𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Surrogates, meta-analysis and cost-effectiveness modelling: a combined analytic approach

✍ Scribed by Neil Hawkins; Gerry Richardson; Alex J Sutton; Nicola J Cooper; Chris Griffiths; Anne Rogers; Peter Bower

Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
359 KB
Volume
21
Category
Article
ISSN
1057-9230

No coin nor oath required. For personal study only.

✦ Synopsis

SUMMARY

Estimates of cost‐effectiveness analyses are typically obtained either directly from ‘trial’ based analyses or indirectly via surrogate endpoints in ‘model’ based analyses. Data from clinical trials that include both surrogate and final endpoints can be used in a joint analysis that combines these two approaches. This joint approach allows the inclusion of information regarding the effects of treatment on surrogate endpoints while relaxing the strong assumption of ‘conditional independence’ associated with indirect model‐based analyses. An example cost‐effectiveness analysis of Chronic Disease Self‐Management Programme is used to compare the different approaches. It is shown that despite using a common data set, the different analytic approaches produce differing estimates of the cost‐effectiveness of the intervention and the value of future research. The paper concludes by discussing the selection of the appropriate analytic approach. Copyright © 2011 John Wiley & Sons, Ltd.

📜 SIMILAR VOLUMES

An opportunity cost approach to sample s
An opportunity cost approach to sample size calculation in cost-effectiveness analysis
✍ A. Gafni; S. D. Walter; S. Birch; P. Sendi 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 127 KB 👁 1 views

## Abstract The inclusion of economic evaluations as part of clinical trials has led to concerns about the adequacy of trial sample size to support such analysis. The analytical tool of cost‐effectiveness analysis is the incremental cost‐effectiveness ratio (ICER), which is compared with a threshol

A basic introduction to fixed-effect and
A basic introduction to fixed-effect and random-effects models for meta-analysis
✍ Michael Borenstein; Larry V. Hedges; Julian P.T. Higgins; Hannah R. Rothstein 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 251 KB

There are two popular statistical models for meta-analysis, the fixed-effect model and the random-effects model. The fact that these two models employ similar sets of formulas to compute statistics, and sometimes yield similar estimates for the various parameters, may lead people to believe that the

How successful are dynamic factor models
How successful are dynamic factor models at forecasting output and inflation? A meta-analytic approach
✍ Sandra Eickmeier; Christina Ziegler 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 202 KB

## Abstract This paper uses a meta‐analysis to survey existing factor forecast applications for output and inflation and assesses what causes large factor models to perform better or more poorly at forecasting than other models. Our results suggest that factor models tend to outperform small models

PLS regression, PLS path modeling and ge
PLS regression, PLS path modeling and generalized Procrustean analysis: a combined approach for multiblock analysis
✍ Michel Tenenhaus; Vincenzo Esposito Vinzi 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 167 KB 👁 1 views

## Abstract A situation where **__J__** blocks of variables are observed on the same set of individuals is considered in this paper. A factor analysis logic is applied to tables instead of variables. The latent variables of each block should well explain their own block and, at the same time, the l

Pulling cost-effectiveness analysis up b
Pulling cost-effectiveness analysis up by its bootstraps: A non-parametric approach to confidence interval estimation
✍ Andrew H. Briggs; David E. Wonderling; Christopher Z. Mooney 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 216 KB 👁 2 views

The statistic of interest in the economic evaluation of health care interventions is the incremental cost effectiveness ratio (ICER), which is defined as the difference in cost between two treatment interventions over the difference in their effect. Where patient-specific data on costs and health ou

An Effective Approach for Landfill Closu
An Effective Approach for Landfill Closure, Cap Design Optimization, and Cost Analysis Using MODFLOW and the HELP Model
✍ Ahmed Fouda; Brian Jankauskas; Dan Martin; Thomas Lewis 📂 Article 📅 2002 🏛 John Wiley and Sons ⚖ 253 KB

## Abstract This article presents a design approach that has been developed and used on actual projects for a landfill closure plan, including a slurry wall, a leachate collection system, and cap design. A relationship exists between the cost of each of these landfill closure constituents and their