메뉴 건너뛰기
Nephrology Dialysis Transplantation
Volumn 29, Issue 10, 2014, Pages 1806-1814
Representation of exposures in regression analysis and interpretation of regression coefficients: Basic concepts and pitfalls
Author keywords

categorical variable; continuous variable; exposure modelling; linearity; regression
Indexed keywords

HEMOGLOBIN; BIOLOGICAL MARKER;
EID: 84917684912     PISSN: 09310509     EISSN: 14602385     Source Type: Journal    
DOI: 10.1093/ndt/gft500     Document Type: Review
Times cited : (16)
References (9)
  • 1
    • 41049117563 scopus 로고    scopus 로고
    • Linear and logistic regression analysis
    • Tripepi G, Jager KJ, Dekker FWet al. Linear and logistic regression analysis. Kidney Int 2008; 73: 806-810
    • (2008) Kidney Int , vol.73 , pp. 806-810
    • Tripepi, G.1    Jager, K.J.2    Dekker, F.W.3
  • 2
    • 50849141314 scopus 로고    scopus 로고
    • The analysis of survival data in nephrology: Basic concepts and methods of Cox regression
    • van Dijk PC, Jager KJ, Zwinderman AH et al. The analysis of survival data in nephrology: basic concepts and methods of Cox regression. Kidney Int 2008; 74: 705-709
    • (2008) Kidney Int , vol.74 , pp. 705-709
    • Van Dijk, P.C.1    Jager, K.J.2    Zwinderman, A.H.3
  • 3
    • 79955633365 scopus 로고    scopus 로고
    • Estimated GFR associates with cardiovascular risk factors independently of measured GFR
    • Mathisen UD, Melsom T, Ingebretsen OC et al. Estimated GFR associates with cardiovascular risk factors independently of measured GFR. J Am Soc Nephrol 2011; 22: 927-937
    • (2011) J Am Soc Nephrol , vol.22 , pp. 927-937
    • Mathisen, U.D.1    Melsom, T.2    Ingebretsen, O.C.3
  • 4
    • 0029020424 scopus 로고
    • Dose-response and trend analysis in epidemiology: Alternatives to categorical analysis
    • Greenland S. Dose-response and trend analysis in epidemiology: alternatives to categorical analysis. Am J Epidemiol 1995; 6: 356-365
    • (1995) Am J Epidemiol , vol.6 , pp. 356-365
    • Greenland, S.1
  • 5
    • 0032717032 scopus 로고    scopus 로고
    • The use of fractional polynomials to model continuous risk variables in epidemiology
    • Royston P, Ambler G, Sauerbrei W. The use of fractional polynomials to model continuous risk variables in epidemiology. Int J Epidemiol 1999; 28: 964-974
    • (1999) Int J Epidemiol , vol.28 , pp. 964-974
    • Royston, P.1    Ambler, G.2    Sauerbrei, W.3
  • 6
    • 84928800034 scopus 로고    scopus 로고
    • A comparison of generalized additive models to other common modeling strategies for continuous covariates: Implication for risk adjustment
    • Moore L, Hanley JA, Turgeon AF et al. A comparison of generalized additive models to other common modeling strategies for continuous covariates: implication for risk adjustment. J Biomet Biostat 2011; 2: 109
    • (2011) J Biomet Biostat , vol.2 , pp. 109
    • Moore, L.1    Hanley, J.A.2    Turgeon, A.F.3
  • 7
    • 77950874403 scopus 로고    scopus 로고
    • Dose-response analyses using restricted cubic spline functions in public health research
    • Desquilbet L, Mariotti F. Dose-response analyses using restricted cubic spline functions in public health research. Stat Med 2010; 29: 1037-1057
    • (2010) Stat Med , vol.29 , pp. 1037-1057
    • Desquilbet, L.1    Mariotti, F.2
  • 8
    • 33646921786 scopus 로고    scopus 로고
    • Multivariable regression model building by using fractional polynomilas: Description of SAS, STATA and R programs
    • Sauerbrei W, Meier-Hirmer C, Benner A et al. Multivariable regression model building by using fractional polynomilas: description of SAS, STATA and R programs. Comput Stat Data Analysis 2006; 50: 3464-3485
    • (2006) Comput Stat Data Analysis , vol.50 , pp. 3464-3485
    • Sauerbrei, W.1    Meier-Hirmer, C.2    Benner, A.3
  • 9
    • 11344295874 scopus 로고    scopus 로고
    • Using generalized additive models to reduce residual confounding
    • Benedetti A, Abrahamowicz M. Using generalized additive models to reduce residual confounding. Stat Med 2004; 23: 3781-3801
    • (2004) Stat Med , vol.23 , pp. 3781-3801
    • Benedetti, A.1    Abrahamowicz, M.2

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.