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 *

133 related articles for article (PubMed ID: 33878166)

  • 1. Sampling Strategies for Internal Validation Samples for Exposure Measurement-Error Correction: A Study of Visceral Adipose Tissue Measures Replaced by Waist Circumference Measures.
    Nab L; van Smeden M; de Mutsert R; Rosendaal FR; Groenwold RHH
    Am J Epidemiol; 2021 Sep; 190(9):1935-1947. PubMed ID: 33878166
    [TBL] [Abstract][Full Text] [Related]  

  • 2. STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 1-Basic theory and simple methods of adjustment.
    Keogh RH; Shaw PA; Gustafson P; Carroll RJ; Deffner V; Dodd KW; Küchenhoff H; Tooze JA; Wallace MP; Kipnis V; Freedman LS
    Stat Med; 2020 Jul; 39(16):2197-2231. PubMed ID: 32246539
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Mecor: An R package for measurement error correction in linear regression models with a continuous outcome.
    Nab L; van Smeden M; Keogh RH; Groenwold RHH
    Comput Methods Programs Biomed; 2021 Sep; 208():106238. PubMed ID: 34311414
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The performance of methods for correcting measurement error in case-control studies.
    Stürmer T; Thürigen D; Spiegelman D; Blettner M; Brenner H
    Epidemiology; 2002 Sep; 13(5):507-16. PubMed ID: 12192219
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Performance of bias-correction methods for exposure measurement error using repeated measurements with and without missing data.
    Batistatou E; McNamee R
    Stat Med; 2012 Dec; 31(28):3467-80. PubMed ID: 22733598
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Efficient regression calibration for logistic regression in main study/internal validation study designs with an imperfect reference instrument.
    Spiegelman D; Carroll RJ; Kipnis V
    Stat Med; 2001 Jan; 20(1):139-160. PubMed ID: 11135353
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Body electrical loss analysis (BELA) in the assessment of visceral fat: a demonstration.
    Blomqvist KH; Lundbom J; Lundbom N; Sepponen RE
    Biomed Eng Online; 2011 Nov; 10():98. PubMed ID: 22074269
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multicenter trials using ¹⁸F-fluorodeoxyglucose (FDG) PET to predict chemotherapy response: effects of differential measurement error and bias on power calculations for unselected and enrichment designs.
    Kurland BF; Doot RK; Linden HM; Mankoff DA; Kinahan PE
    Clin Trials; 2013; 10(6):886-95. PubMed ID: 24169628
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Regression calibration to correct correlated errors in outcome and exposure.
    Shaw PA; He J; Shepherd BE
    Stat Med; 2021 Jan; 40(2):271-286. PubMed ID: 33086428
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Correcting for the bias caused by exposure measurement error in epidemiological studies.
    Fahey MT; Forbes AB; Hodge AM
    Respirology; 2014 Oct; 19(7):979-84. PubMed ID: 25123473
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Maximum likelihood, multiple imputation and regression calibration for measurement error adjustment.
    Messer K; Natarajan L
    Stat Med; 2008 Dec; 27(30):6332-50. PubMed ID: 18937275
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Reflection on modern methods: calculating a sample size for a repeatability sub-study to correct for measurement error in a single continuous exposure.
    Morgan KE; Cook S; Leon DA; Frost C
    Int J Epidemiol; 2019 Oct; 48(5):1721-1726. PubMed ID: 31329929
    [TBL] [Abstract][Full Text] [Related]  

  • 13. VAT=TAAT-SAAT: innovative anthropometric model to predict visceral adipose tissue without resort to CT-Scan or DXA.
    Samouda H; Dutour A; Chaumoitre K; Panuel M; Dutour O; Dadoun F
    Obesity (Silver Spring); 2013 Jan; 21(1):E41-50. PubMed ID: 23404678
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Novel artificial neural network and linear regression based equation for estimating visceral adipose tissue volume.
    Lin L; Dekkers IA; Tao Q; Lamb HJ
    Clin Nutr; 2020 Oct; 39(10):3182-3188. PubMed ID: 32151437
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Measurement error correction in the least absolute shrinkage and selection operator model when validation data are available.
    Vasquez MM; Hu C; Roe DJ; Halonen M; Guerra S
    Stat Methods Med Res; 2019 Mar; 28(3):670-680. PubMed ID: 29166842
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bias caused by sampling error in meta-analysis with small sample sizes.
    Lin L
    PLoS One; 2018; 13(9):e0204056. PubMed ID: 30212588
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Correcting for measurement error in fractional polynomial models using Bayesian modelling and regression calibration, with an application to alcohol and mortality.
    Gray CM; Carroll RJ; Lentjes MAH; Keogh RH
    Biom J; 2019 May; 61(3):558-573. PubMed ID: 30892741
    [TBL] [Abstract][Full Text] [Related]  

  • 18. On using summary statistics from an external calibration sample to correct for covariate measurement error.
    Guo Y; Little RJ; McConnell DS
    Epidemiology; 2012 Jan; 23(1):165-74. PubMed ID: 22157312
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Conditional validation sampling for consistent risk estimation with binary outcome data subject to misclassification.
    Gravel CA; Farrell PJ; Krewski D
    Pharmacoepidemiol Drug Saf; 2019 Feb; 28(2):227-233. PubMed ID: 30746841
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Visceral Adiposity Measurements, Metabolic and Inflammatory Profi le in Obese Patients with and Without Type 2 Diabetes Mellitus: A Crosssectional Analysis.
    Wanderley Rocha DR; Jorge AR; Braulio VB; Arbex AK; Marcadenti A
    Curr Diabetes Rev; 2017; 13(1):11-18. PubMed ID: 26467189
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.