166 related articles for article (PubMed ID: 37907863)
1. How to perform prespecified subgroup analyses when using propensity score methods in the case of imbalanced subgroups.
Chatelet F; Verillaud B; Chevret S
BMC Med Res Methodol; 2023 Oct; 23(1):255. PubMed ID: 37907863
[TBL] [Abstract][Full Text] [Related]
2. On the use of propensity scores in case of rare exposure.
Hajage D; Tubach F; Steg PG; Bhatt DL; De Rycke Y
BMC Med Res Methodol; 2016 Mar; 16():38. PubMed ID: 27036963
[TBL] [Abstract][Full Text] [Related]
3. Vector-based kernel weighting: A simple estimator for improving precision and bias of average treatment effects in multiple treatment settings.
Garrido MM; Lum J; Pizer SD
Stat Med; 2021 Feb; 40(5):1204-1223. PubMed ID: 33327037
[TBL] [Abstract][Full Text] [Related]
4. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
5. Variable selection for propensity score models when estimating treatment effects on multiple outcomes: a simulation study.
Wyss R; Girman CJ; LoCasale RJ; Brookhart AM; Stürmer T
Pharmacoepidemiol Drug Saf; 2013 Jan; 22(1):77-85. PubMed ID: 23070806
[TBL] [Abstract][Full Text] [Related]
6. Evaluating the performance of propensity score matching based approaches in individual patient data meta-analysis.
Johara FT; Benedetti A; Platt R; Menzies D; Viiklepp P; Schaaf S; Chan E
BMC Med Res Methodol; 2021 Nov; 21(1):257. PubMed ID: 34814845
[TBL] [Abstract][Full Text] [Related]
7. Oversampling and replacement strategies in propensity score matching: a critical review focused on small sample size in clinical settings.
Bottigliengo D; Baldi I; Lanera C; Lorenzoni G; Bejko J; Bottio T; Tarzia V; Carrozzini M; Gerosa G; Berchialla P; Gregori D
BMC Med Res Methodol; 2021 Nov; 21(1):256. PubMed ID: 34809559
[TBL] [Abstract][Full Text] [Related]
8. Use of propensity score and disease risk score for multiple treatments with time-to-event outcome: a simulation study.
Zhang D; Kim J
J Biopharm Stat; 2019; 29(6):1103-1115. PubMed ID: 30831052
[TBL] [Abstract][Full Text] [Related]
9. Evaluating the use of bootstrapping in cohort studies conducted with 1:1 propensity score matching-A plasmode simulation study.
Desai RJ; Wyss R; Abdia Y; Toh S; Johnson M; Lee H; Karami S; Major JM; Nguyen M; Wang SV; Franklin JM; Gagne JJ
Pharmacoepidemiol Drug Saf; 2019 Jun; 28(6):879-886. PubMed ID: 31020732
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of the propensity score methods for estimating marginal odds ratios in case of small sample size.
Pirracchio R; Resche-Rigon M; Chevret S
BMC Med Res Methodol; 2012 May; 12():70. PubMed ID: 22646911
[TBL] [Abstract][Full Text] [Related]
11. Propensity Score Weighting and Trimming Strategies for Reducing Variance and Bias of Treatment Effect Estimates: A Simulation Study.
Stürmer T; Webster-Clark M; Lund JL; Wyss R; Ellis AR; Lunt M; Rothman KJ; Glynn RJ
Am J Epidemiol; 2021 Aug; 190(8):1659-1670. PubMed ID: 33615349
[TBL] [Abstract][Full Text] [Related]
12. Within-center matching performed better when using propensity score matching to analyze multicenter survival data: empirical and Monte Carlo studies.
Gayat E; Thabut G; Christie JD; Mebazaa A; Mary JY; Porcher R
J Clin Epidemiol; 2013 Sep; 66(9):1029-37. PubMed ID: 23800533
[TBL] [Abstract][Full Text] [Related]
13. Comparison of propensity score methods for pre-specified subgroup analysis with survival data.
Izem R; Liao J; Hu M; Wei Y; Akhtar S; Wernecke M; MaCurdy TE; Kelman J; Graham DJ
J Biopharm Stat; 2020 Jul; 30(4):734-751. PubMed ID: 32191555
[TBL] [Abstract][Full Text] [Related]
14. An Evaluation of Weighting Methods Based on Propensity Scores to Reduce Selection Bias in Multilevel Observational Studies.
Leite WL; Jimenez F; Kaya Y; Stapleton LM; MacInnes JW; Sandbach R
Multivariate Behav Res; 2015; 50(3):265-84. PubMed ID: 26610029
[TBL] [Abstract][Full Text] [Related]
15. Variance estimation of the risk difference when using propensity-score matching and weighting with time-to-event outcomes.
Cafri G; Austin PC
Pharm Stat; 2023; 22(5):880-902. PubMed ID: 37258420
[TBL] [Abstract][Full Text] [Related]
16. Propensity Score Weighting with Missing Data on Covariates and Clustered Data Structure.
Liu X
Multivariate Behav Res; 2024; 59(3):411-433. PubMed ID: 38379305
[TBL] [Abstract][Full Text] [Related]
17. The use of bootstrapping when using propensity-score matching without replacement: a simulation study.
Austin PC; Small DS
Stat Med; 2014 Oct; 33(24):4306-19. PubMed ID: 25087884
[TBL] [Abstract][Full Text] [Related]
18. Nearest Neighbour Propensity Score Matching and Bootstrapping for Estimating Binary Patient Response in Oncology: A Monte Carlo Simulation.
Geldof T; Popovic D; Van Damme N; Huys I; Van Dyck W
Sci Rep; 2020 Jan; 10(1):964. PubMed ID: 31969627
[TBL] [Abstract][Full Text] [Related]
19. Methods for estimating subgroup effects in cost-effectiveness analyses that use observational data.
Kreif N; Grieve R; Radice R; Sadique Z; Ramsahai R; Sekhon JS
Med Decis Making; 2012; 32(6):750-63. PubMed ID: 22691446
[TBL] [Abstract][Full Text] [Related]
20. Bias associated with using the estimated propensity score as a regression covariate.
Hade EM; Lu B
Stat Med; 2014 Jan; 33(1):74-87. PubMed ID: 23787715
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
