Extraction of unadjusted estimates of prognostic association for meta-analysis: simulation methods as good alternatives to trend and direct method estimation

• Published in: Journal of clinical epidemiology Vol. 99; pp. 153 - 163
• Main Authors: Pérez, T., McLellan, J., Perera, R.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.07.2018; Elsevier Limited
• Subjects: Data Analysis; Data extraction; Epidemiology; Estimates; Generalized least squares for trend estimation; Least-Squares Analysis; Medical prognosis; Meta-analysis; Meta-Analysis as Topic; Methods; Prognosis; Prognostic marker; Simulated data; Simulation; Statistical analysis; Statistical methods; Studies; Systematic review; Systematic reviews; Systematic Reviews as Topic; Womens health; Generalized least squares for trend estimation; Systematic reviews; Prognostic marker; Simulated data; Meta-analysis; Data extraction

Systematic reviews and meta-analysis are the standard methods to assess the association between prognostic markers and major events/conditions. However, the summary measures reported are not always explicitly presented and therefore different indirect methods of extracting estimates have been propos...