Estimands and Sensitivity Analyses in Clinical Trials to their guidance on statistical principals in clinical trials. The addendu…

Why does ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials 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 ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials?

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 ICH E9(R1) Addendum On Estimands and Sensitivity Analyses in Clinical Trials.

Tags

  • Clinical trials
  • Medical statistics
  • Pharmaceutical sciences

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