TSDs completed or currently in progress One page summaries 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.