Pages that link to "Item:Q3078999"
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The following pages link to Parameter Estimation in Longitudinal Studies with Outcome-Dependent Follow-Up (Q3078999):
Displaying 31 items.
- Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule (Q425636) (← links)
- Semiparametric regression analysis of panel count data with informative observation times (Q452572) (← links)
- Regression analysis of longitudinal data with time-dependent covariates in the presence of informative observation and censoring times (Q538149) (← links)
- Missing data methods in longitudinal studies: a review (Q619079) (← links)
- Semiparametric analysis of longitudinal data with informative observation times (Q628623) (← links)
- Estimation of finite population duration distributions from longitudinal survey panels with intermittent followup (Q746473) (← links)
- Biased sampling designs to improve research efficiency: factors influencing pulmonary function over time in children with asthma (Q746666) (← links)
- Semiparametric analysis of panel count data with correlated observation and follow-up times (Q841055) (← links)
- Analyzing longitudinal data with informative observation times under biased sampling (Q1017809) (← links)
- Semiparametric log-linear regression for longitudinal measurements subject to outcome-depen\-dent follow-up (Q1031757) (← links)
- Estimation of the marginal effect of antidepressants on body mass index under confounding and endogenous covariate-driven monitoring times (Q2170439) (← links)
- Quantile regression analysis of censored longitudinal data with irregular outcome-dependent follow-up (Q2805180) (← links)
- G-estimation for dynamic treatment regimes in the longitudinal setting (Q2829298) (← links)
- Outcome vector dependent sampling with longitudinal continuous response data: stratified sampling based on summary statistics (Q2846448) (← links)
- Regression analysis of longitudinal data with time-dependent covariates and informative observation times (Q2911716) (← links)
- Estimation in regression models for longitudinal binary data with outcome-dependent follow-up (Q3434159) (← links)
- Robust estimation for longitudinal data with informative observation times (Q3463397) (← links)
- Longitudinal data analysis for generalized linear models with follow-up dependent on outcome-related variables (Q3512628) (← links)
- Sampling Bias and Logistic Models (Q3631466) (← links)
- Marginal Mark Regression Analysis of Recurrent Marked Point Process Data (Q3636983) (← links)
- Analysis of Longitudinal Data with Irregular, Outcome-Dependent Follow-Up (Q4819028) (← links)
- Joint analysis of longitudinal data and recurrent episodes data with application to medical cost analysis (Q4902185) (← links)
- Semiparametric analysis of longitudinal data with informative observation times and censoring times (Q5036464) (← links)
- A Conditional Approach for Regression Analysis of Longitudinal Data with Informative Observation Time and Non-negligible Observation Duration (Q5177599) (← links)
- Prospective Accuracy for Longitudinal Markers (Q5459574) (← links)
- Local Model Uncertainty and Incomplete-Data Bias (With Discussion) (Q5473051) (← links)
- Partly Conditional Survival Models for Longitudinal Data (Q5714620) (← links)
- Weighted regression analysis to correct for informative monitoring times and confounders in longitudinal studies (Q6047800) (← links)
- Robust estimation for longitudinal data under outcome‐dependent visit processes (Q6080818) (← links)
- Flexible multivariate joint model of longitudinal intensity and binary process for medical monitoring of frequently collected data (Q6627714) (← links)
- Variable selection in semiparametric regression models for longitudinal data with informative observation times (Q6628630) (← links)
