The following pages link to Statistics in Medicine (Q57552):
Displaying 50 items.
- A Bayesian method for estimating gene‐level polygenicity under the framework of transcriptome‐wide association study (Q6189843) (← links)
- Kernel Cox partially linear regression: building predictive models for cancer patients' survival (Q6560452) (← links)
- A mixed model approach to estimate the survivor average causal effect in cluster-randomized trials (Q6560456) (← links)
- Principal stratification for quantile causal effects under partial compliance (Q6560457) (← links)
- Cluster randomized trial designs for modeling time-varying intervention effects (Q6560459) (← links)
- Local false discovery rate estimation with competition-based procedures for variable selection (Q6560461) (← links)
- A latent variable mixed-effects location scale model that also considers between-person differences in the autocorrelation (Q6560462) (← links)
- Testing latent classes in gut microbiome data using generalized Poisson regression models (Q6560464) (← links)
- A Bayesian zero-inflated beta-binomial model for longitudinal data with group-specific changepoints (Q6560467) (← links)
- Bayesian compositional generalized linear models for analyzing microbiome data (Q6560469) (← links)
- A frequentist design for basket trials using adaptive lasso (Q6560471) (← links)
- A Bayesian phase II proof-of-concept design for clinical trials with longitudinal endpoints (Q6560473) (← links)
- Modeling the multi-state natural history of rare diseases with heterogeneous individual patient data: a simulation study (Q6560477) (← links)
- A two-step log-linear procedure for graphical representation and inference of associations in cross-classified data for disease diagnosis (Q6560478) (← links)
- A new approach to evaluating loop inconsistency in network meta-analysis (Q6560481) (← links)
- Bayesian record linkage with variables in one file (Q6560482) (← links)
- Classification of longitudinal profiles using semi-parametric nonlinear mixed models with P-splines and the SAEM algorithm (Q6560484) (← links)
- Semiparametric multivariate joint model for skewed-longitudinal and survival data: a Bayesian approach (Q6560485) (← links)
- Bayesian predictive model averaging approach to joint longitudinal-survival modeling: application to an immuno-oncology clinical trial (Q6560489) (← links)
- Using temporal recalibration to improve the calibration of risk prediction models in competing risk settings when there are trends in survival over time (Q6560494) (← links)
- Addressing missing data in the estimation of time-varying treatments in comparative effectiveness research (Q6560497) (← links)
- Inference on tree-structured subgroups with subgroup size and subgroup effect relationship in clinical trials (Q6560500) (← links)
- Sample size requirements for testing treatment effect heterogeneity in cluster randomized trials with binary outcomes (Q6560502) (← links)
- Bayesian hierarchical models incorporating study-level covariates for multivariate meta-analysis of diagnostic tests without a gold standard with application to COVID-19 (Q6560503) (← links)
- Joint modeling the frequency and duration of accelerometer-measured physical activity from a lifestyle intervention trial (Q6560506) (← links)
- On the estimation of interval censored destructive negative binomial cure model (Q6560508) (← links)
- Post-test diagnostic accuracy measures under tree ordering of disease classes (Q6560510) (← links)
- Estimating seroconversion rates accounting for repeated infections by approximate Bayesian computation (Q6560513) (← links)
- Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVID-19 pandemic (Q6560516) (← links)
- A new accuracy metric under three classes when subclasses are involved and its confidence interval estimation (Q6560517) (← links)
- Sample size optimization for clinical trials using graphical approaches for multiplicity adjustment (Q6560518) (← links)
- Joint semiparametric kernel network regression (Q6560519) (← links)
- A Bayesian framework for pathway-guided identification of cancer subgroups by integrating multiple types of genomic data (Q6560524) (← links)
- Minimization in randomized clinical trials (Q6560530) (← links)
- The diagnostic likelihood ratio function and modified test for trend: identifying, evaluating, and validating nontraditional biomarkers in case-control studies (Q6560532) (← links)
- Bayesian adaptive design for covariate-adaptive historical control information borrowing (Q6560534) (← links)
- Ball divergence for the equality test of crossing survival curves (Q6560536) (← links)
- Network and covariate adjusted response-adaptive design for binary response (Q6560539) (← links)
- Semiparametric estimation of restricted mean survival time as a function of restriction time (Q6560540) (← links)
- A longitudinal transition imputation model for categorical data applied to a large registry dataset (Q6560542) (← links)
- Assessable and interpretable sensitivity analysis in the pattern graph framework for nonignorable missingness mechanisms (Q6560545) (← links)
- Calibrating machine learning approaches for probability estimation: a comprehensive comparison (Q6560548) (← links)
- The survival-incorporated median vs the median in the survivors or in the always-survivors: what are we measuring? And why? (Q6560550) (← links)
- Semiparametric normal transformation joint model of multivariate longitudinal and bivariate time-to-event data (Q6560552) (← links)
- Joint clustering multiple longitudinal features: a comparison of methods and software packages with practical guidance (Q6560555) (← links)
- Unsupervised learning for medical data: a review of probabilistic factorization methods (Q6560557) (← links)
- A spatio-temporal Dirichlet process mixture model for coronavirus disease-19 (Q6560559) (← links)
- On semiparametric accelerated failure time models with time-varying covariates: a maximum penalised likelihood estimation (Q6560560) (← links)
- Semiparametric estimation and testing for panel count data with informative interval-censored failure event (Q6560561) (← links)
- Genome-wide search algorithms for identifying dynamic gene co-expression via Bayesian variable selection (Q6560563) (← links)
