TSDs completed or currently in progress


TSD 1:

Introduction to evidence synthesis for decision making

TSD 2:

A general linear modelling framework for pair-wise and network meta-analysis of randomised controlled trials

TSD 3:

Heterogeneity: subgroups, meta-regression, bias and bias-adjustment

TSD 4:

Inconsistency in networks of evidence based on randomised controlled trials 

TSD 5:

Evidence synthesis in the baseline natural history model

TSD 6:

Embedding evidence synthesis in probabilistic cost effectiveness analysis: software choices

TSD 7:

Evidence synthesis of treatment efficacy in decision making: a reviewer’s checklist

TSD 8:

An introduction to the measurement and valuation of health for NICE submissions

TSD 9:

The identification, review and synthesis of health state utility values from the literature

TSD 10:

The use of mapping methods to estimate health state utility values

TSD 11:

Alternatives to EQ-5D for generating health state utility values

TSD 12:

The use of health state utility values in decision models

TSD 13:

Identifying and reviewing evidence to inform the conceptualisation and population of cost-effectiveness models

TSD 14:

Survival analysis for economic evaluations alongside clinical trials – extrapolation with patient-level data

TSD 15: 

Cost-effectiveness modelling using patient-level simulation

TSD 16:

Adjusting survival time estimates in the presence of treatment switching

TSD 17:

The use of observational data to inform estimates of treatment effectiveness in technology appraisal: Methods for comparative individual patient data

TSD 18: 

Methods for population-adjusted indirect comparisons in submissions to NICE

TSD 19: 

Partitioned Survival Analysis as a decision modelling tool

TSD 20:

Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints 

TSD 21:

Flexible Methods for Survival Analysis

For more information on these documents, or to provide feedback, please contact the DSU Project Coordinator, Liz Mclintock.