Pages that link to "Item:Q3332079"

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

Displaying 50 items.

• Specification tests in ordered logit and probit models (Q4373274) (← links)
• Propriety of posterior distribution for dichotomous quantal response models (Q4510075) (← links)
• Small-sample techniques for comparing several logistic regression slopes to a standard (Q4534196) (← links)
• On the existence of maximum likelihood estimates for weighted logistic regression (Q4595898) (← links)
• Comparison to control in logistic regression (Q4787635) (← links)
• Two-step jackknife bias reduction for logistic regression mles (Q4844127) (← links)
• Regression of directed graphs on independent effects for density and reciprocity (Q4963389) (← links)
• A comparison of model selection methods for prediction in the presence of multiply imputed data (Q4967098) (← links)
• Firth's penalized method in Cox proportional hazard framework for developing predictive models for sparse or heavily censored survival data (Q5033935) (← links)
• Stochastic Tverberg Theorems With Applications in Multiclass Logistic Regression, Separability, and Centerpoints of Data (Q5037559) (← links)
• Bradley–Terry modeling with multiple game outcomes with applications to College Hockey (Q5049150) (← links)
• On Improving the Performance of Logistic Regression Analysis Via Extreme Ranking (Q5050422) (← links)
• Logistic Regression Models for Aggregated Data (Q5066488) (← links)
• Catalytic prior distributions with application to generalized linear models (Q5073071) (← links)
• Firth adjustment for Weibull current-status survival analysis (Q5077527) (← links)
• Reducing sample size needed for cox-proportional hazards model analysis using more efficient sampling method (Q5078440) (← links)
• Efficient fused learning for distributed imbalanced data (Q5079858) (← links)
• On the relationship between multicollinearity and separation in logistic regression (Q5082669) (← links)
• A Relabeling Approach to Handling the Class Imbalance Problem for Logistic Regression (Q5083371) (← links)
• A comparative study on the performance of frequentist and Bayesian estimation methods under separation in logistic regression (Q5083480) (← links)
• Penalized maximum likelihood estimation in the modified extended Weibull distribution (Q5086151) (← links)
• Maximum likelihood estimation for discrete exponential families and random graphs (Q5101306) (← links)
• Fast Bayesian variable screenings for binary response regressions with small sample size (Q5106969) (← links)
• Testing the proportional odds assumption in multiply imputed ordinal longitudinal data (Q5130336) (← links)
• More efficient logistic analysis using moving extreme ranked set sampling (Q5138578) (← links)
• (Q5148935) (← links)
• (Q5152641) (← links)
• Corrected likelihood-ratio tests in logistic regression using small-sample data (Q5154075) (← links)
• (Q5155178) (← links)
• A solution to separation for clustered binary data (Q5193326) (← links)
• Gaining insight with recursive partitioning of generalized linear models (Q5218867) (← links)
• A pool-adjacent-violators-algorithm approach to detect infinite parameter estimates in one-regressor dose–response models with asymptotes (Q5219511) (← links)
• Quasi-complete separation in random effects of binary response mixed models (Q5222516) (← links)
• A COMPARISON OF LOGISTIC REGRESSION AND MACHINE LEARNING ALGORITHMS APPLIED TO ZERO COUNTS DATA IN CONTINGENCY TABLES (Q5237653) (← links)
• On the existence of the least squares estimate in nonlinear growth curve models of exponential type (Q5283852) (← links)
• Adaptive prior weighting in generalized regression (Q5347424) (← links)
• A note on separated data and exact likelihood-ratio<i>p</i>-values in logistic regression (Q5697319) (← links)
• Improved Estimation in Cumulative Link Models (Q5743267) (← links)
• Bias Reduction and a Solution for Separation of Logistic Regression with Missing Covariates (Q5850976) (← links)
• A Unifying Tutorial on Approximate Message Passing (Q5863992) (← links)
• Bias Reduction in Logistic Regression with Missing Responses When the Missing Data Mechanism is Nonignorable (Q5868209) (← links)
• A Multimodal Multilevel Neuroimaging Model for Investigating Brain Connectome Development (Q5881117) (← links)
• The asymptotic distribution of the proportion of correct classifications for a holdout sample in logistic regression (Q5929953) (← links)
• Measuring overlap in binary regression. (Q5941426) (← links)
• Spatial clustering of time series via mixture of autoregressions models and Markov random fields (Q6064123) (← links)
• Modified score function for monotone likelihood in the semiparametric mixture cure model (Q6068494) (← links)
• Using Survey Sampling Algorithms For Exact Inference in Logistic Regression (Q6068497) (← links)
• Simplex-based Multinomial Logistic Regression with Diverging Numbers of Categories and Covariates (Q6069485) (← links)
• Bayesian solution to the monotone likelihood in the standard mixture cure model (Q6089502) (← links)
• On the analytical properties of category encodings in logistic regression (Q6103268) (← links)