The following pages link to Statistics in Medicine (Q57552):
Displaying 50 items.
- Sample size calculations for ordered categorical data (Q5979057) (← links)
- Sample size formula for a win ratio endpoint (Q5979232) (← links)
- Sample size considerations for micro‐randomized trials with binary proximal outcomes (Q5979326) (← links)
- Predicting accrual in clinical trials with Bayesian posterior predictive distributions (Q5979618) (← links)
- Modeling and validating Bayesian accrual models on clinical data and simulations using adaptive priors (Q5979619) (← links)
- Minimum sample size for external validation of a clinical prediction model with a continuous outcome (Q5980005) (← links)
- Minimum sample size for external validation of a clinical prediction model with a binary outcome (Q5980006) (← links)
- Rank intraclass correlation for clustered data (Q5980079) (← links)
- Randomization inference for treatment effects on a binary outcome (Q5980170) (← links)
- A longitudinal transition imputation model for categorical data applied to a large registry dataset (Q5981281) (← links)
- How vague is vague? How informative is informative? Reference analysis for Bayesian meta‐analysis (Q5981297) (← links)
- Confidence intervals for a binomial proportion (Q5981599) (← links)
- Optimal planning of adaptive two‐stage designs (Q5981703) (← links)
- The Integrated Calibration Index (ICI) and related metrics for quantifying the calibration of logistic regression models (Q5982341) (← links)
- Graphical calibration curves and the integrated calibration index (ICI) for survival models (Q5982342) (← links)
- Gaussian variational approximate inference for joint models of longitudinal biomarkers and a survival outcome (Q5982516) (← links)
- A MEASURE OF ASSOCIATION FOR ASSESSING PREDICTION ACCURACY THAT IS A GENERALIZATION OF NON-PARAMETRIC ROC AREA (Q5983493) (← links)
- Assessing potentially time‐dependent treatment effect from clinical trials and observational studies for survival data, with applications to the Women's Health Initiative combined hormone therapy trial (Q5983755) (← links)
- Risk ratio and rate ratio estimation in case‐cohort designs: Hypertension and cardiovascular mortality (Q5984370) (← links)
- Unified semicompeting risks analysis of hepatitis natural history through mediation modeling (Q6149269) (← links)
- Estimation of conditional power in the presence of auxiliary data (Q6149270) (← links)
- Rank intraclass correlation for clustered data (Q6149272) (← links)
- Instrumental variable analysis for cost outcome: Application to the effect of primary care visit on medical cost among low‐income adults (Q6149273) (← links)
- Simple Bayesian models for missing binary outcomes in randomized controlled trials (Q6149274) (← links)
- A comparison of Bayesian information borrowing methods in basket trials and a novel proposal of modified exchangeability‐nonexchangeability method (Q6149277) (← links)
- Federated causal inference in heterogeneous observational data (Q6149278) (← links)
- Semiparametric probit regression model with misclassified current status data (Q6149280) (← links)
- Forecasting emergency department waiting time using a state space representation (Q6149284) (← links)
- A guide to regression discontinuity designs in medical applications (Q6149285) (← links)
- Measuring the performance of prediction models to personalize treatment choice: Defining observed and predicted pairwise treatment effects (Q6149289) (← links)
- Bayesian design and analysis of two‐arm cluster randomized trials using assurance (Q6149290) (← links)
- Confidence intervals for the Cox model test error from cross‐validation (Q6149292) (← links)
- Estimation of the time of exposure based on interval and censored data using the <i>ε</i>‐accelerated EM algorithm (Q6149296) (← links)
- Shrinkage estimators of the spatial relative risk function (Q6149297) (← links)
- Maximum approximate likelihood estimation in accelerated failure time model for interval‐censored data (Q6149317) (← links)
- Clustering of trajectories with mixed effects classification model: Inference taking into account classification uncertainties (Q6189818) (← links)
- Selection of a statistical analysis method for the Glasgow Outcome Scale‐Extended endpoint for estimating the probability of favorable outcome in future severe <scp>TBI</scp> clinical trials (Q6189819) (← links)
- Approximate likelihood and pseudo‐likelihood inference in meta‐analysis of diagnostic accuracy studies accounting for disease prevalence and study design (Q6189820) (← links)
- A threshold longitudinal Tobit quantile regression model for identification of treatment‐sensitive subgroups based on interval‐bounded longitudinal measurements and a continuous covariate (Q6189821) (← links)
- A flexible quasi‐likelihood model for microbiome abundance count data (Q6189822) (← links)
- Change point detection for high dimensional data via kernel measure with application to human aging brain data (Q6189823) (← links)
- Detection of sparse differential dependent functional brain connectivity (Q6189826) (← links)
- Subgroup analysis using Bernoulli‐gated hierarchical mixtures of experts models (Q6189827) (← links)
- Comparison of combination methods to create calibrated ensemble forecasts for seasonal influenza in the U.S. (Q6189831) (← links)
- Correcting prevalence estimation for biased sampling with testing errors (Q6189832) (← links)
- Handling missing within‐study correlations in the evaluation of surrogate endpoints (Q6189835) (← links)
- Analysis of secondary failure time responses in studies with response‐dependent sampling schemes (Q6189836) (← links)
- A latent functional approach for modeling the effects of multidimensional exposures on disease risk (Q6189838) (← links)
- A Bayesian multistage spatio‐temporally dependent model for spatial clustering and variable selection (Q6189840) (← links)
- Frequentist analysis of basket trials with one‐sample Mantel‐Haenszel procedures (Q6189841) (← links)
