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 *

186 related articles for article (PubMed ID: 23650074)

  • 21. On the impact of model selection on predictor identification and parameter inference.
    Pfeiffer RM; Redd A; Carroll RJ
    Comput Stat; 2017; 32(2):667-690. PubMed ID: 28690368
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Simulation-selection-extrapolation: Estimation in high-dimensional errors-in-variables models.
    Nghiem L; Potgieter C
    Biometrics; 2019 Dec; 75(4):1133-1144. PubMed ID: 31260084
    [TBL] [Abstract][Full Text] [Related]  

  • 23. EMLasso: logistic lasso with missing data.
    Sabbe N; Thas O; Ottoy JP
    Stat Med; 2013 Aug; 32(18):3143-57. PubMed ID: 23440969
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Variable selection in the cox regression model with covariates missing at random.
    Garcia RI; Ibrahim JG; Zhu H
    Biometrics; 2010 Mar; 66(1):97-104. PubMed ID: 19459831
    [TBL] [Abstract][Full Text] [Related]  

  • 25. On the selection of ordinary differential equation models with application to predator-prey dynamical models.
    Zhang X; Cao J; Carroll RJ
    Biometrics; 2015 Mar; 71(1):131-138. PubMed ID: 25287611
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications.
    Huang J; Zhang CH
    J Mach Learn Res; 2012 Jun; 13():1839-1864. PubMed ID: 24348100
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Survival estimation through the cumulative hazard with monotone natural cubic splines using convex optimization-the HCNS approach.
    Bantis LE; Tsimikas JV; Georgiou SD
    Comput Methods Programs Biomed; 2020 Jul; 190():105357. PubMed ID: 32036203
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Variable selection for zero-inflated and overdispersed data with application to health care demand in Germany.
    Wang Z; Ma S; Wang CY
    Biom J; 2015 Sep; 57(5):867-84. PubMed ID: 26059498
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Estimation of a monotone percentile residual life function under random censorship.
    Franco-Pereira AM; de Uña-Álvarez J
    Biom J; 2013 Jan; 55(1):52-67. PubMed ID: 23225621
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Covariate selection with group lasso and doubly robust estimation of causal effects.
    Koch B; Vock DM; Wolfson J
    Biometrics; 2018 Mar; 74(1):8-17. PubMed ID: 28636276
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Identification of biomarker-by-treatment interactions in randomized clinical trials with survival outcomes and high-dimensional spaces.
    Ternès N; Rotolo F; Heinze G; Michiels S
    Biom J; 2017 Jul; 59(4):685-701. PubMed ID: 27862181
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Lasso adjustments of treatment effect estimates in randomized experiments.
    Bloniarz A; Liu H; Zhang CH; Sekhon JS; Yu B
    Proc Natl Acad Sci U S A; 2016 Jul; 113(27):7383-90. PubMed ID: 27382153
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Favoring the hierarchical constraint in penalized survival models for randomized trials in precision medicine.
    Belhechmi S; Le Teuff G; De Bin R; Rotolo F; Michiels S
    BMC Bioinformatics; 2023 Mar; 24(1):96. PubMed ID: 36927444
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Survival estimation through the cumulative hazard function with monotone natural cubic splines.
    Bantis LE; Tsimikas JV; Georgiou SD
    Lifetime Data Anal; 2012 Jul; 18(3):364-96. PubMed ID: 22399231
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Mixed Lasso estimator for stochastic restricted regression models.
    Guler H; Guler EO
    J Appl Stat; 2021; 48(13-15):2795-2808. PubMed ID: 35707076
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Oracle estimation of parametric models under boundary constraints.
    Wong KY; Goldberg Y; Fine JP
    Biometrics; 2016 Dec; 72(4):1173-1183. PubMed ID: 27060984
    [TBL] [Abstract][Full Text] [Related]  

  • 37. An improved variable selection procedure for adaptive Lasso in high-dimensional survival analysis.
    He K; Wang Y; Zhou X; Xu H; Huang C
    Lifetime Data Anal; 2019 Jul; 25(3):569-585. PubMed ID: 30478713
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A flexible quantile regression model for medical costs with application to Medical Expenditure Panel Survey Study.
    Zhao X; Wang W; Liu L; Shih YT
    Stat Med; 2018 Jul; 37(17):2645-2666. PubMed ID: 29722044
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Reader reaction to "Outcome-adaptive lasso: Variable selection for causal inference" by Shortreed and Ertefaie (2017).
    Baldé I; Yang YA; Lefebvre G
    Biometrics; 2023 Mar; 79(1):514-520. PubMed ID: 35642320
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Joint variable selection for fixed and random effects in linear mixed-effects models.
    Bondell HD; Krishna A; Ghosh SK
    Biometrics; 2010 Dec; 66(4):1069-77. PubMed ID: 20163404
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.