Cargando…

The use of bootstrapping when using propensity-score matching without replacement: a simulation study

Propensity-score matching is frequently used to estimate the effect of treatments, exposures, and interventions when using observational data. An important issue when using propensity-score matching is how to estimate the standard error of the estimated treatment effect. Accurate variance estimation...

Descripción completa

Detalles Bibliográficos
Autores principales:	Austin, Peter C, Small, Dylan S
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BlackWell Publishing Ltd 2014
Materias:	Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260115/ https://www.ncbi.nlm.nih.gov/pubmed/25087884 http://dx.doi.org/10.1002/sim.6276

Ejemplares similares

Bootstrap vs asymptotic variance estimation when using propensity score weighting with continuous and binary outcomes
por: Austin, Peter C.
Publicado: (2022)

Variance estimation when using propensity‐score matching with replacement with survival or time‐to‐event outcomes
por: Austin, Peter C., et al.
Publicado: (2020)

Propensity score interval matching: using bootstrap confidence intervals for accommodating estimation errors of propensity scores
por: Pan, Wei, et al.
Publicado: (2015)

Nearest Neighbour Propensity Score Matching and Bootstrapping for Estimating Binary Patient Response in Oncology: A Monte Carlo Simulation
por: Geldof, Tine, et al.
Publicado: (2020)

Propensity score stratification using bootstrap aggregating classification trees analysis
por: Otok, Bambang Widjanarko, et al.
Publicado: (2020)

Statistical Criteria for Selecting the Optimal Number of Untreated Subjects Matched to Each Treated Subject When Using Many-to-One Matching on the Propensity Score
por: Austin, Peter C.
Publicado: (2010)

Propensity score matching and complex surveys
por: Austin, Peter C, et al.
Publicado: (2016)

Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies
por: Austin, Peter C
Publicado: (2011)

Estimating the effect of treatment on binary outcomes using full matching on the propensity score
por: Austin, Peter C, et al.
Publicado: (2015)

A comparison of 12 algorithms for matching on the propensity score
por: Austin, Peter C
Publicado: (2014)

Assessing covariate balance when using the generalized propensity score with quantitative or continuous exposures
por: Austin, Peter C
Publicado: (2018)

When does bootstrap work?: asymptotic results and simulations
por: Mammen, Enno
Publicado: (1992)

Propensity‐score matching with competing risks in survival analysis
por: Austin, Peter C., et al.
Publicado: (2018)

Evaluating the Effect of Appropriate Complementary Feeding Practices on Child Growth in Malawi Using Cross-Sectional Data: An Application of Propensity Score Matching
por: Twabi, Halima S., et al.
Publicado: (2021)

The effect of a constraint on the maximum number of controls matched to each treated subject on the performance of full matching on the propensity score when estimating risk differences
por: Austin, Peter C., et al.
Publicado: (2020)

Informing power and sample size calculations when using inverse probability of treatment weighting using the propensity score
por: Austin, Peter C.
Publicado: (2021)

A bootstrap approach for assessing the uncertainty of outcome probabilities when using a scoring system
por: Cevenini, Gabriele, et al.
Publicado: (2010)

Factors associated with advanced tricuspid regurgitation after left-side double valve replacement in propensity-score-matched analysis: Propensity score matching in observational studies
por: Yay, Meral
Publicado: (2022)

Comparing paired vs non-paired statistical methods of analyses when making inferences about absolute risk reductions in propensity-score matched samples
por: Austin, Peter C
Publicado: (2011)

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
por: Austin, Peter C, et al.
Publicado: (2015)

Propensity-score matched comparison between minimally invasive and conventional aortic valve replacement
por: Gašparović, Hrvoje, et al.
Publicado: (2022)

Double propensity-score adjustment: A solution to design bias or bias due to incomplete matching
por: Austin, Peter C
Publicado: (2016)

Bacteremic sepsis leads to higher mortality when adjusting for confounders with propensity score matching
por: Mellhammar, Lisa, et al.
Publicado: (2021)

Metformin use and the risk of total knee replacement among diabetic patients: a propensity-score-matched retrospective cohort study
por: Lai, Francisco T. T., et al.
Publicado: (2022)

Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples
por: Austin, Peter C
Publicado: (2009)

Corrigendum to “Propensity score stratification using bootstrap aggregating classification trees analysis” [Heliyon 6 (7) July 2020 e04288]
por: Otok, Bambang Widjanarko, et al.
Publicado: (2020)

Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies
por: Austin, Peter C., et al.
Publicado: (2015)

Stentless Root Replacement versus Tissue Valves in Infective Endocarditis - A Propensity-Score Matched Study
por: Easo, Jerry, et al.
Publicado: (2020)

Fate of the distal aorta following root replacement in Marfan syndrome: a propensity score matched study
por: Liu, Hao, et al.
Publicado: (2023)

Head to head comparison of the propensity score and the high-dimensional propensity score matching methods
por: Guertin, Jason R., et al.
Publicado: (2016)

Covariate-adjusted survival analyses in propensity-score matched samples: Imputing potential time-to-event outcomes
por: Austin, Peter C, et al.
Publicado: (2018)

Real-world corticosteroid use in severe pneumonia: a propensity-score-matched study
por: Ceccato, A., et al.
Publicado: (2021)

Propensity score-matched analysis of patients with severe aortic stenosis undergoing surgical aortic valve replacement
por: Miura, Shiro, et al.
Publicado: (2019)

Minimally Invasive Approaches Versus Conventional Sternotomy for Aortic Valve Replacement: A Propensity Score Matching Study
por: Bang, Ji Hyun, et al.
Publicado: (2012)

Propensity Score Method for Partially Matched Omics Studies
por: Kuan, Pei-Fen
Publicado: (2014)

Safety of laparoscopic pancreaticoduodenectomy in patients with liver cirrhosis using propensity score matching
por: Cheng, Ke, et al.
Publicado: (2021)

More details are needed about the use of multicenter propensity score matching analysis
por: Feng, Qingbo, et al.
Publicado: (2023)

Feasibility of articulating laparoscopic instruments in laparoscopic gastrectomy using propensity score matching
por: Kang, So Hyun, et al.
Publicado: (2023)

Impact of Predialysis Psychosocial Conditions on Kidney Transplant Recipient Survival: Evidence Using Propensity Score Matching
por: Fu, Rui, et al.
Publicado: (2019)

Comparative study on preoperative localization techniques using microcoil and hookwire by propensity score matching
por: Yang, Feng, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_50ulqagh0b3i0g9gkg7lsdfu3g