The following pages link to Design of observational studies (Q5902290):
Displaying 50 items.
- DOS (Q52019) (← links)
- Using Approximation Algorithms to Build Evidence Factors and Related Designs for Observational Studies (Q139209) (← links)
- Uncertainty intervals for regression parameters with non-ignorable missingness in the outcome (Q142725) (← links)
- Instrumental variables: an econometrician's perspective (Q252714) (← links)
- Generalized quantile treatment effect: a flexible Bayesian approach using quantile ratio smoothing (Q273618) (← links)
- Full matching approach to instrumental variables estimation with application to the effect of malaria on stunting (Q288596) (← links)
- How strong is strong enough? Strengthening instruments through matching and weak instrument tests (Q312976) (← links)
- When is a sensitivity parameter exactly that? (Q667684) (← links)
- Wavelet-domain regression and predictive inference in psychiatric neuroimaging (Q746704) (← links)
- Using statistical methods to model the fine-tuning of molecular machines and systems (Q827877) (← links)
- Subgroup causal effect identification and estimation via matching tree (Q830100) (← links)
- Some models and methods for the analysis of observational data (Q888234) (← links)
- Construction of alternative hypotheses for randomization tests with ordinal outcomes (Q900972) (← links)
- Matching methods for causal inference: a review and a look forward (Q903298) (← links)
- False discovery rate control for effect modification in observational studies (Q1616308) (← links)
- Optimal multilevel matching using network flows: an application to a summer reading intervention (Q1620991) (← links)
- Instrumental variable estimation with a stochastic monotonicity assumption (Q1704705) (← links)
- Rank tests in unmatched clustered randomized trials applied to a study of teacher training (Q1728640) (← links)
- Split-door criterion: identification of causal effects through auxiliary outcomes (Q1728679) (← links)
- Causal inference: a missing data perspective (Q1799347) (← links)
- Stronger instruments via integer programming in an observational study of late preterm birth outcomes (Q1951518) (← links)
- Agnostic notes on regression adjustments to experimental data: reexamining Freedman's critique (Q1951533) (← links)
- Predicting overall vaccine efficacy in a new setting by re-calibrating baseline covariate and intermediate response endpoint effect modifiers of type-specific vaccine efficacy (Q2001894) (← links)
- Learning causal effect using machine learning with application to China's typhoon (Q2023742) (← links)
- Polymatching algorithm in observational studies with multiple treatment groups (Q2072399) (← links)
- Causal inference for the effect of mobility on Covid-19 deaths (Q2080760) (← links)
- Testing for differential abundance in compositional counts data, with application to microbiome studies (Q2080778) (← links)
- Dimensions, power and factors in an observational study of behavioral problems after physical abuse of children (Q2080788) (← links)
- Sensitivity analysis for unobserved confounding in causal mediation analysis allowing for effect modification, censoring and truncation (Q2082480) (← links)
- Bounds on the conditional and average treatment effect with unobserved confounding factors (Q2105186) (← links)
- Rerandomization with diminishing covariate imbalance and diverging number of covariates (Q2112822) (← links)
- Evidence factors from multiple, possibly invalid, instrumental variables (Q2148972) (← links)
- Detecting heterogeneous treatment effects with instrumental variables and application to the Oregon Health Insurance Experiment (Q2154220) (← links)
- Can \(p\)-values be meaningfully interpreted without random sampling? (Q2191897) (← links)
- Regression analysis of unmeasured confounding (Q2197498) (← links)
- Matching methods for observational studies derived from large administrative databases (Q2218053) (← links)
- Covariate-adjusted Fisher randomization tests for the average treatment effect (Q2236896) (← links)
- On the value of subscription models for online grocery retail (Q2240028) (← links)
- Isolation in the construction of natural experiments (Q2258562) (← links)
- An alternative sensitivity approach for longitudinal analysis with dropout (Q2272849) (← links)
- The classification permutation test: a flexible approach to testing for covariate imbalance in observational studies (Q2281195) (← links)
- Extended sensitivity analysis for heterogeneous unmeasured confounding with an application to sibling studies of returns to education (Q2318655) (← links)
- An instrumental variables design for the effect of emergency general surgery (Q2325005) (← links)
- An exact adaptive test with superior design sensitivity in an observational study of treatments for ovarian cancer (Q2428737) (← 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)
- Social distancing and COVID-19: randomization inference for a structured dose-response relationship (Q2686015) (← links)
- Statistical matching and subclassification with a continuous dose: characterization, algorithm, and application to a health outcomes study (Q2686045) (← links)
- Optimal matching with minimal deviation from fine balance in a study of obesity and surgical outcomes (Q2912364) (← links)
- A New u-Statistic with Superior Design Sensitivity in Matched Observational Studies (Q3100807) (← links)
- Using the potential outcome framework to estimate optimal sample size for cluster randomized trials: a simulation-based algorithm (Q3390338) (← links)
