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.
173 related articles for article (PubMed ID: 15580604)
1. Sequential tests for gene-environment interactions in matched case-control studies. Tweel Iv; Schipper M Stat Med; 2004 Dec; 23(24):3755-71. PubMed ID: 15580604 [TBL] [Abstract][Full Text] [Related]
2. Tests for gene-environment interaction from case-control data: a novel study of type I error, power and designs. Mukherjee B; Ahn J; Gruber SB; Rennert G; Moreno V; Chatterjee N Genet Epidemiol; 2008 Nov; 32(7):615-26. PubMed ID: 18473390 [TBL] [Abstract][Full Text] [Related]
3. The case-combined-control design was efficient in detecting gene-environment interactions. Andrieu N; Goldstein AM J Clin Epidemiol; 2004 Jul; 57(7):662-71. PubMed ID: 15358394 [TBL] [Abstract][Full Text] [Related]
4. Case-parents design for gene-environment interaction. Schaid DJ Genet Epidemiol; 1999; 16(3):261-73. PubMed ID: 10096689 [TBL] [Abstract][Full Text] [Related]
5. Increased power to detect gene-environment interaction using siblings controls. Andrieu N; Dondon MG; Goldstein AM Ann Epidemiol; 2005 Oct; 15(9):705-11. PubMed ID: 16157257 [TBL] [Abstract][Full Text] [Related]
6. Re: "flexible matching strategies to increase power and efficiency to detect and estimate gene-environment interactions in case-control studies". Schill W; Wild P Am J Epidemiol; 2004 Jun; 159(11):1107-8; author reply 1108. PubMed ID: 15155296 [No Abstract] [Full Text] [Related]
7. Comparison of one-sample two-sided sequential t-tests for application in epidemiological studies. van der Tweel I; Kaaks R; van Noord PA Stat Med; 1996 Dec; 15(24):2781-95. PubMed ID: 8981686 [TBL] [Abstract][Full Text] [Related]
8. The effects of misclassification in studies of gene-environment interactions. Cheng KF; Lin WJ Hum Hered; 2009; 67(2):77-87. PubMed ID: 19077425 [TBL] [Abstract][Full Text] [Related]
9. Misclassification in case-control studies of gene-environment interactions: assessment of bias and sample size. Garcia-Closas M; Rothman N; Lubin J Cancer Epidemiol Biomarkers Prev; 1999 Dec; 8(12):1043-50. PubMed ID: 10613335 [TBL] [Abstract][Full Text] [Related]
10. Estimating interaction between genetic and environmental risk factors: efficiency of sampling designs within a cohort. Bureau A; Diallo MS; Ordovas JM; Cupples LA Epidemiology; 2008 Jan; 19(1):83-93. PubMed ID: 18091418 [TBL] [Abstract][Full Text] [Related]
11. Study design options in evaluating gene-environment interactions: practical considerations for a planned case-control study of pediatric leukemia. Goodman M; Dana Flanders W Pediatr Blood Cancer; 2007 Apr; 48(4):375-9. PubMed ID: 16874764 [TBL] [Abstract][Full Text] [Related]
12. Sample size requirements for indirect association studies of gene-environment interactions (G x E). Hein R; Beckmann L; Chang-Claude J Genet Epidemiol; 2008 Apr; 32(3):235-45. PubMed ID: 18163529 [TBL] [Abstract][Full Text] [Related]
13. On estimation of the variance in Cochran-Armitage trend tests for genetic association using case-control studies. Zheng G; Gastwirth JL Stat Med; 2006 Sep; 25(18):3150-9. PubMed ID: 16397860 [TBL] [Abstract][Full Text] [Related]
14. Design considerations in the sequential analysis of matched case-control data. Baksh MF; Todd S; Whitehead J; Lucini MM Stat Med; 2005 Mar; 24(6):853-67. PubMed ID: 15549675 [TBL] [Abstract][Full Text] [Related]
15. Potential gain in efficiency and power to detect gene-environment interactions by matching in case-control studies. Stürmer T; Brenner H Genet Epidemiol; 2000 Jan; 18(1):63-80. PubMed ID: 10603459 [TBL] [Abstract][Full Text] [Related]
16. Genetic dissection methods: designs used for tests of gene-environment interaction. Liu X; Fallin MD; Kao WH Curr Opin Genet Dev; 2004 Jun; 14(3):241-5. PubMed ID: 15172665 [TBL] [Abstract][Full Text] [Related]
18. Empirical Bayes screening of many p-values with applications to microarray studies. Datta S; Datta S Bioinformatics; 2005 May; 21(9):1987-94. PubMed ID: 15691856 [TBL] [Abstract][Full Text] [Related]
19. Detailed analysis of the relative power of direct and indirect association studies and the implications for their interpretation. Moskvina V; O'Donovan MC Hum Hered; 2007; 64(1):63-73. PubMed ID: 17483598 [TBL] [Abstract][Full Text] [Related]