BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

320 related articles for article (PubMed ID: 28830466)

  • 1. Methods for significance testing of categorical covariates in logistic regression models after multiple imputation: power and applicability analysis.
    Eekhout I; van de Wiel MA; Heymans MW
    BMC Med Res Methodol; 2017 Aug; 17(1):129. PubMed ID: 28830466
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A simple pooling method for variable selection in multiply imputed datasets outperformed complex methods.
    Panken AM; Heymans MW
    BMC Med Res Methodol; 2022 Aug; 22(1):214. PubMed ID: 35927610
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A nonparametric multiple imputation approach for missing categorical data.
    Zhou M; He Y; Yu M; Hsu CH
    BMC Med Res Methodol; 2017 Jun; 17(1):87. PubMed ID: 28587662
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Significance Tests and Estimates for
    van Ginkel JR
    Multivariate Behav Res; 2019; 54(4):514-529. PubMed ID: 30822143
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Imputation strategies for missing continuous outcomes in cluster randomized trials.
    Taljaard M; Donner A; Klar N
    Biom J; 2008 Jun; 50(3):329-45. PubMed ID: 18537126
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Inference following multiple imputation for generalized additive models: an investigation of the median p-value rule with applications to the Pulmonary Hypertension Association Registry and Colorado COVID-19 hospitalization data.
    Bolt MA; MaWhinney S; Pattee JW; Erlandson KM; Badesch DB; Peterson RA
    BMC Med Res Methodol; 2022 May; 22(1):148. PubMed ID: 35597908
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multiple imputation methods for handling missing values in a longitudinal categorical variable with restrictions on transitions over time: a simulation study.
    De Silva AP; Moreno-Betancur M; De Livera AM; Lee KJ; Simpson JA
    BMC Med Res Methodol; 2019 Jan; 19(1):14. PubMed ID: 30630434
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Combining multiple imputation and meta-analysis with individual participant data.
    Burgess S; White IR; Resche-Rigon M; Wood AM
    Stat Med; 2013 Nov; 32(26):4499-514. PubMed ID: 23703895
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multiple imputation with sequential penalized regression.
    Zahid FM; Heumann C
    Stat Methods Med Res; 2019 May; 28(5):1311-1327. PubMed ID: 29451087
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multiple imputation for handling missing outcome data when estimating the relative risk.
    Sullivan TR; Lee KJ; Ryan P; Salter AB
    BMC Med Res Methodol; 2017 Sep; 17(1):134. PubMed ID: 28877666
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Confidence intervals after multiple imputation: combining profile likelihood information from logistic regressions.
    Heinze G; Ploner M; Beyea J
    Stat Med; 2013 Dec; 32(29):5062-76. PubMed ID: 23873477
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Issues in use of SAS PROC.MIXED to test the significance of treatment effects in controlled clinical trials.
    Ahn C; Tonidandel S; Overall JE
    J Biopharm Stat; 2000 May; 10(2):265-86. PubMed ID: 10803729
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Simulation of correlated continuous and categorical variables using a single multivariate distribution.
    Tannenbaum SJ; Holford NH; Lee H; Peck CC; Mould DR
    J Pharmacokinet Pharmacodyn; 2006 Dec; 33(6):773-94. PubMed ID: 17053984
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluation of Multi-parameter Test Statistics for Multiple Imputation.
    Liu Y; Enders CK
    Multivariate Behav Res; 2017; 52(3):371-390. PubMed ID: 28328291
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Combining estimates of interest in prognostic modelling studies after multiple imputation: current practice and guidelines.
    Marshall A; Altman DG; Holder RL; Royston P
    BMC Med Res Methodol; 2009 Jul; 9():57. PubMed ID: 19638200
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An analytic method for the placebo-based pattern-mixture model.
    Lu K
    Stat Med; 2014 Mar; 33(7):1134-45. PubMed ID: 24122822
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bias and Precision of the "Multiple Imputation, Then Deletion" Method for Dealing With Missing Outcome Data.
    Sullivan TR; Salter AB; Ryan P; Lee KJ
    Am J Epidemiol; 2015 Sep; 182(6):528-34. PubMed ID: 26337075
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Meta-analysis of test accuracy studies using imputation for partial reporting of multiple thresholds.
    Ensor J; Deeks JJ; Martin EC; Riley RD
    Res Synth Methods; 2018 Mar; 9(1):100-115. PubMed ID: 29052347
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Variable selection for multiply-imputed data with application to dioxin exposure study.
    Chen Q; Wang S
    Stat Med; 2013 Sep; 32(21):3646-59. PubMed ID: 23526243
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.