The following pages link to Statistics in Medicine (Q57552):
Displaying 50 items.
- Multivariate meta‐analysis for non‐linear and other multi‐parameter associations (Q143492) (← links)
- Group sequential enrichment design incorporating subgroup selection (Q143678) (← links)
- A Bayesian design for phase I cancer therapeutic vaccine trials (Q143754) (← links)
- Fractal and stochastic geometry inference for breast cancer: a case study with random fractal models and Quermass-interaction process (Q144451) (← links)
- Interim monitoring using the adaptively weighted log-rank test in clinical trials for survival outcomes (Q144880) (← links)
- Sensitivity analysis for unobserved confounding of direct and indirect effects using uncertainty intervals (Q144972) (← links)
- Survival analysis using auxiliary variables via non-parametric multiple imputation (Q145688) (← links)
- A scaling approach to record linkage (Q146665) (← links)
- Assessment on homogeneity tests for kappa statistics under equal prevalence across studies in reliability (Q146764) (← links)
- Improving testing and description of treatment effect in clinical trials with survival outcomes (Q147007) (← links)
- AN ASYMPTOTIC TEST FOR THE EQUALITY OF COEFFICIENTS OF VARIATION FROMk POPULATIONS (Q147132) (← links)
- Empirical extensions of the lasso penalty to reduce the false discovery rate in high-dimensional Cox regression models (Q147377) (← links)
- Secondary outcome analysis for data from an outcome-dependent sampling design (Q147586) (← links)
- Objective Bayesian model selection for Cox regression (Q148103) (← links)
- A joint marginal-conditional model for multivariate longitudinal data (Q151027) (← links)
- An approach to meta-analysis of dose-finding studies (Q151167) (← links)
- Dynamic prediction in functional concurrent regression with an application to child growth (Q151446) (← links)
- Direct modeling of regression effects for transition probabilities in the progressive illness-death model (Q151574) (← links)
- Application of the McNemar test to non-independent matched pair data (Q151711) (← links)
- On the comparison of correlated proportions for clustered data (Q151713) (← links)
- Analysis of clustered matched-pair data (Q151718) (← links)
- Sample size determination for longitudinal designs with binary response (Q151742) (← links)
- Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study (Q152028) (← links)
- Weighted win loss approach for analyzing prioritized outcomes (Q152730) (← links)
- A Wald test comparing medical costs based on log-normal distributions with zero valued costs (Q153130) (← links)
- The estimation of calibration equations for variables with heteroscedastic measurement errors (Q153249) (← links)
- AnR2statistic for fixed effects in the linear mixed model (Q153497) (← links)
- Logistic-AFT location-scale mixture regression models with nonsusceptibility for left-truncated and general interval-censored data (Q153538) (← links)
- Comment on ‘Small sample GEE estimation of regression parameters for longitudinal data’ (Q153860) (← links)
- A product of independent beta probabilities dose escalation design for dual‐agent phase I trials (Q153908) (← links)
- Estimating the agreement and diagnostic accuracy of two diagnostic tests when one test is conducted on only a subsample of specimens (Q154810) (← links)
- Visualizing covariates in proportional hazards model (Q156273) (← links)
- A Bayesian stopping rule for a single arm study: With a case study of stem cell transplantation (Q158309) (← links)
- Meta-analysis and aggregation of multiple published prediction models (Q158583) (← links)
- A multiple-model generalisation of updating clinical prediction models (Q158586) (← links)
- Inconsistency identification in network meta-analysis via stochastic search variable selection (Q158820) (← links)
- Group sequential multi‐arm multi‐stage trial design with treatment selection (Q158843) (← links)
- Sensitivity analysis of treatment effect to unmeasured confounding in observational studies with survival and competing risks outcomes (Q159964) (← links)
- Matching on poset‐based average rank for multiple treatments to compare many unbalanced groups (Q5976320) (← links)
- Analysis of small sample size studies using nonparametric bootstrap test with pooled resampling method (Q5976672) (← links)
- Semiparametric Bayesian variable selection for gene‐environment interactions (Q5976695) (← links)
- Patient subgroup identification for clinical drug development (Q5976942) (← links)
- Permutation‐based multiple testing corrections for P$$ P $$‐values and confidence intervals for cluster randomized trials (Q5976951) (← links)
- Flexible evaluation of surrogate markers with Bayesian model averaging (Q5977129) (← links)
- Probabilistic cause‐of‐disease assignment using case‐control diagnostic tests: A latent variable regression approach (Q5977260) (← links)
- An extended mixed‐effects framework for meta‐analysis (Q5977452) (← links)
- L 1 penalized continuation ratio models for ordinal response prediction using high‐dimensional datasets (Q5977514) (← links)
- Utility‐based optimization of phase II/III programs (Q5978234) (← links)
- Baseline and treatment effect heterogeneity for survival times between centers using a random effects accelerated failure time model with flexible error distribution (Q5978827) (← links)
- Sample size calculations with compliance information (Q5979056) (← links)
