The following pages link to Statistics in Medicine (Q57552):
Displaying 50 items.
- Matched or unmatched analyses with propensity-score-matched data? (Q6625552) (← links)
- Assessment of effect size and power for survival analysis through a binary surrogate endpoint in clinical trials (Q6625555) (← links)
- Doubly robust estimation of the weighted average treatment effect for a target population (Q6625556) (← links)
- Meta-analysis of non-linear exposure-outcome relationships using individual participant data: a comparison of two methods (Q6625558) (← links)
- Estimating heterogeneous treatment effects for latent subgroups in observational studies (Q6625560) (← links)
- Can a multiple ascending dose study serve as an informative proof-of-concept study? (Q6625561) (← links)
- Optimal sample size planning for the Wilcoxon-Mann-Whitney test (Q6625562) (← links)
- Automatic detection of significant areas for functional data with directional error control (Q6625563) (← links)
- Multiple mediation analysis with survival outcomes: with an application to explore racial disparity in breast cancer survival (Q6625565) (← links)
- Mixed binary-continuous copula regression models with application to adverse birth outcomes (Q6625567) (← links)
- Estimating the receiver operating characteristic curve in matched case control studies (Q6625571) (← links)
- Constrained empirical-likelihood confidence regions in nonignorable covariate-missing data problems (Q6625573) (← links)
- Copula selection models for non-Gaussian outcomes that are missing not at random (Q6625575) (← links)
- Comments on ``Net reclassification index at event rate: properties and relationships'' (Q6625577) (← links)
- Single-number summary and decision analytic measures can happily coexist (Q6625578) (← links)
- Machine learning methods for leveraging baseline covariate information to improve the efficiency of clinical trials (Q6625579) (← links)
- A monotone data augmentation algorithm for multivariate nonnormal data: with applications to controlled imputations for longitudinal trials (Q6625580) (← links)
- Assessing health care interventions via an interrupted time series model: study power and design considerations (Q6625582) (← links)
- Predictive probability of success using surrogate endpoints (Q6625585) (← links)
- Two-stage residual inclusion for survival data and competing risks -- an instrumental variable approach with application to SEER-medicare linked data (Q6625586) (← links)
- A joint model for dynamic prediction in uveitis (Q6625590) (← links)
- Relative efficiencies of two-stage sampling schemes for mean estimation in multilevel populations when cluster size is informative (Q6625591) (← links)
- Weighted causal inference methods with mismeasured covariates and misclassified outcomes (Q6625592) (← links)
- Estimating the association between blood pressure variability and cardiovascular disease: an application using the ARIC study (Q6625596) (← links)
- Modeling the spatial variability in the spread and correlation of childhood malnutrition in Nigeria (Q6625597) (← links)
- Optimal probability weights for estimating causal effects of time-varying treatments with marginal structural Cox models (Q6625600) (← links)
- Statistical methods for building better biomarkers of chronic kidney disease (Q6625608) (← links)
- Accounting for a decaying correlation structure in cluster randomized trials with continuous recruitment (Q6625609) (← links)
- A new approach for sizing trials with composite binary endpoints using anticipated marginal values and accounting for the correlation between components (Q6625610) (← links)
- Evaluating center-specific long-term outcomes through differences in mean survival time: analysis of national kidney transplant data (Q6625612) (← links)
- Combining biomarker trajectories to improve diagnostic accuracy in prospective cohort studies with verification bias (Q6625613) (← links)
- Estimating seasonal onsets and peaks of bronchiolitis with spatially and temporally uncertain data (Q6625616) (← links)
- Classification using ensemble learning under weighted misclassification loss (Q6625617) (← links)
- The use of prognostic scores for causal inference with general treatment regimes (Q6625618) (← links)
- Estimation of the distribution of longitudinal biomarker trajectories prior to disease progression (Q6625620) (← links)
- A modified CUSUM test to control postoutbreak false alarms (Q6625621) (← links)
- Robust regression for optimal individualized treatment rules (Q6625622) (← links)
- Using simulation studies to evaluate statistical methods (Q6625623) (← links)
- Analysis of combined incident and prevalent cohort data under a proportional mean residual life model (Q6625624) (← links)
- A sequential density-based empirical likelihood ratio test for treatment effects (Q6625626) (← links)
- Alpha spending for historical versus surveillance Poisson data with CMaxSPRT (Q6625629) (← links)
- Extreme learning machine Cox model for high-dimensional survival analysis (Q6625631) (← links)
- A self-excited threshold autoregressive state-space model for menstrual cycles: forecasting menstruation and identifying within-cycle stages based on basal body temperature (Q6625635) (← links)
- Partitioned GMM logistic regression models for longitudinal data (Q6625637) (← links)
- High-dimensional longitudinal classification with the multinomial fused Lasso (Q6625640) (← links)
- Risk-adjusted CUSUM charts under model error (Q6625641) (← links)
- Semiparametric probit model for informative current status data (Q6625642) (← links)
- Bayesian variable selection based on clinical relevance weights in small sample studies -- application to colon cancer (Q6625644) (← links)
- The mixed model for the analysis of a repeated-measurement multivariate count data (Q6625647) (← links)
- Joint models for longitudinal and time-to-event data in a case-cohort design (Q6625649) (← links)
