Pages that link to "Item:Q4272478"
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The following pages link to Bias correction in generalized linear models (Q4272478):
Displaying 50 items.
- Transformed generalized linear models (Q2390458) (← links)
- Location-adjusted Wald statistics for scalar parameters (Q2419152) (← links)
- Comparison of designs for multivariate generalized linear models (Q2474420) (← links)
- An improved likelihood ratio test for varying dispersion in exponential family nonlinear models (Q2489798) (← links)
- Bias-corrected maximum semiparametric likelihood estimation under logistic regression models based on case\,-\,control data (Q2581803) (← links)
- Leverage adjustments for dispersion modelling in generalized nonlinear models (Q2810400) (← links)
- Unbiased estimation of biomarker panel performance when combining training and testing data in a group sequential design (Q2827204) (← links)
- Bias Correction in the Type I Generalized Logistic Distribution (Q3015863) (← links)
- A Solution to the Problem of Monotone Likelihood in Cox Regression (Q3078689) (← links)
- Multinomial logit bias reduction via the Poisson log-linear model (Q3174203) (← links)
- Improved point estimation for inverse gamma regression models (Q3389631) (← links)
- Bias Adjustment Minimizing the Asymptotic Mean Square Error (Q3458086) (← links)
- Bias Correction in Generalized Nonlinear Models with Dispersion Covariates (Q3526076) (← links)
- Bias Corrected Maximum Likelihood Estimator Under the Generalized Linear Model for a Binary Variable (Q3543697) (← links)
- A Bayesian False Discovery Rate for Multiple Testing (Q3592655) (← links)
- Bias Correction for a Generalized Log-Gamma Regression Model (Q3756343) (← links)
- A bias correction regression calibration approach in generalized linear mixed measurement error models (Q4237857) (← links)
- Improved estimators for generalized linear models with dispersion covariates (Q4253264) (← links)
- Generalized conditionally linear models (Q4253265) (← links)
- Influence diagnostics in the Gamma regression model with adjusted deviance residuals (Q4607351) (← links)
- Bias correction in the cox regression model (Q4673866) (← links)
- Two-step jackknife bias reduction for logistic regression mles (Q4844127) (← links)
- Bias correction and improved residuals for non-exponential family nonlinear models (Q4883439) (← links)
- Dealing with separation or near-to-separation in the model for multinomial response with application to childhood health seeking behavior data from a complex survey (Q5056944) (← links)
- Analysis of overfitting in the regularized Cox model (Q5059054) (← links)
- Biases in bias elicitation (Q5076927) (← links)
- Firth adjustment for Weibull current-status survival analysis (Q5077527) (← links)
- On improved estimation in multivariate Dirichlet regressions (Q5078057) (← links)
- Estimation, Testing, and Finite Sample Properties of Quasi-Maximum Likelihood Estimators in GARCH-M Models (Q5080157) (← links)
- Analytic bias correction for maximum likelihood estimators when the bias function is non-constant (Q5086128) (← links)
- Asymptotic adjustments of Pearson residuals in exponential family nonlinear models (Q5106879) (← links)
- A test for detecting etiologic heterogeneity in epidemiological studies (Q5138014) (← links)
- Corrected likelihood-ratio tests in logistic regression using small-sample data (Q5154075) (← links)
- On small‐sample inference in group randomized trials with binary outcomes and cluster‐level covariates (Q5410275) (← links)
- Improved Estimation in Cumulative Link Models (Q5743267) (← links)
- Bias Reduction and a Solution for Separation of Logistic Regression with Missing Covariates (Q5850976) (← links)
- Bias Reduction in Logistic Regression with Missing Responses When the Missing Data Mechanism is Nonignorable (Q5868209) (← links)
- Replica analysis of overfitting in generalized linear regression models (Q5870629) (← links)
- Zero-inflated generalized extreme value regression model for binary response data and application in health study (Q5887954) (← links)
- Properties of h‐Likelihood Estimators in Clustered Data (Q6064360) (← links)
- Integration of model-based recursive partitioning with bias reduction estimation: a case study assessing the impact of Oliver's four factors on the probability of winning a basketball game (Q6107421) (← links)
- Performance of prior and weighting bias correction methods for rare event logistic regression under the influence of sampling bias (Q6116469) (← links)
- Conjugate priors and bias reduction for logistic regression models (Q6178693) (← links)
- Bias‐reduced estimators of conditional odds ratios in matched case‐control studies with unmatched confounding (Q6183914) (← links)
- Bias reduction and robustness for Gaussian longitudinal data analysis (Q6552572) (← links)
- A penalized likelihood approach for dealing with separation in count data regression model (Q6562732) (← links)
- A comprehensive review of bias reduction methods for logistic regression (Q6595667) (← links)
- Bias in parametric estimation: reduction and useful side-effects (Q6604399) (← links)
- A comparison of full model specification and backward elimination of potential confounders when estimating marginal and conditional causal effects on binary outcomes from observational data (Q6625330) (← links)
- Bias-reduced and separation-proof GEE with small or sparse longitudinal binary data (Q6627143) (← links)