rpsftm: An R Package for Rank Preserving Structural Failure Time Models.

Ian R. White

Annabel Allison Ian R. White Simon Bond rpsftm: An R Package for Rank Preserving Structural Failure Time Models. 342 2017 9 R J. 2 https://doi.org/10.32614/rj-2017-068 db/journals/rjour/rjour9.html#AllisonWB17

Ian R. White Rhian M. Daniel Patrick Royston Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables. 2267-2275 2010 54 Comput. Stat. Data Anal. 10 https://doi.org/10.1016/j.csda.2010.04.005 https://www.wikidata.org/entity/Q35153257 db/journals/csda/csda54.html#WhiteDR10

John Wood Ian R. White Paul Cutler A likelihood-based approach to defining statistical significance in proteomic analysis where missing data cannot be disregarded. 1777-1788 2004 84 Signal Process. 10 https://doi.org/10.1016/j.sigpro.2004.06.019 db/journals/sigpro/sigpro84.html#WoodWC04

Annabel Allison Simon Bond Paul Cutler Rhian M. Daniel Patrick Royston John Wood