The following pages link to Statistics in Medicine (Q57552):
Displaying 50 items.
- Sample size determination for prediction models via learning-type curves (Q6615972) (← links)
- Flexible cost-penalized Bayesian model selection: developing inclusion paths with an application to diagnosis of heart disease (Q6615973) (← links)
- Standardization and other approaches to meta-analyze differences in means (Q6615976) (← links)
- Design of randomized clinical trials with a binary endpoint: conditional versus unconditional analyses of a two-by-two table (Q6615977) (← links)
- Model-assisted estimators for time-to-event data from complex surveys (Q6617384) (← links)
- Discrete-time survival data with longitudinal covariates (Q6617385) (← links)
- Bias testing, bias correction, and confounder selection using an instrumental variable model (Q6617386) (← links)
- Statistical approaches using longitudinal biomarkers for disease early detection: a comparison of methodologies (Q6617388) (← links)
- Robust estimation for linear panel data models (Q6617389) (← links)
- BILITE: a Bayesian randomized phase II design for immunotherapy by jointly modeling the longitudinal immune response and time-to-event efficacy (Q6617390) (← links)
- Bayesian enhancement two-stage design with error control for phase II clinical trials (Q6617391) (← links)
- Finite sample variance estimation for optimal dynamic treatment regimes of survival outcomes (Q6617392) (← links)
- Poisson item count techniques with noncompliance (Q6617394) (← links)
- Bayesian adaptive \(N\)-of-1 trials for estimating population and individual treatment effects (Q6617396) (← links)
- Meta-analysis of quantile intervals from different studies with an application to a pulmonary tuberculosis data (Q6617397) (← links)
- A tutorial on dealing with time-varying eligibility for treatment: comparing the risk of major bleeding with direct-acting oral anticoagulant vs warfarin (Q6617399) (← links)
- Assessing consistency in clinical trials with two subgroups and binary endpoints: a new test within the logistic regression model (Q6617402) (← links)
- Two-part models for repeatedly measured ordinal data with ``don't know'' category (Q6617405) (← links)
- Understanding and adjusting for the selection bias from a proof-of-concept study to a more confirmatory study (Q6617406) (← links)
- Genome-wide association study-based deep learning for survival prediction (Q6617408) (← links)
- Comparing Kaplan-Meier curves with the probability of agreement (Q6617409) (← links)
- Extended multi-item gamma Poisson shrinker methods based on the zero-inflated Poisson model for postmarket drug safety surveillance (Q6617411) (← links)
- A simulation-free approach to assessing the performance of the continual reassessment method (Q6617412) (← links)
- Estimating the sample variance from the sample size and range (Q6617413) (← links)
- Modeling daily and weekly moderate and vigorous physical activity using zero-inflated mixture Poisson distribution (Q6617419) (← links)
- Tumor heterogeneity estimation for radiomics in cancer (Q6617421) (← links)
- Survival analysis using a 5-step stratified testing and amalgamation routine (5-STAR) in randomized clinical trials (Q6617423) (← links)
- Bayesian learning of multiple directed networks from observational data (Q6617424) (← links)
- Bayesian estimation of multivariate Gaussian Markov random fields with constraint (Q6617425) (← links)
- Direct estimation of the area under the receiver operating characteristic curve with verification biased data (Q6617426) (← links)
- A pilot design for observational studies: using abundant data thoughtfully (Q6617428) (← links)
- Bayesian decision-theoretic methods for survival data using stochastic optimization (Q6617430) (← links)
- Bayesian inference using Hamiltonian Monte-Carlo algorithm for nonlinear joint modeling in the context of cancer immunotherapy (Q6617433) (← links)
- High-dimensional integrative copula discriminant analysis for multiomics data (Q6617435) (← links)
- Assessing the performance of population adjustment methods for anchored indirect comparisons: a simulation study (Q6617439) (← links)
- Optimal multiwave sampling for regression modeling in two-phase designs (Q6617440) (← links)
- Formulating causal questions and principled statistical answers (Q6617441) (← links)
- Practical strategies for operationalizing optimal allocation in stratified cluster-based outcome-dependent sampling designs (Q6617447) (← links)
- Ratio and difference of average hazard with survival weight: new measures to quantify survival benefit of new therapy (Q6617449) (← links)
- Covariate-specific evaluation of continuous biomarker (Q6617450) (← links)
- Robust causal inference of drug-drug interactions (Q6617452) (← links)
- Modeling the evolution of deaths from infectious diseases with functional data models: the case of COVID-19 in Brazil (Q6617453) (← links)
- Personalized online ensemble machine learning with applications for dynamic data streams (Q6617455) (← links)
- Evaluating the predictive performance of subtyping: a criterion for cluster mean-based prediction (Q6617456) (← links)
- Individual frailty excess hazard models in cancer epidemiology (Q6617457) (← links)
- Propensity score matching after multiple imputation when a confounder has missing data (Q6617459) (← links)
- A novel approach to assess dynamic treatment regimes embedded in a SMART with an ordinal outcome (Q6617460) (← links)
- Multiple assessments of non-inferiority trials with ordinal endpoints (Q6617462) (← links)
- Practical approaches to Bayesian sample size determination in non-inferiority trials with binary outcomes (Q6617468) (← links)
- On assessing survival benefit of immunotherapy using long-term restricted mean survival time (Q6617469) (← links)
