Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: joint modelling of longitudinal and time - to - event data : an overview .
Random Effects Models for Longitudinal Data
Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record data
The Statistical Analysis of Failure Time Data
Two likelihood-based semiparametric estimation methods for panel count data with covariates
Tree-structured survival analysis.
tutorial in biostatistics : competing risks and multi - state models .
How to Use SAS ® for GMM Logistic Regression Models for Longitudinal Data with Time-Dependent Covariates
A Simplified Method of Calculating an Overall Goodness-of-Fit Test for the Cox Proportional Hazards Model
Comparison of restricted mean survival times between treatments based on a stratified Cox model
Regression modeling of competing risk using R: an in depth guide for clinicians
Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data
Dynamic Mixture Models for Multiple Time-Series
Hypoglycemic events analysis via recurrent time-to-event (HEART) models
Fitting Cox Model Using PROC PHREG and Beyond in SAS
Analysis of changepoint models.
Latent variable analysis: Growth mixture modeling and related techniques for longitudinal data
Fast and Robust Joint Models for Biomedical Event Extraction
Hierarchical Linear Models: Applications and Data Analysis Methods
Permutation tests for joinpoint regression with applications to cancer rates.
A linear regression model for the analysis of life times
ideology and political discourse : a critical discourse analysis of erdogan ’ s political speech .
maximum likelihood from incomplete data via the em - algorithm plus discussions on the paper .
A Bag of Useful Tricks for Practical Neural Machine Translation: Embedding Layer Initialization and Large Batch Size
Governance and the Capacity to Manage Resilience in Regional Social-Ecological Systems
Bayesian neural networks for non-linear time series forecasting