The following pages link to Statistics and Its Interface (Q112759):
Displaying 50 items.
- The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method (Q2023346) (← links)
- Discussion on: ``The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method'' (Q2023347) (← links)
- The need to incorporate communities in compartmental models (Q2023348) (← links)
- Rejoinder of: ``The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method'' (Q2023349) (← links)
- A novel intervention recurrent autoencoder for real time forecasting and non-pharmaceutical intervention selection to curb the spread of Covid-19 in the world (Q2023350) (← links)
- A robust nonlinear mixed-effects model for COVID-19 death data (Q2023353) (← links)
- Forecasting confirmed cases of the COVID-19 pandemic with a migration-based epidemiological model (Q2023355) (← links)
- Heterogeneity learning for SIRS model: an application to the COVID-19 (Q2023358) (← links)
- Penalized empirical likelihood for high-dimensional generalized linear models (Q2023360) (← links)
- Spatial regression models for bounded response variables with evaluation of the degree of dependence (Q2023363) (← links)
- Relating parameters in conditional, marginalized, and marginal logistic models when the mediator is binary (Q2023364) (← links)
- Information diffusion with network structures (Q2023367) (← links)
- Lead time distribution for individuals with a screening history (Q2023369) (← links)
- Bayesian zero-inflated growth mixture models with application to health risk behavior data (Q2023372) (← links)
- Estimation and diagnostics for partially linear censored regression models based on heavy-tailed distributions (Q2023374) (← links)
- Estimating equation estimators of quantile differences for one sample with length-biased and right-censored data (Q2023376) (← links)
- A non-marginal variable screening method for the varying coefficient Cox model (Q2023377) (← links)
- Grouped variable selection with prior information via the prior group bridge method (Q2023379) (← links)
- Bayesian confidence intervals for variance of delta-lognormal distribution with an application to rainfall dispersion (Q2023382) (← links)
- Robust regression model for ordinal response (Q2023384) (← links)
- Extracting scalar measures from functional data with applications to placebo response (Q2023386) (← links)
- A test against the stratified additive hazards model (Q2023387) (← links)
- Community detection for statistical citation network by D-SCORE (Q2023390) (← links)
- Residual-based tree for clustered binary data (Q2023394) (← links)
- A model checking method for the additive hazards model with multivariate current status data (Q2023395) (← links)
- Inference in a mixture additive hazards cure model (Q2023397) (← links)
- Generalized Newton-Raphson algorithm for high dimensional LASSO regression (Q2023398) (← links)
- High-dimensional correlation matrix estimation for Gaussian data: a Bayesian perspective (Q2023399) (← links)
- On evidence cycles in network meta-analysis (Q2023476) (← links)
- Bayesian meta-regression model using heavy-tailed random-effects with missing sample sizes for self-thinning meta-data (Q2023477) (← links)
- Statistical methods for quantifying between-study heterogeneity in meta-analysis with focus on rare binary events (Q2023479) (← links)
- Meta-analysis of peptides to detect protein significance (Q2023482) (← links)
- Small-study effects: current practice and challenges for future research (Q2023483) (← links)
- Bayesian flexible hierarchical skew heavy-tailed multivariate meta regression models for individual patient data with applications (Q2023485) (← links)
- Model selection between the fixed-effects model and the random-effects model in meta-analysis (Q2023487) (← links)
- Sample size estimation for future studies using Bayesian multivariate network meta-analysis (Q2023490) (← links)
- Estimating the mean and variance from the five-number summary of a log-normal distribution (Q2023492) (← links)
- A CD-based mapping method for combining multiple related parameters from heterogeneous intervention trials (Q2023494) (← links)
- Estimation and inference for covariate adjusted partially functional linear regression models (Q2073538) (← links)
- Multi-drug combination designs with experiments in silico (Q2073540) (← links)
- A residual-based approach for robust random forest regression (Q2073541) (← links)
- Online multiple learning with working sufficient statistics for generalized linear models in big data (Q2073542) (← links)
- Feature screening via Bergsma-Dassios sign correlation learning (Q2073544) (← links)
- Group variable selection for recurrent event model with a diverging number of covariates (Q2073546) (← links)
- Regularized multiple mediation analysis (Q2073548) (← links)
- Prior conditioned on scale parameter for Bayesian quantile LASSO and its generalizations (Q2073550) (← links)
- Constrained estimation in Cox model under failure-time outcome-dependent sampling design (Q2073552) (← links)
- Demystify Lindley's paradox by connecting \(p\)-value and posterior probability (Q2073553) (← links)
- Sparsity-restricted estimation for the accelerated failure time model (Q2073554) (← links)
- Bayesian estimation for a mortality model via the aging process (Q2073557) (← links)
