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Kaplan Meier plots and statistics for the Backblaze hard disk reliability data

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backblazeKM

Updated July 27 2018 Smart hours raw or normalised are so manufacturer/drive specific that I can't think they're much use. Lots of drives have a fail followed by up to thousands more records indicating still alive. Clearly a data problem. Can't seem to get any help from the Backblaze folks.

Updated June 10 2017: removed my ggsurv functions because GGally is now patched to include them

Updated June 8 2017:

New data added. Code updated. images stowed here. Now run a series of time restricted models to allow exploration of newer drives over shorter time spans - all observations are adjusted to represent what would have been known at the end of the particular shorter period

Started February 2016 Ross Lazarus

Kaplan-Meier survival analysis for the Backblaze hard disk failure time data - see https://www.backblaze.com/blog/hard-drive-reliability-q4-2015/ and raw data at https://www.backblaze.com/hard-drive-test-data.html

R script does the modelling.

KM curves by model

KM curves by manufacturer

Python for transforming the fugly data into a format suitable for npsurv in the survival library

Blog at http://bioinformare.blogspot.com

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