Comparison of propensity score methods for pre-specified subgroup analysis with survival data
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Comparison of propensity score methods for pre-specified subgroup analysis with survival data
Authors
Keywords
-
Journal
Journal of Biopharmaceutical Statistics
Volume -, Issue -, Pages 1-18
Publisher
Informa UK Limited
Online
2020-03-20
DOI
10.1080/10543406.2020.1730868
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Relative Performance of Propensity Score Matching Strategies for Subgroup Analyses
- (2018) Shirley V Wang et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- Prospective surveillance pilot of rivaroxaban safety within the US Food and Drug Administration Sentinel System
- (2018) Elizabeth A. Chrischilles et al. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
- Evaluating different strategies for estimating treatment effects in observational studies
- (2017) Anthony J. Zagar et al. Journal of Biopharmaceutical Statistics
- Balancing Covariates via Propensity Score Weighting
- (2017) Fan Li et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Unknown
- (2017) PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
- Unknown
- (2017) PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
- Unknown
- (2017) STATISTICS IN MEDICINE
- Stroke, Bleeding, and Mortality Risks in Elderly Medicare Beneficiaries Treated With Dabigatran or Rivaroxaban for Nonvalvular Atrial Fibrillation
- (2016) David J. Graham et al. JAMA Internal Medicine
- Unknown
- (2016) PHARMACEUTICAL STATISTICS
- 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
- (2015) Peter C Austin et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies
- (2015) Peter C. Austin et al. STATISTICS IN MEDICINE
- Plasmode simulation for the evaluation of pharmacoepidemiologic methods in complex healthcare databases
- (2013) Jessica M. Franklin et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Simulating biologically plausible complex survival data
- (2013) Michael J. Crowther et al. STATISTICS IN MEDICINE
- The use of propensity score methods with survival or time-to-event outcomes: reporting measures of effect similar to those used in randomized experiments
- (2013) Peter C. Austin STATISTICS IN MEDICINE
- Evaluating treatment effectiveness in patient subgroups: a comparison of propensity score methods with an automated matching approach
- (2012) Rosalba Radice et al.
- The performance of different propensity score methods for estimating marginal hazard ratios
- (2012) Peter C. Austin STATISTICS IN MEDICINE
- Matching Methods for Causal Inference: A Review and a Look Forward
- (2010) Elizabeth A. Stuart STATISTICAL SCIENCE
- Observational Studies Analyzed Like Randomized Experiments
- (2008) Miguel A. Hernán et al. EPIDEMIOLOGY
- More on Subgroup Analyses in Clinical Trials
- (2008) NEW ENGLAND JOURNAL OF MEDICINE
- Subgroup Analyses in Clinical Trials
- (2008) NEW ENGLAND JOURNAL OF MEDICINE
- Developing practical recommendations for the use of propensity scores: Discussion of ‘A critical appraisal of propensity score matching in the medical literature between 1996 and 2003’ by Peter Austin,Statistics in Medicine
- (2008) Elizabeth A. Stuart STATISTICS IN MEDICINE
- A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003
- (2007) Peter C. Austin STATISTICS IN MEDICINE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started