Evidence amalgamation in the sciences: an introduction

Samuel C. Fletcher, Jürgen Landes, Roland Poellinger

Research output: Contribution to journalEditorial

2 Scopus citations

Abstract

Amalgamating evidence from heterogeneous sources and across levels of inquiry is becoming increasingly important in many pure and applied sciences. This special issue provides a forum for researchers from diverse scientific and philosophical perspectives to discuss evidence amalgamation, its methodologies, its history, its pitfalls, and its potential. We situate the contributions therein within six themes from the broad literature on this subject: the variety-of-evidence thesis, the philosophy of meta-analysis, the role of robustness/sensitivity analysis for evidence amalgamation, its bearing on questions of extrapolation and external validity of experiments, its connection with theory development, and its interface with causal inference, especially regarding causal theories of cancer.

Original languageEnglish (US)
Pages (from-to)3163-3188
Number of pages26
JournalSynthese
Volume196
Issue number8
DOIs
StatePublished - Aug 15 2019

Keywords

  • Causal inference
  • Causal theories of cancer
  • External validity
  • Extrapolation
  • Meta-analysis
  • Sensitivity analysis
  • Theory development
  • Variety-of-evidence thesis

Fingerprint Dive into the research topics of 'Evidence amalgamation in the sciences: an introduction'. Together they form a unique fingerprint.

  • Cite this