The following pages link to Statistics in Medicine (Q57552):
Displaying 50 items.
- Two-stage randomized clinical trials with a right-censored endpoint: comparison of frequentist and Bayesian adaptive designs (Q6618333) (← links)
- A seamless phase II/III design with dose optimization for oncology drug development (Q6618336) (← links)
- Model-based bioequivalence approach for sparse pharmacokinetic bioequivalence studies: model selection or model averaging? (Q6618344) (← links)
- Familywise error for multiple time-to-event endpoints in a group sequential design (Q6618348) (← links)
- Bayesian hierarchical profile regression for binary covariates (Q6618353) (← links)
- Adding experimental treatment arms to multi-arm multi-stage platform trials in progress (Q6618355) (← links)
- Categorical linkage-data analysis (Q6618356) (← links)
- REDOMA: Bayesian random-effects dose-optimization meta-analysis using spike-and-slab priors (Q6618357) (← links)
- Conditional score approaches to errors-in-variables competing risks data in discrete time (Q6618358) (← links)
- Non-parametric inference on calibration of predicted risks (Q6618360) (← links)
- Bayesian transition models for ordinal longitudinal outcomes (Q6618362) (← links)
- Comparing two hazard curves when there is a treatment time-lag effect (Q6618363) (← links)
- Generalized single index modeling of longitudinal data with multiple binary responses (Q6618364) (← links)
- Assurance methods for designing a clinical trial with a delayed treatment effect (Q6618366) (← links)
- A multi-arm multi-stage platform design that allows preplanned addition of arms while still controlling the family-wise error (Q6618368) (← links)
- A sparse factor model for clustering high-dimensional longitudinal data (Q6618369) (← links)
- Improved mortality analysis in early-phase dose-ranging clinical trials for emergency medical diseases using Bayesian time-to-event models with active comparators (Q6618377) (← links)
- Sensitivity analysis for principal ignorability violation in estimating complier and noncomplier average causal effects (Q6618379) (← links)
- deepAFT: a nonlinear accelerated failure time model with artificial neural network (Q6618381) (← links)
- Data fusion for predicting long-term program impacts (Q6618383) (← links)
- Bayesian mixture modelling with ranked set samples (Q6618384) (← links)
- Nonparametric empirical Bayes biomarker imputation and estimation (Q6618385) (← links)
- Correction to: ``Propensity score weighting for covariate adjustment in randomized clinical trials'' (Q6618387) (← links)
- Renewable risk assessment of heterogeneous streaming time-to-event cohorts (Q6618389) (← links)
- Robust inference methods for meta-analysis involving influential outlying studies (Q6618390) (← links)
- Integrative deep learning with prior assisted feature selection (Q6618391) (← links)
- Propensity score weighted multi-source exchangeability models for incorporating external control data in randomized clinical trials (Q6618393) (← links)
- Differential network knockoff filter with application to brain connectivity analysis (Q6618396) (← links)
- A multivariate to multivariate approach for voxel-wise genome-wide association analysis (Q6618397) (← links)
- Review of weighted exponential random graph models frameworks applied to neuroimaging (Q6618399) (← links)
- Addressing dispersion in mis-measured multivariate binomial outcomes: a novel statistical approach for detecting differentially methylated regions in bisulfite sequencing data (Q6618402) (← links)
- Exploratory subgroup identification in the heterogeneous Cox model: a relatively simple procedure (Q6618404) (← links)
- Latent classification model for censored longitudinal binary outcome (Q6618408) (← links)
- A Bayesian non-stationary heteroskedastic time series model for multivariate critical care data (Q6618410) (← links)
- Bayesian survival analysis with INLA (Q6618411) (← links)
- Comparison of methods that combine multiple randomized trials to estimate heterogeneous treatment effects (Q6618414) (← links)
- Optimizing dynamic predictions from joint models using super learning (Q6618415) (← links)
- Classified functional mixed effects model prediction (Q6618416) (← links)
- Addressing subject heterogeneity in time-dependent discrimination for biomarker evaluation (Q6618417) (← links)
- Nonparametric estimation of linear personalized diagnostics rules via efficient grid algorithm (Q6618419) (← links)
- Likelihood ratio combination of multiple biomarkers via smoothing spline estimated densities (Q6618421) (← links)
- Effective sample size: a measure of individual uncertainty in predictions (Q6618422) (← links)
- Safety signal detection with control of latent factors (Q6618424) (← links)
- Statistical inference on qualitative differences in the magnitude of an effect (Q6618425) (← links)
- Modeling variation in mixture effects over space with a Bayesian spatially varying mixture model (Q6618429) (← links)
- Multiply robust generalized estimating equations for cluster randomized trials with missing outcomes (Q6618431) (← links)
- Scaled average bioequivalence methods for highly variable drugs: leveling-off soft limits and the EMA's 2010 guideline (some ways to improve its type I error control) (Q6618434) (← links)
- Targeted learning in observational studies with multi-valued treatments: an evaluation of antipsychotic drug treatment safety (Q6618441) (← links)
- Simultaneous variable selection and estimation for survival data via the Gaussian seamless-\(L_0\) penalty (Q6618442) (← links)
- Multivariate probit linear mixed models for multivariate longitudinal binary data (Q6618443) (← links)
