Pages that link to "Item:Q5857978"
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The following pages link to Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models (Q5857978):
Displaying 14 items.
- Mean and median bias reduction in generalized linear models (Q77213) (← links)
- The compactification of generalized linear models (Q4696593) (← 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)
- Maximum softly-penalized likelihood for mixed effects logistic regression (Q6171797) (← 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)
- Bounded-memory adjusted scores estimation in generalized linear models with large data sets (Q6581674) (← links)
- A comprehensive review of bias reduction methods for logistic regression (Q6595667) (← 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)
- Improved estimation in negative binomial regression (Q6628382) (← 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)
- Reduced bias estimation of the log odds ratio (Q6640138) (← links)
