Pages that link to "Item:Q79378"

The following pages link to The International Journal of Biostatistics (Q79378):

Displaying 50 items.

• Prediction-based variable selection for component-wise gradient boosting (Q6590297) (← links)
• Within-subject mediation analysis in \(AB/BA\) crossover designs (Q6593497) (← links)
• Conditional transformation models for survivor function estimation (Q6593498) (← links)
• A universal approximate cross-validation criterion for regular risk functions (Q6593499) (← links)
• Double bias: estimation of causal effects from length-biased samples in the presence of confounding (Q6593500) (← links)
• Flexible regression models for rate differences, risk differences and relative risks (Q6593501) (← links)
• Nearest-neighbor estimation for ROC analysis under verification bias (Q6593502) (← links)
• Quantifying an agreement study (Q6593503) (← links)
• Robust Bayesian sensitivity analysis for case-control studies with uncertain exposure misclassification probabilities (Q6593505) (← links)
• A semi-stationary copula model approach for bivariate survival data with interval sampling (Q6593506) (← links)
• Comparison of splitting methods on survival tree (Q6593507) (← links)
• The effect of error-in-confounders on the estimation of the causal parameter when using marginal structural models and inverse probability-of-treatment weights: a simulation study (Q6632690) (← links)
• Multiple contrast tests for multiple endpoints in the presence of heteroscedasticity (Q6632691) (← links)
• Targeted estimation of nuisance parameters to obtain valid statistical inference (Q6632692) (← links)
• Locally efficient estimation of marginal treatment effects when outcomes are correlated: is the prize worth the chase? (Q6632693) (← links)
• Targeted estimation of binary variable importance measures with interval-censored outcomes (Q6632695) (← links)
• An approach to evaluating and comparing biomarkers for patient treatment selection (Q6632697) (← links)
• On the correction of the asymptotic distribution of the likelihood ratio statistic if nuisance parameters are estimated based on an external source (Q6632698) (← links)
• Large sample bounds on the survivor average causal effect in the presence of a binary covariate with conditionally ignorable treatment assignment (Q6632700) (← links)
• Estimation of a predictor's importance by random forests when there is missing data: RISK prediction in liver surgery using laboratory data (Q6632702) (← links)
• Optimal design strategies for sibling studies with binary exposures (Q6632704) (← links)
• Piecewise cause-specific association analyses of multivariate untied or tied competing risks data (Q6632705) (← links)
• A comparison of exact tests for trend with binary endpoints using Bartholomew's statistic (Q6632707) (← links)
• Semiparametric odds rate model for modeling short-term and long-term effects with application to a breast cancer genetic study (Q6632708) (← links)
• Classification in postural style based on stochastic process modeling (Q6632709) (← links)
• Fuzzy set regression method to evaluate the heterogeneity of misclassifications in disease screening with interval-scaled variables: application to osteoporosis (KCIS No. 26) (Q6632711) (← links)
• Improving dietary exposure models by imputing biomonitoring data through ABC methods (Q6632713) (← links)
• Multiple curve comparisons with an application to the formation of the dorsal funiculus of mutant mice (Q6632715) (← links)
• Special issue on data-adaptive statistical inference (Q6632716) (← links)
• Statistical inference for data adaptive target parameters (Q6632717) (← links)
• Evaluations of the optimal discovery procedure for multiple testing (Q6632718) (← links)
• Addressing confounding in predictive models with an application to neuroimaging (Q6632721) (← links)
• Model-based recursive partitioning for subgroup analyses (Q6632722) (← links)
• The orthogonally partitioned EM algorithm: extending the EM algorithm for algorithmic stability and bias correction due to imperfect data (Q6632723) (← links)
• A sequential rejection testing method for high-dimensional regression with correlated variables (Q6632724) (← links)
• Variable selection for confounder control, flexible modeling and collaborative targeted minimum loss-based estimation in causal inference (Q6632725) (← links)
• Testing the relative performance of data adaptive prediction algorithms: a generalized test of conditional risk differences (Q6632726) (← links)
• A case study of the impact of data-adaptive versus model-based estimation of the propensity scores on causal inferences from three inverse probability weighting estimators (Q6632727) (← links)
• Influence re-weighted g-estimation (Q6632728) (← links)
• Optimal spatial prediction using ensemble machine learning (Q6632730) (← links)
• AUC-maximizing ensembles through metalearning (Q6632731) (← links)
• Selection bias when using instrumental variable methods to compare two treatments but more than two treatments are available (Q6632732) (← links)
• Doubly robust and efficient estimation of marginal structural models for the hazard function (Q6632733) (← links)
• Data-adaptive bias-reduced doubly robust estimation (Q6632734) (← links)
• Optimal individualized treatments in resource-limited settings (Q6632735) (← links)
• Super-learning of an optimal dynamic treatment rule (Q6632736) (← links)
• Second-order inference for the mean of a variable missing at random (Q6632737) (← links)
• One-step targeted minimum loss-based estimation based on universal least favorable one-dimensional submodels (Q6632738) (← links)
• Adaptive design for staggered-start clinical trial (Q6632739) (← links)
• A comparison of some approximate confidence intervals for a single proportion for clustered binary outcome data (Q6632740) (← links)