244 related articles for article (PubMed ID: 35035932)
1. An introduction to inverse probability of treatment weighting in observational research.
Chesnaye NC; Stel VS; Tripepi G; Dekker FW; Fu EL; Zoccali C; Jager KJ
Clin Kidney J; 2022 Jan; 15(1):14-20. PubMed ID: 35035932
[TBL] [Abstract][Full Text] [Related]
2. Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies.
Austin PC; Stuart EA
Stat Med; 2015 Dec; 34(28):3661-79. PubMed ID: 26238958
[TBL] [Abstract][Full Text] [Related]
3. 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.
Austin PC; Stuart EA
Stat Methods Med Res; 2017 Aug; 26(4):1654-1670. PubMed ID: 25934643
[TBL] [Abstract][Full Text] [Related]
4. Propensity score weighting under limited overlap and model misspecification.
Zhou Y; Matsouaka RA; Thomas L
Stat Methods Med Res; 2020 Dec; 29(12):3721-3756. PubMed ID: 32693715
[TBL] [Abstract][Full Text] [Related]
5. Unicompartmental compared with total knee replacement for patients with multimorbidities: a cohort study using propensity score stratification and inverse probability weighting.
Prats-Uribe A; Kolovos S; Berencsi K; Carr A; Judge A; Silman A; Arden N; Petersen I; Douglas IJ; Wilkinson JM; Murray D; Valderas JM; Beard DJ; Lamb SE; Ali MS; Pinedo-Villanueva R; Strauss VY; Prieto-Alhambra D
Health Technol Assess; 2021 Nov; 25(66):1-126. PubMed ID: 34812138
[TBL] [Abstract][Full Text] [Related]
6. Use and reporting of inverse-probability-of-treatment weighting for multicategory treatments in medical research: a systematic review.
Bettega F; Mendelson M; Leyrat C; Bailly S
J Clin Epidemiol; 2024 Jun; 170():111338. PubMed ID: 38556101
[TBL] [Abstract][Full Text] [Related]
7. [Introduction to an individual-based standardization method -- propensity score weighting].
Li ZW; Liu JM; Ren AG
Zhonghua Liu Xing Bing Xue Za Zhi; 2010 Feb; 31(2):223-6. PubMed ID: 21215089
[TBL] [Abstract][Full Text] [Related]
8. Joint modeling of concurrent binary outcomes in a longitudinal observational study using inverse probability of treatment weighting for treatment effect estimation.
Agogo GO; Murphy TE; McAvay GJ; Allore HG
Ann Epidemiol; 2019 Jul; 35():53-58. PubMed ID: 31085069
[TBL] [Abstract][Full Text] [Related]
9. Variance estimation when using inverse probability of treatment weighting (IPTW) with survival analysis.
Austin PC
Stat Med; 2016 Dec; 35(30):5642-5655. PubMed ID: 27549016
[TBL] [Abstract][Full Text] [Related]
10. [Propensity scores in observational research].
Groenwold RH
Ned Tijdschr Geneeskd; 2013; 157(29):A6179. PubMed ID: 23859107
[TBL] [Abstract][Full Text] [Related]
11. Performance evaluation of regression splines for propensity score adjustment in post-market safety analysis with multiple treatments.
Tian Y; Baro E; Zhang R
J Biopharm Stat; 2019; 29(5):810-821. PubMed ID: 31502924
[TBL] [Abstract][Full Text] [Related]
12. Covariate adjustment of cumulative incidence functions for competing risks data using inverse probability of treatment weighting.
Neumann A; Billionnet C
Comput Methods Programs Biomed; 2016 Jun; 129():63-70. PubMed ID: 27084321
[TBL] [Abstract][Full Text] [Related]
13. Introduction to propensity scores.
Williamson EJ; Forbes A
Respirology; 2014 Jul; 19(5):625-35. PubMed ID: 24889820
[TBL] [Abstract][Full Text] [Related]
14. Comparing approaches to causal inference for longitudinal data: inverse probability weighting versus propensity scores.
Ertefaie A; Stephens DA
Int J Biostat; 2010; 6(2):Article 14. PubMed ID: 21969998
[TBL] [Abstract][Full Text] [Related]
15. Matching Weights to Simultaneously Compare Three Treatment Groups: Comparison to Three-way Matching.
Yoshida K; Hernández-Díaz S; Solomon DH; Jackson JW; Gagne JJ; Glynn RJ; Franklin JM
Epidemiology; 2017 May; 28(3):387-395. PubMed ID: 28151746
[TBL] [Abstract][Full Text] [Related]
16. An application of propensity score weighting to quantify the causal effect of rectal sexually transmitted infections on incident HIV among men who have sex with men.
Vaughan AS; Kelley CF; Luisi N; del Rio C; Sullivan PS; Rosenberg ES
BMC Med Res Methodol; 2015 Mar; 15():25. PubMed ID: 25888416
[TBL] [Abstract][Full Text] [Related]
17. Informing power and sample size calculations when using inverse probability of treatment weighting using the propensity score.
Austin PC
Stat Med; 2021 Nov; 40(27):6150-6163. PubMed ID: 34510501
[TBL] [Abstract][Full Text] [Related]
18. Propensity score weighting analysis and treatment effect discovery.
Mao H; Li L; Greene T
Stat Methods Med Res; 2019 Aug; 28(8):2439-2454. PubMed ID: 29921162
[TBL] [Abstract][Full Text] [Related]
19. Propensity score trimming mitigates bias due to covariate measurement error in inverse probability of treatment weighted analyses: A plasmode simulation.
Conover MM; Rothman KJ; Stürmer T; Ellis AR; Poole C; Jonsson Funk M
Stat Med; 2021 Apr; 40(9):2101-2112. PubMed ID: 33622016
[TBL] [Abstract][Full Text] [Related]
20. Diagnosing Covariate Balance Across Levels of Right-Censoring Before and After Application of Inverse-Probability-of-Censoring Weights.
Jackson JW
Am J Epidemiol; 2019 Dec; 188(12):2213-2221. PubMed ID: 31145432
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
