Publications

2024
Ανάλυση Παλινδρόμησης
Σιάννης Φώτιος, Στογιάννης Δημήτριος. Ανάλυση Παλινδρόμησης. First. Athens: PAPAZISSIS PUBLISHERS; 2024 pp. 895. Publisher's Version analysi_palindromisis_periehomena.pdf
2023
Stogiannis D, Siannis F, Androulakis E. Heterogeneity in meta-analysis: a comprehensive overview. The International Journal of Biostatistics. 2023.
2022
Media Crowning Brands
Stogiannis D, Siannis F. Media Crowning Brands. First. Athens: PAPAZISSIS PUBLISHERS; 2022 pp. 213. Publisher's Version
Anagnostopoulou T, Siannis F, Kyriafinis D, Sela M. Patterns of adjustment during the Covid-19 pandemic in Greece: the Resilient, the Rebels and the Internalizers. Psychology: the Journal of the Hellenic Psychological Society. 2022;27:26–46.
2012
Murray S, Siannis F, Bafaloukos D, Kosmidis P, Linardou H. Somatic Kras Mutations and Resistance to EGFR-Targeted Therapies: Is Kras Ready to Include as a Reflex Test With EGFR in NSCLC? An Evidence Synthesis Based Approach. Annals of Oncology. 2012;23:ix85–ix86.
Linardou H, Murray S, Siannis F, Bafaloukos D. Generation of a Somatic Mutations BRAF in Melanoma Database (www. somaticmutations-brafmelanoma. net). Annals of Oncology. 2012;23:ix94.
Murray S, Linardou H, Siannis F, Bafaloukos D. Inter-and Intra-Tumor Heterogeneity of Somatic BRAF Mutations in Melanoma. Annals of Oncology. 2012;23:ix373.
Murray S, Linardou H, Bafaloukos D, Kosmidis P, Papadimitriou CA, Siannis F. Basic-Translational-Clinical/Hypothesis. 2012.
Barrett JK, Farewell VT, Siannis F, Tierney J, Higgins JPT. Two-stage meta-analysis of survival data from individual participants using percentile ratios. Statistics in medicine. 2012;31:4296–4308.
2011
Siannis F, Barrett J, Farewell V. The Use of Multi-State Models in the Analysis of Semi-Competing Risks Data. In: BOOK OF ABSTRACTS. ; 2011. pp. 82.
Chaimani A, Dahabreh I, Linardou H, Cappuzzo F, Papadimitriou C, Kosmidis P, Bafaloukos D, Siannis F, Murray S. PROGNOSTIC SIGNIFICANCE OF EGFR GENE COPY NUMBER GAIN IN NSCLC: A SYSTEMATIC REVIEW AND META-ANALYSIS. In: JOURNAL OF THORACIC ONCOLOGY. Vol. 6. LIPPINCOTT WILLIAMS & WILKINS 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA; 2011. pp. S1005–S1005.
Barrett JK, Siannis F, Farewell VT. A semi-competing risks model for data with interval-censoring and informative observation: An application to the MRC cognitive function and ageing study. Statistics in medicine. 2011;30:1–10.
Siannis F. Sensitivity analysis for multiple right censoring processes: investigating mortality in psoriatic arthritis. Statistics in Medicine. 2011;30:356–367.
2010
Bakoyannis G, Siannis F, Touloumi G. Modelling competing risks data with missing cause of failure. Statistics in medicine. 2010;29:3172–3185.
Chandran V, Siannis F, Rahman P, Pellett FJ, Farewell VT, Gladman DD. Folate pathway enzyme gene polymorphisms and the efficacy and toxicity of methotrexate in psoriatic arthritis. The Journal of Rheumatology. 2010;37:1508–1512.
Siannis F. How to Perform Analysis of Survival Data in Surgery. Key Topics in Surgical Research and Methodology. 2010:495–506.
Siannis F, Barrett JK, Farewell VT, Tierney JF. One-stage parametric meta-analysis of time-to-event outcomes. Statistics in Medicine. 2010;29:3030–3045.
Dahabreh IJ, Linardou H, Siannis F, others. Somatic EGFR Mutation and Gene Copy Gain as Predictive. 2010.
Dahabreh IJ, Linardou H, Siannis F, Kosmidis P, Bafaloukos D, Murray S. Somatic EGFR mutation and gene copy gain as predictive biomarkers for response to tyrosine kinase inhibitors in non–small cell lung cancer. Clinical Cancer Research. 2010;16:291–303.
2008
Rao C, Hart J, Chow A, Siannis F, Tsalafouta P, Murtuza B, Darzi A, Wells FC, Athanasiou T. Does preservation of the sub-valvular apparatus during mitral valve replacement affect long-term survival and quality of life? A Microsimulation Study. Journal of Cardiothoracic Surgery. 2008;3:1–9.
2005
Siannis F, COPAS JOHN, LU GUOBING.
Sensitivity analysis for informative censoring in
. Biostatistics [Internet]. 2005;6(1):77-91.
Most statistical methods for censored survival data assume there is no dependence between the lifetime and censoring mechanisms, an assumption which is often doubtful in practice. In this paper we study a parametric model which allows for dependence in terms of a parameter δ and a bias function B(t, θ). We propose a sensitivity analysis on the estimate of the parameter of interest for small values of δ. This parameter measures the dependence between the lifetime and the censoring mechanisms. Its size can be interpreted in terms of a correlation coefficient between the two mechanisms. A medical example suggests that even a small degree of dependence between the failure and censoring processes can have a noticeableeffect on the analysis.
2004
Siannis F. Applications of a Parametric Model for Informative Censoring. Biometrics [Internet]. 2004;60:704-714. Publisher's VersionAbstract
Summary. In this article, we explore the use of a parametric model (for analyzing survival data)which is defined to allow sensitivity analysis for the presence of informative censoring. The dependence between the failure and the censoring processes is expressed through a parameter δ and a general bias function B(t, θ). We calculate the expectation of the potential bias due to informative censoring, which is an overall measure of how misleading our results might be if censoring is actually nonignorable. Bounds are also calculated for quantities of interest, e.g., parameter of the distribution of the failure process, which do not depend on the choice of the bias function for fixed δ. An application that relates to systematic lupus erythematosus data illustrates how additional information can result in reducing the uncertainty on estimates of the location parameter. Sensitivity analysis on a relative risk parameter is also explored.