A PRACTICAL METHOD BASED ON FUNCTIONAL DATA ANALYSIS AND SINGLE EXPONENTIAL SMOOTHING TO COMBINE SURVIVAL CURVES IN META-ANALYSIS: A SIMULATION STUDY

DOI10.17654/AS053020179zbMath1422.62305OpenAlexW2884029272WikidataQ115505547 ScholiaQ115505547MaRDI QIDQ5229444

Zahra Shayan, Saeed Ghanbari, Najaf Zare

Publication date: 15 August 2019

Published in: Advances and Applications in Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.17654/as053020179

zbMATH Keywords

survival analysisfunctional data analysismeta-analysissingle exponential smoothing

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)

Uses Software

• fda (R)
• Stata
• SURVSIM
• stsurvsim

Cites Work

• Unnamed Item
• The covariance adjustment approaches for combining incomparable Cox regressions caused by unbalanced covariates adjustment: a multivariate meta-analysis study
• Applied functional data analysis. Methods and case studies
• Iterative Generalized Least Squares for Meta-Analysis of Survival Data at Multiple Times
• Survival analysis. A self-learning text.

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