Double-blind evaluation and benchmarking of survival models in a multi-centre study

Taktak, Azzam; Antolini, Laura; Aung, Min S. H.; Boracchi, Patrizia; Campbell, Ian; Damato, Bertil; Ifeachor, Emmanuel; Lama, Nicola; Lisboa, Paulo J. G.; Setzkorn, Christian; Stalbovskaya, Viktoriya; Biganzoli, Elia

doi:10.1016/j.compbiomed.2006.10.001

Cited by 20 publications

(21 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such a procedure could be adopted for the design of multicentre studies resorting to datasets from the partner groups or groups from outside of the consortium of partners. For example, the precise definition of evaluation of methods was the subject of recent research (2002-2008) carry out on various international research projects funded by the European Union (EU) such as the BioPattern Network of Excellence (NoE) funded by the Framework Programme 6 (FP6) [2]- [4] [15].…”

Section: Methods Of Evaluationmentioning

confidence: 99%

“…Extensions to that framework were being investigated recently [54] for the assessment of the model discrimination performances. The Hosmer-Lemeshow statistical test for measuring the fitting ability of a model can be used in survival analysis [15] [59]. The Akaike Information Criterion (AIC) [6]- [9] can identify the prognostic variables from a medical dataset.…”

Section: Methods Of Evaluationmentioning

confidence: 99%

“…Many other medical datasets exist in the literature and some are available to be used in multicentre retrospective studies: Primary Billiary Cirrhosis (PBC) [37]- [39], breast cancer [40], lung cancer data, prostate cancer data [41], burn patient data [6] or ocular melanoma data [15].…”

Section: Amentioning

confidence: 99%

“…There are advantages and disadvantages when making a retrospective or a prospective study. It is possible to have cohort studies [13], case-control studies [14], randomized-control study, singleblind or double-blind studies/trials [15].…”

Section: Introductionmentioning

confidence: 99%

“…In the last two decade there have been realized multicentre studies for survival analysis and hence the interest in knowing the methodology to be followed in realizing such a study [15]- [22].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Multicentre study desing in survival analysis

Arsene

Lisboa

2012

2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

View full text Add to dashboard Cite

Survival analysis is an important part of medical statistics or for the study of failures in mechanical systems. The latter is called reliability analysis in engineering. This paper addresses the survival analysis in medical research. In this context of medical research, the survival analysis is frequently used to define prognostic indices for survival or recurrence of a disease, and to study outcome of treatment. Within the broader domain of medical survival analysis or more specifically for the study of patients with cancer disease, there are a number of clinical/prognostic techniques developed over the last half of century in many research groups, universities and hospitals around the globe. Despite numerous publications on each of these techniques, there is still a need of evaluating the numerical outputs of the different prognostic algorithms on identical medical datasets. Hence the need to benchmark the mathematical algorithms against the available medical and other cancer datasets held by various research groups from universities or hospitals. The main scope of a benchmark process is to specifically inform and to provide prognostic advice and choice of post-operative adjuvant therapy. It is also essential to define data acquisition protocols, to create the necessary databases on which the benchmarked methodologies can be tested. In case there are several research groups which are taking part in a benchmark study, then they form a multicentre study. This paper presents the steps to be followed in order to realize such a multicentre study.

show abstract

Section: Methods Of Evaluationmentioning

confidence: 99%