Choice as an alternative to control in observational studies. (With comments and a rejoinder).
From MaRDI portal
Publication:1431170
DOI10.1214/ss/1009212410zbMath1059.62699OpenAlexW1503314699MaRDI QIDQ1431170
Publication date: 27 May 2004
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/ss/1009212410
stability analysissensitivity analysisobservational studiestreatment effectsCausal effectscontrol groupsinternal replicationundelivered doses
Applications of statistics to economics (62P20) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Related Items (8)
Do CRM systems cause one-to-one marketing effectiveness? ⋮ Relaxation penalties and priors for plausible modeling of nonidentified bias sources ⋮ Matching methods for causal inference: a review and a look forward ⋮ Causal inferences from many experiments ⋮ The designed bootstrap for causal inference in big observational data ⋮ Extended sensitivity analysis for heterogeneous unmeasured confounding with an application to sibling studies of returns to education ⋮ A new three-step method for using inverse propensity weighting with latent class analysis ⋮ Nonparametric bounds and sensitivity analysis of treatment effects
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Large Sample Properties of Generalized Method of Moments Estimators
- From association to causation via regression
- Some poset statistics
- Generalized method of moments specification testing
- Addendum to ``A new approach to causal inference in mortality studies with a sustained exposure period. Application to control of the healthy worker survivor effect
- Causation, prediction, and search
- Bayesian inference for causal effects: The role of randomization
- Confounding and collapsibility in causal inference
- Identification problems and decisions under ambiguity: Empirical analysis of treatment response and normative analysis of treatment choice
- Identification of Causal Effects Using Instrumental Variables
- The Probability of Causation under a Stochastic Model for Individual Risk
- Exogeneity
- Sensitivity analysis for certain permutation inferences in matched observational studies
- Causal diagrams for empirical research
- Testing the Quantity-Quality Fertility Model: The Use of Twins as a Natural Experiment
- Estimation of the time-dependent accelerated failure time model in the presence of confounding factors
- The Methodology of Scientific Research Programmes
- Specification Tests in Econometrics
- Hodges-Lehmann Point Estimates of Treatment Effect in Observational Studies
- Bounds on Treatment Effects From Studies With Imperfect Compliance
- Monotone Instrumental Variables: With an Application to the Returns to Schooling
- Practical Implications of Modes of Statistical Inference for Causal Effects and the Critical Role of the Assignment Mechanism
- A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
- The Logic of Inductive Inference
- Social Learning from Private Experiences: The Dynamics of the Selection Problem
- Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
- Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
- Use and Abuse of Regression
- Clinical Trials
- Detecting bias with confidence in observational studies
This page was built for publication: Choice as an alternative to control in observational studies. (With comments and a rejoinder).