Acknowledgement for CSG tools for analysis

CONCORD life tables

The following form of acknowledgement is requested from users who publish analyses using our life tables.

Recommended citation for the life tables: Spika D, Rachet B, Bannon F, Woods LM, Maringe C, Bonaventure A, Coleman MP, Allemani C. Life tables for the CONCORD-2 study. Available from: https://csg.lshtm.ac.uk/life-tables, downloaded on [date]. 

Recommended citation for the methodology: Rachet B, Maringe C, Woods LM, Ellis L, Spika D, Allemani C. Multivariable flexible modelling for estimating complete, smoothed life tables for sub-national populations. BMC Public Health 2015; 15: 1240.

Strel

The strel survival analysis algorithm was originally based on code written by Professor Jacques Estève, Service de Biostatistique, Hôpitaux de Lyon. It was later re-written in STATA, and its capabilities substantially extended, by Michael Hills, Andy Sloggett, Bianca De Stavola and Bernard Rachet.

The algorithm has not been formally published, but it has been extensively beta-tested, and was the analytic engine for a substantial monograph on cancer survival in England and Wales, for which many thousands of analyses were done.

The following form of acknowledgment is requested from users who publish analyses done with any version of strel:

Cancer Research UK Cancer Survival Group (2006). strel computer program, version <number> and life tables for cancer survival analysis. Downloaded from https://csg.lshtm.ac.uk/tools-analysis/strel-strel2/ on [date]. Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, UK

Ewblft

The following form of acknowledgement is requested from users who publish analyses using any version of ewblft:

Cancer Research UK Cancer Survival Group (2006). ewblft algorithm, version [insert number]. Downloaded from https://csg.lshtm.ac.uk/tools-analysis/ewblft/ on [date]. Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine UK.