Pages that link to "Item:Q3048083"

The following pages link to Using Multivariate Matched Sampling and Regression Adjustment to Control Bias in Observational Studies (Q3048083):

Displaying 50 items.

• Practical propensity score matching: a reply to Smith and Todd (Q262740) (← links)
• Kernel canonical correlation analysis for data combination of multiple-source datasets (Q830268) (← links)
• Matching methods for causal inference: a review and a look forward (Q903298) (← links)
• For objective causal inference, design trumps analysis (Q958314) (← links)
• The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation (Q1658377) (← links)
• Estimation of causal effects with multiple treatments: a review and new ideas (Q1750257) (← links)
• Measuring model misspecification: application to propensity score methods with complex survey data (Q1796929) (← links)
• Causal inference: a missing data perspective (Q1799347) (← links)
• The designed bootstrap for causal inference in big observational data (Q2063871) (← links)
• Sufficient dimension reduction for average causal effect estimation (Q2147407) (← links)
• Evidence factors from multiple, possibly invalid, instrumental variables (Q2148972) (← links)
• Estimating causal effects with optimization-based methods: a review and empirical comparison (Q2171584) (← links)
• Matching methods for observational studies derived from large administrative databases (Q2218053) (← links)
• A multiple imputation procedure for record linkage and causal inference to estimate the effects of home-delivered meals (Q2233186) (← links)
• Can matching improve the performance of boosting for identifying important genes in observational studies? (Q2255762) (← links)
• Causal inferences with group based trajectory models (Q2260048) (← links)
• Statistical analysis and evaluation of macroeconomic policies: a selective review (Q2307816) (← links)
• An exact adaptive test with superior design sensitivity in an observational study of treatments for ovarian cancer (Q2428737) (← links)
• The performance of estimators based on the propensity score (Q2440330) (← links)
• Matching for balance, pairing for heterogeneity in an observational study of the effectiveness of for-profit and not-for-profit high schools in Chile (Q2453664) (← links)
• A note on endogenous control variables in causal studies (Q2476829) (← links)
• Complex discontinuity designs using covariates: impact of school grade retention on later life outcomes in Chile (Q2686018) (← links)
• Statistical matching and subclassification with a continuous dose: characterization, algorithm, and application to a health outcomes study (Q2686045) (← links)
• Simultaneous Variable and Covariance Selection With the Multivariate Spike-and-Slab LASSO (Q3391213) (← links)
• The Power of Optimization Over Randomization in Designing Experiments Involving Small Samples (Q3465589) (← links)
• Resampling-Based Multiple Testing Methods with Covariate Adjustment: Application to Investigation of Antiretroviral Drug Susceptibility (Q3506474) (← links)
• Balancing Covariates via Propensity Score Weighting (Q4690966) (← links)
• A Computational Framework for Solving Nonlinear Binary Optimization Problems in Robust Causal Inference (Q5060782) (← links)
• Comparing different propensity score estimation methods for estimating the marginal causal effect through standardization to propensity scores (Q5084764) (← links)
• Matching on‐the‐fly: Sequential allocation with higher power and efficiency (Q5170207) (← links)
• Application of the Principal Stratification Approach to the Faenza Randomized Experiment on Breast Self‐Examination (Q5459587) (← links)
• Did the Military Interventions in the Mexican Drug War Increase Violence? (Q5885345) (← links)
• Comment: ``The essential role of pair matching in cluster-randomized experiments, with application to the Mexican Universal Health Insurance evaluation'' (Q5966327) (← links)
• Evaluating and improving a matched comparison of antidepressants and bone density (Q6055479) (← links)
• Causal inference: Critical developments, past and future (Q6059423) (← links)
• Better experimental design by hybridizing binary matching with imbalance optimization (Q6059445) (← links)
• Large Sample Properties of Matching for Balance (Q6092946) (← links)
• Testing Biased Randomization Assumptions and Quantifying Imperfect Matching and Residual Confounding in Matched Observational Studies (Q6094081) (← links)
• PCA rerandomization (Q6490384) (← links)
• The role of pairwise matching in experimental design for an incidence outcome (Q6491772) (← links)
• Matching algorithms for causal inference with multiple treatments (Q6624680) (← links)
• Matched or unmatched analyses with propensity-score-matched data? (Q6625552) (← links)
• Estimating heterogeneous treatment effects for latent subgroups in observational studies (Q6625560) (← links)
• The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators (Q6626294) (← links)
• A novel approach for propensity score matching and stratification for multiple treatments: application to an electronic health record-derived study (Q6627427) (← links)
• \(k\)-resolution sequential randomization procedure to improve covariates balance in a randomized experiment (Q6628243) (← links)
• Estimating adjusted risk differences by multiply-imputing missing control binary potential outcomes following propensity score-matching (Q6628246) (← links)
• Protocols for observational studies: methods and open problems (Q6649128) (← links)
• Generalizing the Intention-to-Treat Effect of an Active Control from Historical Placebo-Controlled Trials: A Case Study of the Efficacy of Daily Oral TDF/FTC in the HPTN 084 Study (Q6651352) (← links)
• Early effects of 2014 U.S. Medicaid expansions on mortality: design-based inference for impacts on small subgroups despite small-cell suppression (Q6665473) (← links)