Pages that link to "Item:Q3129031"
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The following pages link to Identification of Causal Effects Using Instrumental Variables (Q3129031):
Displaying 50 items.
- For objective causal inference, design trumps analysis (Q958314) (← links)
- Comparing principal stratification and selection models in parametric causal inference with nonignorable missingness (Q961144) (← links)
- Interval estimation of odds ratio in a stratified randomized clinical trial with noncompliance (Q961707) (← links)
- Estimating the principal stratum direct effect when the total effects are consistent between two standard populations (Q973175) (← links)
- Causal inference in statistics: an overview (Q975575) (← links)
- Sample size calculation for non-compliance randomized trials with repeated measurements in binary data (Q1020021) (← links)
- Notes on interval estimation of risk difference in stratified noncompliance randomized trials: a Monte Carlo evaluation (Q1023755) (← links)
- Notes on estimation of proportion ratio under a non-compliance randomized trial with missing outcomes (Q1023776) (← links)
- Testing homogeneity of risk difference in stratified randomized trials with noncompliance (Q1023944) (← links)
- The marginal cost-effectiveness of medical technology: A panel instrumental-variables approach (Q1361996) (← links)
- Clinician preferences and the estimation of causal treatment differences. (With comments) (Q1400099) (← links)
- From association to causation: Some remarks on the history of statistics. (Q1431169) (← links)
- Choice as an alternative to control in observational studies. (With comments and a rejoinder). (Q1431170) (← links)
- Bayesian analysis of cross-section and clustered data treatment models (Q1580338) (← links)
- Using missing types to improve partial identification with application to a study of HIV prevalence in Malawi (Q1621036) (← links)
- LOL selection in high dimension (Q1621355) (← links)
- Posterior predictive \(p\)-values with Fisher randomization tests in noncompliance settings: test statistics vs discrepancy measures (Q1631569) (← links)
- Causal mediation analysis for survival outcome with unobserved mediator-outcome confounders (Q1660220) (← links)
- Difference-in-differences techniques for spatial data: local autocorrelation and spatial interaction (Q1667951) (← links)
- Linear model IV estimation when instruments are many or weak (Q1669818) (← links)
- Proxy variables and nonparametric identification of causal effects (Q1672778) (← links)
- Instrumental variable estimation with a stochastic monotonicity assumption (Q1704705) (← links)
- Instrumental variable analysis with censored data in the presence of many weak instruments: application to the effect of being sentenced to prison on time to employment (Q1728677) (← links)
- Split-door criterion: identification of causal effects through auxiliary outcomes (Q1728679) (← links)
- A note about the identifiability of causal effect estimates in randomized trials with non-compliance (Q1731159) (← links)
- Testing the validity of the compulsory schooling law instrument (Q1782378) (← links)
- Causal inference: a missing data perspective (Q1799347) (← links)
- Semiparametric Bayes analysis of longitudinal data treatment models (Q1858961) (← links)
- Healthy, wealthy, and wise? Tests for direct causal paths between health and socioeconomic status. (With commentaries and responses) (Q1867750) (← links)
- Semiparametric instrumental variable estimation of treatment response models. (Q1869857) (← links)
- Statistics and causal inference: A review. (With discussion) (Q1875689) (← links)
- Stronger instruments via integer programming in an observational study of late preterm birth outcomes (Q1951518) (← links)
- Increasing the power of specification tests (Q2000857) (← links)
- The isotonic regression approach for an instrumental variable estimation of the potential outcome distributions for compliers (Q2002724) (← links)
- Heterogeneous endogeneity (Q2066528) (← links)
- Instrumental variable estimation of early treatment effect in randomized screening trials (Q2074076) (← links)
- The GENIUS approach to robust Mendelian randomization inference (Q2075701) (← links)
- Identification of causal effects within principal strata using auxiliary variables (Q2075703) (← links)
- Robust causal inference for incremental return on ad spend with randomized paired geo experiments (Q2135326) (← links)
- Bounding the local average treatment effect in an instrumental variable analysis of engagement with a mobile intervention (Q2135335) (← links)
- Evidence factors from multiple, possibly invalid, instrumental variables (Q2148972) (← links)
- Distributional anchor regression (Q2152546) (← links)
- Detecting heterogeneous treatment effects with instrumental variables and application to the Oregon Health Insurance Experiment (Q2154220) (← links)
- High-dimensional causal mediation analysis based on partial linear structural equation models (Q2157518) (← links)
- Identification of the outcome distribution and sensitivity analysis under weak confounder-instrument interaction (Q2170243) (← links)
- Estimating mode effects from a sequential mixed-mode experiment using structural moment models (Q2170411) (← links)
- Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach (Q2170451) (← links)
- Rejoinder on: ``Hierarchical inference for genome-wide association studies: a view on methodology with software'' (Q2184393) (← links)
- Some recent developments in modeling quantile treatment effects (Q2194707) (← links)
- Sharp instruments for classifying compliers and generalizing causal effects (Q2215722) (← links)