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Results: 1 to 20 of 98

Related Citations for PubMed (Select 22551995)

1.

Latent variable mixture modeling: a flexible statistical approach for identifying and classifying heterogeneity.

Schmiege SJ, Meek P, Bryan AD, Petersen H.

Nurs Res. 2012 May-Jun;61(3):204-12. doi: 10.1097/NNR.0b013e3182539f4c.

PMID:
22551995
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3.

An introduction to latent variable mixture modeling (part 1): overview and cross-sectional latent class and latent profile analyses.

Berlin KS, Williams NA, Parra GR.

J Pediatr Psychol. 2014 Mar;39(2):174-87. doi: 10.1093/jpepsy/jst084. Epub 2013 Nov 25.

4.

An introduction to latent variable mixture modeling (part 2): longitudinal latent class growth analysis and growth mixture models.

Berlin KS, Parra GR, Williams NA.

J Pediatr Psychol. 2014 Mar;39(2):188-203. doi: 10.1093/jpepsy/jst085. Epub 2013 Nov 25.

5.

Modern statistical modeling approaches for analyzing repeated-measures data.

Hayat MJ, Hedlin H.

Nurs Res. 2012 May-Jun;61(3):188-94. doi: 10.1097/NNR.0b013e31824f5f58.

PMID:
22551993
6.

Application of pattern mixture models to address missing data in longitudinal data analysis using SPSS.

Son H, Friedmann E, Thomas SA.

Nurs Res. 2012 May-Jun;61(3):195-203. doi: 10.1097/NNR.0b013e3182541d8c.

PMID:
22551994
7.

The London low emission zone baseline study.

Kelly F, Armstrong B, Atkinson R, Anderson HR, Barratt B, Beevers S, Cook D, Green D, Derwent D, Mudway I, Wilkinson P; HEI Health Review Committee.

Res Rep Health Eff Inst. 2011 Nov;(163):3-79.

PMID:
22315924
9.

Effects of long-term exposure to traffic-related air pollution on respiratory and cardiovascular mortality in the Netherlands: the NLCS-AIR study.

Brunekreef B, Beelen R, Hoek G, Schouten L, Bausch-Goldbohm S, Fischer P, Armstrong B, Hughes E, Jerrett M, van den Brandt P.

Res Rep Health Eff Inst. 2009 Mar;(139):5-71; discussion 73-89.

PMID:
19554969
10.
11.

Determinants of condom use by Australian secondary school students.

Donald M, Lucke J, Dunne M, O'Toole B, Raphael B.

J Adolesc Health. 1994 Sep;15(6):503-10.

PMID:
7811684
12.

Identifying trajectories of adolescent smoking: an application of latent growth mixture modeling.

Colder CR, Mehta P, Balanda K, Campbell RT, Mayhew KP, Stanton WR, Pentz MA, Flay BR.

Health Psychol. 2001 Mar;20(2):127-35.

PMID:
11315730
13.

Classifying developmental trajectories over time should be done with great caution: a comparison between methods.

Twisk J, Hoekstra T.

J Clin Epidemiol. 2012 Oct;65(10):1078-87. doi: 10.1016/j.jclinepi.2012.04.010. Epub 2012 Jul 20.

PMID:
22818946
14.

Respiratory symptoms due to active and passive smoking in junior secondary school students in Hong Kong.

Lam TH, Chung SF, Betson CL, Wong CM, Hedley AJ.

Int J Epidemiol. 1998 Feb;27(1):41-8.

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17.

Class Evolution Tree: a graphical tool to support decisions on the number of classes in exploratory categorical latent variable modeling for rehabilitation research.

Kriston L, Melchior H, Hergert A, Bergelt C, Watzke B, Schulz H, von Wolff A.

Int J Rehabil Res. 2011 Jun;34(2):181-5. doi: 10.1097/MRR.0b013e3283460e7d.

PMID:
21467944
18.

Using latent transition analysis in nursing research to explore change over time.

Roberts TJ, Ward SE.

Nurs Res. 2011 Jan-Feb;60(1):73-9. doi: 10.1097/NNR.0b013e3182001c63.

19.

Sexual communication is associated with condom use by sexually active incarcerated adolescents.

Rickman RL, Lodico M, DiClemente RJ, Morris R, Baker C, Huscroft S.

J Adolesc Health. 1994 Jul;15(5):383-8.

PMID:
7947852
20.

Cigarette smoking and self-reported health problems among U.S. high school seniors, 1982-1989.

Arday DR, Giovino GA, Schulman J, Nelson DE, Mowery P, Samet JM.

Am J Health Promot. 1995 Nov-Dec;10(2):111-6.

PMID:
10160044
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