Pages that link to "Item:Q1962200"
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The following pages link to Correcting bias due to misclassification in the estimation of logistic regression models (Q1962200):
Displaying 15 items.
- Sampling bias and class imbalance in maximum-likelihood logistic regression (Q621810) (← links)
- Logistic regression with outcome and covariates missing separately or simultaneously (Q1800114) (← links)
- Semiparametric estimation of logistic regression model with missing covariates and outcome (Q1936669) (← links)
- On continuity correction for RSS-structured cluster randomized designs with binary outcomes (Q2098293) (← links)
- Bias analysis for misclassification in a multicategorical exposure in a logistic regression model (Q2439631) (← links)
- Bias-corrected maximum semiparametric likelihood estimation under logistic regression models based on case\,-\,control data (Q2581803) (← links)
- Assessment of misclassification in a binary response: recovering information on clinically significant cataract prevalence from cataract surgery data in atomic-bomb survivors (Q2881330) (← links)
- Robust mislabel logistic regression without modeling mislabel probabilities (Q3119819) (← links)
- A NOTE ON THE CORRECTED SCORE FUNCTION ADJUSTING FOR MISCLASSIFICATION (Q4210854) (← links)
- (Q4801744) (← links)
- Misspecification of a binary dependent variable in the logistic model controlling for the repeated longitudinal measures (Q5058232) (← links)
- The need to conduct repeated classifications in a logistic regression model with misclassification in the dependent variable (Q5082621) (← links)
- A weighted zero-inflated Poisson model for estimation of recurrence of adenomas (Q5425035) (← links)
- A General Method for Dealing with Misclassification in Regression: The Misclassification SIMEX (Q5473210) (← links)
- Estimation of parameters of logistic regression with covariates missing separately or simultaneously (Q6103277) (← links)
