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Clinical Pharmacology & Therapeutics, ISSN 0009-9236, 07/2019, Volume 106, Issue 1, pp. 174 - 181
Generic drug products are approved by the US Food and Drug Administration ( FDA ) through Abbreviated New Drug Applications ( ANDA s). The ANDA review and... 
PHARMACOLOGY & PHARMACY | NEURAL-NETWORKS | BRAND-NAME | SURVIVAL-DATA | TRENDS
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 02/2020, Volume 142
The mean residual life function is an important and attractive alternative to the survival function or the hazard function of survival time in practice. It... 
Mean residual life | Estimating equations | Censored survival data | Biased sampling
Journal Article
Journal of Statistical Software (Online), ISSN 1548-7660, 07/2010, Volume 35, Issue 9, pp. 1 - 33
textabstractIn longitudinal studies measurements are often collected on different types of outcomes for each subject. These may include several longitudinally... 
Longitudinal data | Attrition | Time-dependent covariates | Shared parameter models | Dropout | Survival data | shared parameter models | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | attrition | SURVIVAL-DATA | dropout | LIKELIHOOD APPROACH | survival data | STATISTICS & PROBABILITY | ERROR | longitudinal data | time-dependent covariates
Journal Article
The New England Journal of Medicine, ISSN 0028-4793, 04/2016, Volume 374, Issue 16, pp. 1511 - 1520
Journal Article
Journal of Hydrologic Engineering, ISSN 1084-0699, 07/2007, Volume 12, Issue 4, pp. 347 - 368
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 01/2009, Volume 10, pp. 141 - 158
Subgroup analysis is an integral part of comparative analysis where assessing the treatment effect on a response is of central interest. Its goal is to... 
Subgroup analysis | Interaction | Random forests | CART | subgroup analysis | SURVIVAL-DATA | MODEL SELECTION | interaction | random forests | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
The Oncologist, ISSN 1083-7159, 07/2019, Volume 24, Issue 7, pp. 867 - 871
In randomized clinical trials, the magnitude of the treatment effect is often reported using the hazard ratio (HR) even when the proportional hazards (PH)... 
Survival data analysis | Clinical trials | Time‐to‐event outcomes | Cox proportional hazards model | Time-to-event outcomes
Journal Article
Cancer Epidemiology Biomarkers and Prevention, ISSN 1055-9965, 06/2017, Volume 26, Issue 6, pp. 809 - 815
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2010, Volume 36, Issue 2, pp. 1 - 34
For right-censored data perhaps the most commonly used tests are weighted logrank tests, such as the logrank and Wilcoxon-type tests. In this paper we review... 
Wilcoxon test | Logrank test | Network algorithm | R | Exact tests | IMPUTATION | STATISTICS & PROBABILITY | exact tests | INFERENCE | FAILURE TIME DATA | logrank test | network algorithm | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | PROPORTIONAL HAZARDS MODEL | NONPARAMETRIC-ESTIMATION | SURVIVAL-DATA | RANK-TESTS
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 04/2012, Volume 47, Issue 4, pp. 1 - 28
Frailty models are very useful for analysing correlated survival data, when observations are clustered into groups or for recurrent events. The aim of this... 
Hazard functions | Splines | Cross-validation | Frailty models | Correlated survival data | Marquardt | Penalized likelihood | HETEROGENEITY | penalized likelihood | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | PROPORTIONAL HAZARDS MODEL | hazard functions | ALGORITHM | STATISTICS & PROBABILITY | cross-validation | splines | frailty models | correlated survival data | R
Journal Article