相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Estimation of causal effects of binary treatments in unconfounded studies with one continuous covariate
R. Gutman et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2017)
The performance of inverse probability of treatment weighting and full matching on the propensity score in the presence of model misspecification when estimating the effect of treatment on survival outcomes
Peter C. Austin et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2017)
Double propensity-score adjustment: A solution to design bias or bias due to incomplete matching
Peter C. Austin
STATISTICAL METHODS IN MEDICAL RESEARCH (2017)
MatchIt: Nonparametric Preprocessing for Parametric Causal Inference
Daniel E. Ho et al.
Journal of Statistical Software (2015)
A comparison of 12 algorithms for matching on the propensity score
Peter C. Austin
STATISTICS IN MEDICINE (2014)
The use of bootstrapping when using propensity-score matching without replacement: a simulation study
Peter C. Austin et al.
STATISTICS IN MEDICINE (2014)
Robust estimation of causal effects of binary treatments in unconfounded studies with dichotomous outcomes
R. Gutman et al.
STATISTICS IN MEDICINE (2013)
Mortality Following Nursing Home-Acquired Lower Respiratory Infection: LRI Severity, Antibiotic Treatment, and Water Intake
Kristina L. Szafara et al.
JOURNAL OF THE AMERICAN MEDICAL DIRECTORS ASSOCIATION (2012)
Using Ensemble-Based Methods for Directly Estimating Causal Effects: An Investigation of Tree-Based G-Computation
Peter C. Austin
MULTIVARIATE BEHAVIORAL RESEARCH (2012)
The value of health interventions: evaluating asthma case management using matching
Sylvia Brandt et al.
APPLIED ECONOMICS (2012)
A Tutorial and Case Study in Propensity Score Analysis: An Application to Estimating the Effect of In-Hospital Smoking Cessation Counseling on Mortality
Peter C. Austin
MULTIVARIATE BEHAVIORAL RESEARCH (2011)
An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies
Peter C. Austin
MULTIVARIATE BEHAVIORAL RESEARCH (2011)
Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies
Peter C. Austin
PHARMACEUTICAL STATISTICS (2011)
A substantial and confusing variation exists in handling of baseline covariates in randomized controlled trials: a review of trials published in leading medical journals
Peter C. Austin et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2010)
Matching Methods for Causal Inference: A Review and a Look Forward
Elizabeth A. Stuart
STATISTICAL SCIENCE (2010)
The performance of different propensity-score methods for estimating differences in proportions (risk differences or absolute risk reductions) in observational studies
Peter C. Austin
STATISTICS IN MEDICINE (2010)
Type I Error Rates, Coverage of Confidence Intervals, and Variance Estimation in Propensity-Score Matched Analyses
Peter C. Austin
INTERNATIONAL JOURNAL OF BIOSTATISTICS (2009)
Effectiveness of Public Report Cards for Improving the Quality of Cardiac Care The EFFECT Study: A Randomized Trial
Jack V. Tu et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2009)
On the Failure of the Bootstrap for Matching Estimators
Alberto Abadie et al.
ECONOMETRICA (2008)
The performance of different propensity-score methods for estimating relative risks
Peter C. Austin
JOURNAL OF CLINICAL EPIDEMIOLOGY (2008)
A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003
Peter C. Austin
STATISTICS IN MEDICINE (2008)
The performance of different propensity score methods for estimating marginal odds ratios
Peter C. Austin
STATISTICS IN MEDICINE (2007)
Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: A Monte Carlo study (p n/a)
Peter C. Austin et al.
STATISTICS IN MEDICINE (2007)
Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference
Daniel E. Ho et al.
POLITICAL ANALYSIS (2007)
Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: A Monte Carlo study
Peter C. Austin et al.
STATISTICS IN MEDICINE (2007)
The design versus the analysis of observational studies for causal effects:: Parallels with the design of randomized trials
Donald B. Rubin
STATISTICS IN MEDICINE (2007)
Optimal full matching and related designs via network flows
Ben B. Hansen et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2006)
Reader's guide to critical appraisal of cohort studies: 2. Assessing potential for confounding
M Mamdani et al.
BMJ-BRITISH MEDICAL JOURNAL (2005)
Nonparametric estimation of average treatment effects under exogeneity: A review
GW Imbens
REVIEW OF ECONOMICS AND STATISTICS (2004)
Full matching in an observational study of coaching for the SAT
BB Hansen
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2004)
Model selection, confounder control, and marginal structural models: Review and new applications
MM Joffe et al.
AMERICAN STATISTICIAN (2004)
Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study
JK Lunceford et al.
STATISTICS IN MEDICINE (2004)
Substantial gains in bias reduction from matching with a variable number of controls
KW Ming et al.
BIOMETRICS (2000)