Pages that link to "Item:Q3512628"
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The following pages link to Longitudinal data analysis for generalized linear models with follow-up dependent on outcome-related variables (Q3512628):
Displaying 13 items.
- Semiparametric log-linear regression for longitudinal measurements subject to outcome-depen\-dent follow-up (Q1031757) (← links)
- Data mining for longitudinal data under multicollinearity and time dependence using penalized generalized estimating equations (Q1621346) (← links)
- Meeting the assumptions of inverse-intensity weighting for longitudinal data subject to irregular follow-up: suggestions for the design and analysis of clinic-based cohort studies (Q2192300) (← links)
- Quantile regression analysis of censored longitudinal data with irregular outcome-dependent follow-up (Q2805180) (← links)
- Parameter Estimation in Longitudinal Studies with Outcome-Dependent Follow-Up (Q3078999) (← links)
- Duration analysis in longitudinal studies with intermittent observation times and losses to followup (Q3225766) (← links)
- Estimation in regression models for longitudinal binary data with outcome-dependent follow-up (Q3434159) (← links)
- Analysis of Longitudinal Data with Irregular, Outcome-Dependent Follow-Up (Q4819028) (← links)
- Time‐Varying Latent Effect Model for Longitudinal Data with Informative Observation Times (Q4911932) (← links)
- Time to Diagnosis: Accounting for Differential Endpoint Follow-up in Multi-Cohort Studies (Q5252821) (← links)
- Mixed‐effects models for health care longitudinal data with an informative visiting process: A Monte Carlo simulation study (Q6067656) (← links)
- Robust estimation for longitudinal data under outcome‐dependent visit processes (Q6080818) (← links)
- Causal inference with longitudinal data subject to irregular assessment times (Q6625776) (← links)
