Pages that link to "Item:Q3332079"

The following pages link to On the existence of maximum likelihood estimates in logistic regression models (Q3332079):

Displaying 29 items.

• The Generalized Oaxaca-Blinder Estimator (Q6107228) (← 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)
• On the Hauck–Donner Effect in Wald Tests: Detection, Tipping Points, and Parameter Space Characterization (Q6110699) (← links)
• A new robust parameter estimation approach for multinomial categorical response data with outliers and mismeasured covariates (Q6164698) (← links)
• Inference for sparse linear regression based on the leave-one-covariate-out solution path (Q6164734) (← links)
• On functional logistic regression: some conceptual issues (Q6169916) (← 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)
• Controlling Separation in Generating Samples for Logistic Regression Models (Q6497052) (← links)
• When are first-order asymptotics adequate? A diagnostic (Q6537773) (← links)
• A penalized likelihood approach for dealing with separation in count data regression model (Q6562732) (← links)
• Bounded-memory adjusted scores estimation in generalized linear models with large data sets (Q6581674) (← links)
• Minimum information dependence modeling (Q6589565) (← links)
• A comprehensive review of bias reduction methods for logistic regression (Q6595667) (← links)
• Cauchy and other shrinkage priors for logistic regression in the presence of separation (Q6600380) (← links)
• Bias in parametric estimation: reduction and useful side-effects (Q6604399) (← links)
• Model-assisted estimators for time-to-event data from complex surveys (Q6617384) (← links)
• Simultaneous inference of multiple binary endpoints in biomedical research: small sample properties of multiple marginal models and a resampling approach (Q6625491) (← links)
• Penalized maximum likelihood inference under the mixture cure model in sparse data (Q6625753) (← links)
• Sample size considerations and predictive performance of multinomial logistic prediction models (Q6625984) (← links)
• Bias-reduced and separation-proof GEE with small or sparse longitudinal binary data (Q6627143) (← links)
• Adjusted score functions for monotone likelihood in the Cox regression model (Q6627358) (← links)
• A straightforward meta-analysis approach for oncology phase I dose-finding studies (Q6628513) (← links)
• Network meta-analysis of rare events using penalized likelihood regression (Q6629363) (← links)
• Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data (Q6631674) (← links)
• Factorial Designs for Online Experiments (Q6631856) (← links)
• Bayesian information criterion approximations to Bayes factors for univariate and multivariate logistic regression models (Q6636023) (← links)
• Firth-type penalized methods of the modified Poisson and least-squares regression analyses for binary outcomes (Q6649367) (← links)
• Power logit regression for modeling bounded data (Q6669974) (← links)