Browse by UCL people
Group by: Type | Date
Number of items: 13.
Article
Baio, G;
Heath, A;
(2016)
When simple becomes complicated: why Excel should lose its place at the top table.
Global and regional health technology assessment
, 4
(1)
e3-e6.
10.5301/grhta.5000247.
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Green, Nathan;
Heath, Anna;
Baio, Gianluca;
(2022)
BCEA: An R Package for Cost-Effectiveness Analysis.
Journal of Open Source Software
, 7
(77)
, Article 4206. 10.21105/joss.04206.
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Heath, A;
Baio, G;
(2018)
Calculating the Expected Value of Sample Information Using Efficient Nested Monte Carlo: A Tutorial.
Value in Health
, 21
(11)
pp. 1299-1304.
10.1016/j.jval.2018.05.004.
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Heath, A;
Kunst, N;
Jackson, C;
Strong, M;
Alarid-Escudero, F;
Goldhaber-Fiebert, JD;
Baio, G;
... Jalal, H; + view all
(2020)
Calculating the Expected Value of Sample Information in Practice: Considerations from 3 Case Studies.
Medical Decision Making
, 40
(3)
pp. 314-326.
10.1177/0272989X20912402.
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Heath, A;
Manolopoulou, I;
Baio, G;
(2019)
Estimating the Expected Value of Sample Information across Different Sample Sizes Using Moment Matching and Nonlinear Regression.
Medical Decision Making
10.1177/0272989X19837983.
(In press).
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Heath, A;
Manolopoulou, I;
Baio, G;
(2018)
Efficient Monte Carlo Estimation of the Expected Value of Sample Information Using Moment Matching.
Medical Decision Making
, 38
(2)
pp. 163-173.
10.1177/0272989X17738515.
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Heath, A;
Manolopoulou, I;
Baio, G;
(2016)
Estimating the expected value of partial perfect information in health economic evaluations using integrated nested Laplace approximation.
Statistics in Medicine
, 35
(23)
pp. 4264-4280.
10.1002/sim.6983.
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Kunst, N;
Wilson, ECF;
Glynn, D;
Alarid-Escudero, F;
Baio, G;
Brennan, A;
Fairley, M;
... Collaborative Network for Value of Information; + view all
(2020)
Computing the Expected Value of Sample Information Efficiently: Practical Guidance and Recommendations for Four Model-Based Methods.
Value in Health
, 23
(6)
pp. 734-742.
10.1016/j.jval.2020.02.010.
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Remiro-Azócar, A;
Heath, A;
Baio, G;
(2022)
Effect modification in anchored indirect treatment comparison: Comments on “Matching-adjusted indirect comparisons: Application to time-to-event data”.
Statistics in Medicine
, 41
(8)
pp. 1541-1553.
10.1002/sim.9286.
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Remiro-Azócar, A;
Heath, A;
Baio, G;
(2021)
Conflating marginal and conditional treatment effects: Comments on "Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study".
Statistics in Medicine
, 40
(11)
pp. 2753-2758.
10.1002/sim.8857.
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Working / discussion paper
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Heath, A;
Manolopoulou, I;
Baio, G;
(2015)
A Review of Methods for the Analysis of the Expected Value of Information.
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Remiro-Azócar, A;
Heath, A;
Baio, G;
(2020)
Marginalization of Regression-Adjusted Treatment Effects in Indirect Comparisons with Limited Patient-Level Data.
ArXiv: Ithaca, NY, USA.
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Thesis
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Heath, A;
(2018)
Bayesian computations for Value of Information measures using Gaussian processes, INLA and Moment Matching.
Doctoral thesis (Ph.D), UCL (University College London).
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