Supporting Causal Conclusions from Observational Survival Studies

Información del proyecto

SCOUT

Identificador del acuerdo de subvención: 795292

DOI

10.3030/795292

Proyecto cerrado

Fecha de la firma de la CE 7 Marzo 2018

Fecha de inicio 1 Octubre 2018

Fecha de finalización 30 Septiembre 2020

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 166 156,80

Aportación de la UE

€ 166 156,80

Coordinado por

MEDIZINISCHE UNIVERSITAET WIEN
Austria

Objetivo

The focus of my proposal is on statistical mediation analysis in medical studies with patient survival as outcome. Mediation analysis can help to elucidate the underlying mechanisms and ultimately to alter and further improve components of an intervention or shift the target of an intervention. Specifically, in aim 1 we utilize penalized likelihood techniques in an innovative way to improve mediation analysis with sparse data, e.g. rare side effects of drugs. Aim 2 will focus on the Aalen additive hazards model, an alternative to the Cox proportional hazards model, in particular when causal inference and mediation is of primary interest. We will consider a series of case studies comparing Aalen additive hazards model with the Cox proportional hazards model regarding interpretability of effect estimates, ease of application, applicability of assumptions, ease of description in an interdisciplinary context and public perception. By means of analytical reasoning and empirical studies we fill important gaps in knowledge, while the interdisciplinary working environment and intersectoral seminars will ensure that the achieved advances reach the relevant stakeholders. During the secondment at the Novartis Statistical Methodology Group in Basel, I will get in touch with mediation analysis for interventions in clinical trials and its connections to the estimands framework, which is currently being considered a promising alternative to the intention-to-treat paradigm as first principle in evaluating effects of interventions. The suggested action will combine my supervisor's and my scientific expertise and international experience at its best and thus guarantees mutual growth. Interaction with a highly active research group, participation in the institutional programme for soft skill development and involvement in project administration will further contribute to my development towards independence and are important prerequisites for various career paths.

Ámbito científico (EuroSciVoc)

• ciencias naturales › informática y ciencias de la información › ingeniería del conocimiento

Palabras clave

• Causal Inference
• Direct and Indirect Effects
• Sparse Data
• Survival Analysis

Programa(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions PROGRAMA PRINCIPAL
  
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
  

Tema(s)

• MSCA-IF-2017 - Individual Fellowships
  

Régimen de financiación

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

Convocatoria de propuestas

H2020-MSCA-IF-2017

Coordinador

MEDIZINISCHE UNIVERSITAET WIEN

• Aportación neta de la UEn: € 166 156,80
• Dirección: SPITALGASSE 23 ; 1090 Wien ; Austria
• Región: Ostösterreich › Wien › Wien
• Tipo de actividad: Higher or Secondary Education Establishments
• Coste total: € 166 156,80