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Volumn 9, Issue 1, 2016, Pages

Multiple imputation of multiple multi-item scales when a full imputation model is infeasible Medical Research Methodology

Author keywords

Missing data; Multi item scale; Multiple imputation; Survey data

Indexed keywords

ANTIHYPERTENSIVE AGENT;

EID: 84956594360     PISSN: None     EISSN: 17560500     Source Type: Journal    
DOI: 10.1186/s13104-016-1853-5     Document Type: Article
Times cited : (49)

References (29)
  • 1
    • 78651256743 scopus 로고    scopus 로고
    • Multiple imputation using chained equations: Issues and guidance for practice
    • 21225900
    • White IR, Royston P, Wood AM. Multiple imputation using chained equations: issues and guidance for practice. Stat Med. 2011;30(4):377-99.
    • (2011) Stat Med , vol.30 , Issue.4 , pp. 377-399
    • White, I.R.1    Royston, P.2    Wood, A.M.3
  • 3
    • 71549166314 scopus 로고    scopus 로고
    • An introduction to modern missing data analyses
    • 20006986
    • Baraldi AN, Enders CK. An introduction to modern missing data analyses. J Sch Psychol. 2010;48:5-37.
    • (2010) J Sch Psychol , vol.48 , pp. 5-37
    • Baraldi, A.N.1    Enders, C.K.2
  • 4
    • 21844483562 scopus 로고
    • Missing Data: A conceptual review for applied psychologists
    • Roth PL. Missing Data: a conceptual review for applied psychologists. Personnel Psychology. 1994;41(3):537-60.
    • (1994) Personnel Psychology , vol.41 , Issue.3 , pp. 537-560
    • Roth, P.L.1
  • 5
    • 25144472336 scopus 로고    scopus 로고
    • Are missing outcome data adequately handled? a review of published randomized controlled trials in major medical journals
    • 16279275
    • Wood A, White IR, Thompson SG. Are missing outcome data adequately handled? a review of published randomized controlled trials in major medical journals. Clin Trials. 2004;1:368-76.
    • (2004) Clin Trials , vol.1 , pp. 368-376
    • Wood, A.1    White, I.R.2    Thompson, S.G.3
  • 6
    • 12744272198 scopus 로고    scopus 로고
    • Missing data in educational research: A review of reporting practices and suggestions for improvement
    • Peugh JL, Enders CK. Missing data in educational research: a review of reporting practices and suggestions for improvement. Rev Educ Res. 2004;74(4):525-56.
    • (2004) Rev Educ Res , vol.74 , Issue.4 , pp. 525-556
    • Peugh, J.L.1    Enders, C.K.2
  • 7
    • 84952497143 scopus 로고
    • Missing-data adjustments in large surveys
    • Little RJA. Missing-data adjustments in large surveys. J Bus Econ Stat. 1988;6(3):287-96.
    • (1988) J Bus Econ Stat , vol.6 , Issue.3 , pp. 287-296
    • Little, R.J.A.1
  • 8
    • 0035748192 scopus 로고    scopus 로고
    • The use of multiple imputation for the analysis of missing data
    • 1:STN:280:DC%2BD38%2FltlCquw%3D%3D 11778675
    • Sinharay S, Stern HS, Russell D. The use of multiple imputation for the analysis of missing data. Psychol Methods. 2001;6(4):317-29.
    • (2001) Psychol Methods , vol.6 , Issue.4 , pp. 317-329
    • Sinharay, S.1    Stern, H.S.2    Russell, D.3
  • 9
    • 68249114452 scopus 로고    scopus 로고
    • Multiple imputation for missing data in epidemiological and clinical research: Potential and pitfalls
    • 2714692 19564179
    • Sterne JAC, White IR, Carlin JB, et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ. 2009;338:b2393.
    • (2009) BMJ , vol.338 , pp. b2393
    • Sterne, J.A.C.1    White, I.R.2    Carlin, J.B.3
  • 10
    • 84855523282 scopus 로고    scopus 로고
    • Missing data in trial-based cost-effectiveness. Analysis: The current state of play
    • 22223561
    • Noble SM, Hollingworth W, Tilling K. Missing data in trial-based cost-effectiveness. analysis: the current state of play. Health Econ. 2012;21(2):187-200.
    • (2012) Health Econ , vol.21 , Issue.2 , pp. 187-200
    • Noble, S.M.1    Hollingworth, W.2    Tilling, K.3
  • 11
    • 84863549891 scopus 로고    scopus 로고
    • Reporting missing data: A study of selected articles published from 2003-2007
    • Rousseau M, Simon M, Bertrand R, et al. Reporting missing data: a study of selected articles published from 2003-2007. Qual Quant. 2012;46(5):1393-406.
    • (2012) Qual Quant , vol.46 , Issue.5 , pp. 1393-1406
    • Rousseau, M.1    Simon, M.2    Bertrand, R.3
  • 12
    • 84863601626 scopus 로고    scopus 로고
    • A review of the reporting and handling of missing data in cohort studies with repeated assessment of exposure measures
    • 3464662 22784200
    • Karahalios A, Baglietto L, Carlin JB, et al. A review of the reporting and handling of missing data in cohort studies with repeated assessment of exposure measures. BMC Med Res Methodol. 2012;12:96.
    • (2012) BMC Med Res Methodol , vol.12 , pp. 96
    • Karahalios, A.1    Baglietto, L.2    Carlin, J.B.3
  • 13
    • 84864876506 scopus 로고    scopus 로고
    • Missing Data: A systematic review of how they are reported and handled
    • 22584299
    • Eekhout I, de Boer MR, Twisk JWR, et al. Missing Data: a systematic review of how they are reported and handled. Epidemiology. 2012;23(5):729-32.
    • (2012) Epidemiology , vol.23 , Issue.5 , pp. 729-732
    • Eekhout, I.1    De Boer, M.R.2    Twisk, J.W.R.3
  • 14
    • 84929252277 scopus 로고    scopus 로고
    • Handling missing data in RCTs; A review of the top medical journals
    • 4247714 25407057
    • Bell ML, Fiero M, Horton NJ, et al. Handling missing data in RCTs; a review of the top medical journals. BMC Med Res Methodol. 2014;14:118.
    • (2014) BMC Med Res Methodol , vol.14 , pp. 118
    • Bell, M.L.1    Fiero, M.2    Horton, N.J.3
  • 15
    • 84925511766 scopus 로고    scopus 로고
    • Multiple imputation to deal with missing EQ-5D-3L data: Should we impute individual domains or the actual index?
    • 25471286
    • Simons CL, Rivero-Arias O, Yu LM, et al. Multiple imputation to deal with missing EQ-5D-3L data: should we impute individual domains or the actual index? Qual Life Res. 2015;24:805-15.
    • (2015) Qual Life Res , vol.24 , pp. 805-815
    • Simons, C.L.1    Rivero-Arias, O.2    Yu, L.M.3
  • 16
    • 84894911709 scopus 로고    scopus 로고
    • Missing data in a multi-item instrument were best handled by multiple imputation at the item score level
    • 24291505
    • Eekhout I, de Vet HCW, Twisk JWR, et al. Missing data in a multi-item instrument were best handled by multiple imputation at the item score level. J Clin Epidemiol. 2014;67:335-42.
    • (2014) J Clin Epidemiol , vol.67 , pp. 335-342
    • Eekhout, I.1    De Vet, H.C.W.2    Twisk, J.W.R.3
  • 18
    • 77955271783 scopus 로고    scopus 로고
    • Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables
    • 3990447 24748700
    • White IR, Daniel R, Royston P. Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables. Comput Stat Data Anal. 2010;54:2267-75.
    • (2010) Comput Stat Data Anal , vol.54 , pp. 2267-2275
    • White, I.R.1    Daniel, R.2    Royston, P.3
  • 19
    • 32444450470 scopus 로고    scopus 로고
    • Multiple imputation of missing values: Update
    • Royston P. Multiple imputation of missing values: update. Stata J. 2005;5(2):188-201.
    • (2005) Stata J , vol.5 , Issue.2 , pp. 188-201
    • Royston, P.1
  • 21
    • 84924869404 scopus 로고    scopus 로고
    • Predictors of self-reported adherence to antihypertensive medicines: A multi-national, cross-sectional survey
    • Morrison VL, Holmes EAF, Parveen S, et al. Predictors of self-reported adherence to antihypertensive medicines: a multi-national, cross-sectional survey. Value Health. 2015. doi: 10.1016/j.val.2014.12.013.
    • (2015) Value Health
    • Morrison, V.L.1    Holmes, E.A.F.2    Parveen, S.3
  • 22
    • 49349115364 scopus 로고    scopus 로고
    • Predictive validity of a medication adherence measure for hypertension control
    • Morisky DE, Ang A, Krousel-Wood M, et al. Predictive validity of a medication adherence measure for hypertension control. J Clin Hypertens. 2008;10(5):348-54.
    • (2008) J Clin Hypertens , vol.10 , Issue.5 , pp. 348-354
    • Morisky, D.E.1    Ang, A.2    Krousel-Wood, M.3
  • 23
    • 48949115334 scopus 로고    scopus 로고
    • Comparison of two methods of eliciting time preference for future health states
    • van der Pola M, Cairns J. Comparison of two methods of eliciting time preference for future health states. Soc Sci Med. 2008;67(5):883-9.
    • (2008) Soc Sci Med , vol.67 , Issue.5 , pp. 883-889
    • Van Der Pola, M.1    Cairns, J.2
  • 24
    • 33646501982 scopus 로고    scopus 로고
    • Multiple imputation of missing values: Update of ice
    • Royston P. Multiple imputation of missing values: update of ice. Stata J. 2005;5(4):527-36.
    • (2005) Stata J , vol.5 , Issue.4 , pp. 527-536
    • Royston, P.1
  • 25
    • 70349590221 scopus 로고    scopus 로고
    • Multiple imputation of missing values: Further update of ice, with an emphasis on categorical variables
    • Royston P. Multiple imputation of missing values: further update of ice, with an emphasis on categorical variables. Stata J. 2009;9(3):466-77.
    • (2009) Stata J , vol.9 , Issue.3 , pp. 466-477
    • Royston, P.1
  • 26
    • 48249126832 scopus 로고    scopus 로고
    • How should variable selection be performed with multiply imputed data?
    • 18203127
    • Wood AM, White IR, Royston P. How should variable selection be performed with multiply imputed data? Stat Med. 2008;27:3227-46.
    • (2008) Stat Med , vol.27 , pp. 3227-3246
    • Wood, A.M.1    White, I.R.2    Royston, P.3
  • 27
    • 84950419706 scopus 로고
    • Handling, "don't know" survey responses: The case of the slovenian plebiscite
    • Rubin DB, Stern HS, Vehovar V. Handling, "don't know" survey responses: the case of the slovenian plebiscite. J Am Stat Assoc. 1995;90:822-8.
    • (1995) J Am Stat Assoc , vol.90 , pp. 822-828
    • Rubin, D.B.1    Stern, H.S.2    Vehovar, V.3
  • 28
    • 80051798338 scopus 로고    scopus 로고
    • Common statistical and research design problems in manuscripts submitted to high-impact medical journals
    • 3224575 21854631
    • Fernandes-Taylor S, Hyun JK, Reeder RN, et al. Common statistical and research design problems in manuscripts submitted to high-impact medical journals. BMC Res Notes. 2011;4:304.
    • (2011) BMC Res Notes , vol.4 , pp. 304
    • Fernandes-Taylor, S.1    Hyun, J.K.2    Reeder, R.N.3
  • 29
    • 79953721465 scopus 로고    scopus 로고
    • Survey of editors and reviewers of high-impact psychology journals: Statistical and research design problems in submitted manuscripts
    • 21560804
    • Harris A, Reeder R, Hyun J. Survey of editors and reviewers of high-impact psychology journals: statistical and research design problems in submitted manuscripts. J Psychol. 2011;145(3):195-209.
    • (2011) J Psychol , vol.145 , Issue.3 , pp. 195-209
    • Harris, A.1    Reeder, R.2    Hyun, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.