메뉴 건너뛰기




Volumn 27, Issue 11, 2008, Pages 1834-1854

Latent transition analysis: Inference and estimation

Author keywords

EM algorithm; Latent transition analysis; MCMC; Small samples

Indexed keywords

ADOLESCENT; ALCOHOL CONSUMPTION; ALGORITHM; ANALYTICAL ERROR; ANALYTICAL PARAMETERS; ARTICLE; BAYES THEOREM; CIGARETTE SMOKING; CONTROLLED STUDY; DRUNKENNESS; HUMAN; LATENT TRANSITION ANALYSIS; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; MONTE CARLO METHOD; PROBABILITY; SAMPLE SIZE; SIMULATION; STATISTICAL ANALYSIS; TIME SERIES ANALYSIS;

EID: 42949083218     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3130     Document Type: Article
Times cited : (26)

References (33)
  • 1
    • 0030459655 scopus 로고    scopus 로고
    • The acquisition and maintenance of safer sexual behaviors among injection drug users
    • Posner SF, Collins LM, Longshore D, Anglin D. The acquisition and maintenance of safer sexual behaviors among injection drug users. Substance Use and Misuse 1996; 31:1995-2015.
    • (1996) Substance Use and Misuse , vol.31 , pp. 1995-2015
    • Posner, S.F.1    Collins, L.M.2    Longshore, D.3    Anglin, D.4
  • 2
    • 25444441205 scopus 로고    scopus 로고
    • Latent transition analysis with covariates: Pubertal timing and substance use behaviors in adolescent females
    • Chung H, Park Y, Lanza ST. Latent transition analysis with covariates: pubertal timing and substance use behaviors in adolescent females. Statistics in Medicine 2005; 24:2895-2910.
    • (2005) Statistics in Medicine , vol.24 , pp. 2895-2910
    • Chung, H.1    Park, Y.2    Lanza, S.T.3
  • 3
    • 0036514064 scopus 로고    scopus 로고
    • Pubertal timing and the onset of substance use in females during early adolescence
    • Lanza ST, Collins LN. Pubertal timing and the onset of substance use in females during early adolescence. Prevention Science 2002; 3:69-82.
    • (2002) Prevention Science , vol.3 , pp. 69-82
    • Lanza, S.T.1    Collins, L.N.2
  • 4
    • 0030461674 scopus 로고    scopus 로고
    • Latent transition analysis for longitudinal data
    • Velicer WF, Martin RA, Collins LM. Latent transition analysis for longitudinal data. Addiction 1996; 91: S197-S209.
    • (1996) Addiction , vol.91
    • Velicer, W.F.1    Martin, R.A.2    Collins, L.M.3
  • 5
    • 42949135749 scopus 로고    scopus 로고
    • Lanza ST, Flaherty BP, Collins LM. Latent class and latent transition analysis. In Handbook of Psychology: 2. Research Methods in Psychology, Schinka JA, Velicer WF (eds). Wiley: Hoboken, NJ, 2003; 663-685.
    • Lanza ST, Flaherty BP, Collins LM. Latent class and latent transition analysis. In Handbook of Psychology: Vol. 2. Research Methods in Psychology, Schinka JA, Velicer WF (eds). Wiley: Hoboken, NJ, 2003; 663-685.
  • 7
    • 33748792000 scopus 로고    scopus 로고
    • Latent class logistic regression: Application to marijuana use and attitudes among high school seniors
    • Chung H, Flaherty BP, Schafer IL. Latent class logistic regression: application to marijuana use and attitudes among high school seniors. Journal of the Royal Statistical Society, Series A 2006; 169:723-743.
    • (2006) Journal of the Royal Statistical Society, Series A , vol.169 , pp. 723-743
    • Chung, H.1    Flaherty, B.P.2    Schafer, I.L.3
  • 8
    • 36448975260 scopus 로고    scopus 로고
    • A latent transition model with logistic regression
    • Chung H, Walls TA, Park Y. A latent transition model with logistic regression. Psychometrika 2007; 72(3): 413-435.
    • (2007) Psychometrika , vol.72 , Issue.3 , pp. 413-435
    • Chung, H.1    Walls, T.A.2    Park, Y.3
  • 9
    • 0033636097 scopus 로고    scopus 로고
    • Latent class model diagnosis
    • Garrett ES, Zeger SL. Latent class model diagnosis. Biometrics 2000; 56:1055-1067.
    • (2000) Biometrics , vol.56 , pp. 1055-1067
    • Garrett, E.S.1    Zeger, S.L.2
  • 10
    • 0037094078 scopus 로고    scopus 로고
    • Methods for evaluating the performance of diagnostic tests in the absence of a gold standard: A latent class model approach
    • Garrett ES, Eaton WW, Zeger SL. Methods for evaluating the performance of diagnostic tests in the absence of a gold standard: a latent class model approach. Statistics in Medicine 2002; 21:1289-1307.
    • (2002) Statistics in Medicine , vol.21 , pp. 1289-1307
    • Garrett, E.S.1    Eaton, W.W.2    Zeger, S.L.3
  • 11
    • 0032382315 scopus 로고    scopus 로고
    • Constrained latent class analysis using the Gibbs sampler and posterior predictive p-values: Applications to educational testing
    • Hoijtink H. Constrained latent class analysis using the Gibbs sampler and posterior predictive p-values: applications to educational testing. Statistica Sinica 1998; 8:691-711.
    • (1998) Statistica Sinica , vol.8 , pp. 691-711
    • Hoijtink, H.1
  • 12
    • 17444404172 scopus 로고    scopus 로고
    • Using data augmentation to obtain standard errors and conduct hypothesis tests in latent class and latent transition analysis
    • Lanza ST, Collins LM, Schafer JL, Flaherty BP. Using data augmentation to obtain standard errors and conduct hypothesis tests in latent class and latent transition analysis. Psychological Methods 2005; 10:84-100.
    • (2005) Psychological Methods , vol.10 , pp. 84-100
    • Lanza, S.T.1    Collins, L.M.2    Schafer, J.L.3    Flaherty, B.P.4
  • 13
    • 19844364465 scopus 로고    scopus 로고
    • Using latent class analysis to model temperament types
    • Loken E. Using latent class analysis to model temperament types. Multivariate Behavioral Research 2004; 39:625-652.
    • (2004) Multivariate Behavioral Research , vol.39 , pp. 625-652
    • Loken, E.1
  • 15
    • 2442480804 scopus 로고    scopus 로고
    • Difficulties in drawing inferences with finite-mixture models: A simple example with a simple solution
    • Chung H, Loken E, Schafer JL. Difficulties in drawing inferences with finite-mixture models: a simple example with a simple solution. The American Statistician 2004; 58:152-158.
    • (2004) The American Statistician , vol.58 , pp. 152-158
    • Chung, H.1    Loken, E.2    Schafer, J.L.3
  • 22
    • 0000599677 scopus 로고    scopus 로고
    • Mixtures of distributions: Inference and estimation
    • Gilks WR, Richardson S, Spiegelhalter DJ eds, Chapman & Hall: London
    • Robert CP. Mixtures of distributions: inference and estimation. In Markov Chain Monte Carlo in Practice, Gilks WR, Richardson S, Spiegelhalter DJ (eds). Chapman & Hall: London, 1996; 441-464.
    • (1996) Markov Chain Monte Carlo in Practice , pp. 441-464
    • Robert, C.P.1
  • 24
    • 0000311058 scopus 로고
    • On the asymptotic performance of the likelihood ratio statistic for the mixture model and related results
    • Wadsworth: Monterey
    • Ghosh JH, Sen PK. On the asymptotic performance of the likelihood ratio statistic for the mixture model and related results. Proceedings of the Berkeley Conference in Honor of Jerzy Neyman and Jack Kiefer, vol. 2. Wadsworth: Monterey, 1995; 789-806.
    • (1995) Proceedings of the Berkeley Conference in Honor of Jerzy Neyman and Jack Kiefer , vol.2 , pp. 789-806
    • Ghosh, J.H.1    Sen, P.K.2
  • 26
    • 0038183179 scopus 로고    scopus 로고
    • Testing the number of components in a normal mixture
    • Lo Y, Mendell NR, Rubin DB. Testing the number of components in a normal mixture. Biometrika 2001; 88:767-778.
    • (2001) Biometrika , vol.88 , pp. 767-778
    • Lo, Y.1    Mendell, N.R.2    Rubin, D.B.3
  • 27
    • 0023570352 scopus 로고
    • On bootstrapping the likelihood ratio test statistic for the number of components in a normal mixture
    • McLachlan GJ. On bootstrapping the likelihood ratio test statistic for the number of components in a normal mixture. Applied Statistics 1987; 36:318-324.
    • (1987) Applied Statistics , vol.36 , pp. 318-324
    • McLachlan, G.J.1
  • 28
    • 0002303084 scopus 로고
    • Testing in latent class models using a posterior predictive check distribution
    • von Eye A, Clogg CC eds, Sage: Thousand Oaks
    • Rubin DB, Stern HS. Testing in latent class models using a posterior predictive check distribution. In Latent Variables Analysis: Applications for Developmental Research, von Eye A, Clogg CC (eds). Sage: Thousand Oaks, 1994; 420-438.
    • (1994) Latent Variables Analysis: Applications for Developmental Research , pp. 420-438
    • Rubin, D.B.1    Stern, H.S.2
  • 29
    • 84928455110 scopus 로고
    • Logit-based interval estimation for binomial data
    • Clogg CC ed, American Sociological Association: Washington, DC
    • Rubin DB, Schenker N. Logit-based interval estimation for binomial data. In Sociological Methodology 1987, Clogg CC (ed.). American Sociological Association: Washington, DC, 1987; 131-144.
    • (1987) Sociological Methodology 1987 , pp. 131-144
    • Rubin, D.B.1    Schenker, N.2
  • 33
    • 0002456793 scopus 로고
    • The role of pubertal processes
    • Feldman S, Elliott GR eds, Harvard University Press: Cambridge, MA
    • Brooks-Gunn J, Reiter EO. The role of pubertal processes. In At the Threshold, Feldman S, Elliott GR (eds). Harvard University Press: Cambridge, MA, 1985; 16-53.
    • (1985) At the Threshold , pp. 16-53
    • Brooks-Gunn, J.1    Reiter, E.O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.