Pages that link to "Item:Q3201473"

The following pages link to An Approach to the Analysis of Repeated Measurements (Q3201473):

Displaying 18 items.

• Flexible methods for analysing longitudinal data using piecewise cubic polynomials (Q4869589) (← links)
• Estimation of the linear mixed integrated Ornstein–Uhlenbeck model (Q5106871) (← links)
• Analysis of correlated series of repeated measurements: application to challenge data (Q5122420) (← links)
• Estimating Correlation Coefficient between Two Variables with Repeated Observations using Mixed Effects Model (Q5122815) (← links)
• Flexible estimation of serial correlation in nonlinear mixed models (Q5123581) (← links)
• Advances in medical statistics arising from the AIDS epidemic (Q5424106) (← links)
• A Modified Pseudolikelihood Approach for Analysis of Longitudinal Data (Q5434893) (← links)
• Joint Models for a Primary Endpoint and Multiple Longitudinal Covariate Processes (Q5449905) (← links)
• A Comparison of REML and Covariance Adjustment Method in the Estimation of Growth Curve Models (Q5495070) (← links)
• <i>D</i>-optimal population designs in linear mixed effects models for multiple longitudinal data (Q5880067) (← links)
• Bayesian estimation for longitudinal data in a joint model with HPCs (Q6044813) (← links)
• Modelling temporal genetic and spatio‐temporal residual effects for high‐throughput phenotyping data* (Q6051630) (← links)
• Statistical analysis of longitudinal studies (Q6067604) (← links)
• A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution (Q6107644) (← links)
• Expectile and M-quantile regression for panel data (Q6547770) (← links)
• A latent variable mixed-effects location scale model that also considers between-person differences in the autocorrelation (Q6560462) (← links)
• A longitudinal study of the influence of air pollutants on children: a robust multivariate approach (Q6604273) (← links)
• Flexible Bayesian modeling for longitudinal binary and ordinal responses (Q6657813) (← links)