Missing observations (Statistics)

Computational reconstruction of missing data in biological research by: (Electronic resources)

Multiple imputation in practice = with examples using IVEware / by: (Electronic resources)

Missing data in longitudinal studies : = strategies for Bayesian modeling and sensitivity analysis / by: (Language materials, printed)

Bayesian missing data problems : = EM, data augmentation and noniterative computation / by: (Language materials, printed)

Missing data in longitudinal studies = strategies for Bayesian modeling and sensitivity analysis / by: (Electronic resources)

Bayesian missing data problems = EM, data augmentation and noniterative computation / by: (Electronic resources)

Missing data methods = cross-sectional methods and applications / by: (Electronic resources)

Multiple imputation and its application by: (Electronic resources)

Missing data analysis in practice / by: (Language materials, printed)

Dark data = why what you don't know matters / by: (Electronic resources)

Multiple imputation of missing data in practice : = basic theory and analysis strategies / by: (Language materials, printed)

Errors, blunders, and lies : = how to tell the difference / by: (Language materials, printed)