These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

156 related articles for article (PubMed ID: 32103533)

  • 1. Propensity scores using missingness pattern information: a practical guide.
    Blake HA; Leyrat C; Mansfield KE; Seaman S; Tomlinson LA; Carpenter J; Williamson EJ
    Stat Med; 2020 May; 39(11):1641-1657. PubMed ID: 32103533
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Common Methods for Handling Missing Data in Marginal Structural Models: What Works and Why.
    Leyrat C; Carpenter JR; Bailly S; Williamson EJ
    Am J Epidemiol; 2021 Apr; 190(4):663-672. PubMed ID: 33057574
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of methods for handling covariate missingness in propensity score estimation with a binary exposure.
    Coffman DL; Zhou J; Cai X
    BMC Med Res Methodol; 2020 Jun; 20(1):168. PubMed ID: 32586271
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A comparison of different methods to handle missing data in the context of propensity score analysis.
    Choi J; Dekkers OM; le Cessie S
    Eur J Epidemiol; 2019 Jan; 34(1):23-36. PubMed ID: 30341708
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Propensity score matching after multiple imputation when a confounder has missing data.
    Ségalas C; Leyrat C; Carpenter JR; Williamson E
    Stat Med; 2023 Mar; 42(7):1082-1095. PubMed ID: 36695043
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Propensity score analysis with partially observed covariates: How should multiple imputation be used?
    Leyrat C; Seaman SR; White IR; Douglas I; Smeeth L; Kim J; Resche-Rigon M; Carpenter JR; Williamson EJ
    Stat Methods Med Res; 2019 Jan; 28(1):3-19. PubMed ID: 28573919
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Estimating treatment effects with partially observed covariates using outcome regression with missing indicators.
    Blake HA; Leyrat C; Mansfield KE; Tomlinson LA; Carpenter J; Williamson EJ
    Biom J; 2020 Mar; 62(2):428-443. PubMed ID: 31994239
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Inverse Probability of Treatment Weighting and Confounder Missingness in Electronic Health Record-based Analyses: A Comparison of Approaches Using Plasmode Simulation.
    Vader DT; Mamtani R; Li Y; Griffith SD; Calip GS; Hubbard RA
    Epidemiology; 2023 Jul; 34(4):520-530. PubMed ID: 37155612
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Handling of missing data with multiple imputation in observational studies that address causal questions: protocol for a scoping review.
    Mainzer R; Moreno-Betancur M; Nguyen C; Simpson J; Carlin J; Lee K
    BMJ Open; 2023 Feb; 13(2):e065576. PubMed ID: 36725096
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Propensity score estimation with missing values using a multiple imputation missingness pattern (MIMP) approach.
    Qu Y; Lipkovich I
    Stat Med; 2009 Apr; 28(9):1402-14. PubMed ID: 19222021
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Analyzing partially missing confounder information in comparative effectiveness and safety research of therapeutics.
    Toh S; García Rodríguez LA; Hernán MA
    Pharmacoepidemiol Drug Saf; 2012 May; 21 Suppl 2(0 2):13-20. PubMed ID: 22552975
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Principled Approach to Characterize and Analyze Partially Observed Confounder Data from Electronic Health Records.
    Weberpals J; Raman SR; Shaw PA; Lee H; Russo M; Hammill BG; Toh S; Connolly JG; Dandreo KJ; Tian F; Liu W; Li J; Hernández-Muñoz JJ; Glynn RJ; Desai RJ
    Clin Epidemiol; 2024; 16():329-343. PubMed ID: 38798915
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multiple imputation with missing indicators as proxies for unmeasured variables: simulation study.
    Sperrin M; Martin GP
    BMC Med Res Methodol; 2020 Jul; 20(1):185. PubMed ID: 32640992
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Propensity Score Analysis with Partially Observed Baseline Covariates: A Practical Comparison of Methods for Handling Missing Data.
    Bottigliengo D; Lorenzoni G; Ocagli H; Martinato M; Berchialla P; Gregori D
    Int J Environ Res Public Health; 2021 Jun; 18(13):. PubMed ID: 34206234
    [TBL] [Abstract][Full Text] [Related]  

  • 16. smdi: an R package to perform structural missing data investigations on partially observed confounders in real-world evidence studies.
    Weberpals J; Raman SR; Shaw PA; Lee H; Hammill BG; Toh S; Connolly JG; Dandreo KJ; Tian F; Liu W; Li J; Hernández-Muñoz JJ; Glynn RJ; Desai RJ
    JAMIA Open; 2024 Apr; 7(1):ooae008. PubMed ID: 38304248
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Bayesian nonparametric approach to causal inference on quantiles.
    Xu D; Daniels MJ; Winterstein AG
    Biometrics; 2018 Sep; 74(3):986-996. PubMed ID: 29478267
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Two-Step Approach for Analysis of Nonignorable Missing Outcomes in Longitudinal Regression: an Application to Upstate KIDS Study.
    Liu D; Yeung EH; McLain AC; Xie Y; Buck Louis GM; Sundaram R
    Paediatr Perinat Epidemiol; 2017 Sep; 31(5):468-478. PubMed ID: 28767145
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Adjusting for indirectly measured confounding using large-scale propensity score.
    Zhang L; Wang Y; Schuemie MJ; Blei DM; Hripcsak G
    J Biomed Inform; 2022 Oct; 134():104204. PubMed ID: 36108816
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An application of the mixed-effects model and pattern mixture model to treatment groups with differential missingness suspected not-missing-at-random.
    Gosho M; Maruo K
    Pharm Stat; 2021 Jan; 20(1):93-108. PubMed ID: 33249763
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.