survivalMPLdc-package: Penalised Likelihood for Survival Analysis with Dependent...

Description References

Description

Penalised Likelihood for Survival Analysis with Dependent Censoring

References

Ma, J. (2010). "Positively constrained multiplicative iterative algorithm for maximum penalised likelihood tomographic reconstruction". IEEE Transactions On Signal Processing 57, 181-192.

Brodaty H, Woodward M, Boundy K, Ames D, Balshaw R. (2011). "Patients in Australian memory clinics: baseline characteristics and predictors of decline at six months". Int Psychogeriatr 23, 1086-1096.

Ma, J. and Heritier, S. and Lo, S. (2014). "On the Maximum Penalised Likelihood Approach for Proportional Hazard Models with Right Censored Survival Data". Computational Statistics and Data Analysis 74, 142-156.

Brodaty H, Connors M, Xu J, Woodward M, Ames D. (2014). "Predictors of institutionalization in dementia: a three year longitudinal study". Journal of Alzheimers Disease 40, 221-226.

Xu J, Ma J, Connors MH, Brodaty H. (2018). "Proportional hazard model estimation under dependent censoring using copulas and penalized likelihood". Statistics in Medicine 37, 2238–2251.


Kenny-Jing-Xu/survivalMPLdc documentation built on Oct. 6, 2020, 2:11 p.m.