Anna Heath

University College London

Economic modelEconometricsMonte Carlo methodMathematicsExpected value of sample information

18Publications

4H-index

66Citations

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Publications 22

Newest

Methods for Population Adjustment with Limited Access to Individual Patient Data: A Simulation Study

#2Anna HeathH-Index: 4

Last. Gianluca BaioH-Index: 24

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Population-adjusted indirect comparisons are used to estimate treatment effects when there are cross-trial differences in effect modifiers and when access to individual patient data is limited. Increasingly, health technology assessment agencies are accepting evaluations that use these methods across a diverse range of therapeutic areas. Popular methods include matching-adjusted indirect comparison (MAIC) and simulated treatment comparison (STC). Despite this increasing popularity, there is limi...

Calculating the Expected Value of Sample Information in Practice: Considerations from 3 Case Studies.

#1Anna Heath (UCL: University College London)H-Index: 4

#1Anna Heath (UCL: University College London)

Last. Hawre Jalal (University of Pittsburgh)H-Index: 8

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Background. Investing efficiently in future research to improve policy decisions is an important goal. Expected value of sample information (EVSI) can be used to select the specific design and samp...

Determining a Bayesian predictive power stopping rule for futility in a non-inferiority trial with binary outcomes.

#1Anna Heath (UCL: University College London)H-Index: 4

#1Anna Heath (UCL: University College London)

Last. Eleanor Pullenayegum (U of T: University of Toronto)H-Index: 23

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Abstract Background/Aims Non-inferiority trials investigate whether a novel intervention, which typically has other benefits (i.e., cheaper or safer), has similar clinical effectiveness to currently available treatments. In situations where interim evidence in a non-inferiority trial suggests that the novel treatment is truly inferior, ethical concerns with continuing randomisation to the “inferior” intervention are raised. Thus, if interim data indicate that concluding non-inferiority at the en...

#1Jeremy D. Goldhaber-Fiebert (Stanford University)H-Index: 29

#2Anna Heath (U of T: University of Toronto)

Last. Natalia R. Kunst (Yale University)

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Computing the Expected Value of Sample Information Efficiently: Expertise and Skills Required for Four Model-Based Methods

Last. Anna HeathH-Index: 4

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Objectives: Value of information (VOI) analyses can help policy-makers make informed decisions about whether to conduct and how to design future studies. Historically, a computationally expensive method to compute the Expected Value of Sample Information (EVSI) restricted the use of VOI to simple decision models and study designs. Recently, four EVSI approximation methods have made such analyses more feasible and accessible. We provide practical recommendations for analysts computing EVSI by eva...

Calculating the Expected Value of Sample Information in Practice: Considerations from Three Case Studies

#1Anna HeathH-Index: 4

Last. Hawre JalalH-Index: 8

view all 9 authors...

Investing efficiently in future research to improve policy decisions is an important goal. Expected Value of Sample Information (EVSI) can be used to select the specific design and sample size of a proposed study by assessing the benefit of a range of different studies. Estimating EVSI with the standard nested Monte Carlo algorithm has a notoriously high computational burden, especially when using a complex decision model or when optimizing over study sample sizes and designs. Therefore, a numbe...

#1Anna Heath (UCL: University College London)H-Index: 4

#2Gianluca Baio (UCL: University College London)H-Index: 24

Abstract Objective The expected value of sample information (EVSI) quantifies the economic benefit of reducing uncertainty in a health economic model by collecting additional information. This has the potential to improve the allocation of research budgets. Despite this, practical EVSI evaluations are limited partly due to the computational cost of estimating this value using the gold-standard nested simulation methods. Recently, however, Heath et al. developed an estimation procedure that reduc...

Bayesian computations for Value of Information measures using Gaussian processes, INLA and Moment Matching

#1Anna HeathH-Index: 4

Value of Information measures quantify the economic benefit of obtaining additional information about the underlying model parameters of a health economic model. Theoretically, these measures can be used to understand the impact of model uncertainty on health economic decision making. Specifically, the Expected Value of Partial Perfect Information (EVPPI) can be used to determine which model parameters are driving decision uncertainty. This is useful as a tool to perform sensitivity analysis to ...

Estimating the Expected Value of Sample Information across Different Sample Sizes using Moment Matching and Non-Linear Regression

#1Anna HeathH-Index: 4

#2Ioanna ManolopoulouH-Index: 7

Last. Gianluca BaioH-Index: 24

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Background: The Expected Value of Sample Information (EVSI) determines the economic value of any future study with a specific design aimed at reducing uncertainty in a health economic model. This has potential as a tool for trial design; the cost and value of different designs could be compared to find the trial with the greatest net benefit. However, despite recent developments, EVSI analysis can be slow especially when optimising over a large number of different designs. Methods: This paper de...

#1Anna Heath (UCL: University College London)H-Index: 4

#2Ioanna Manolopoulou (UCL: University College London)H-Index: 7

Last. Gianluca Baio (UCL: University College London)H-Index: 24

view all 3 authors...

Background. The Expected Value of Sample Information (EVSI) is used to calculate the economic value of a new research strategy. Although this value would be important to both researchers and funder...

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