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Items: 1 to 20 of 83

1.
2.

SPSS and SAS procedures for estimating indirect effects in simple mediation models.

Preacher KJ, Hayes AF.

Behav Res Methods Instrum Comput. 2004 Nov;36(4):717-31.

PMID:
15641418
3.

SAS macros for testing statistical mediation in data with binary mediators or outcomes.

Jasti S, Dudley WN, Goldwater E.

Nurs Res. 2008 Mar-Apr;57(2):118-22. doi: 10.1097/01.NNR.0000313479.55002.74.

PMID:
18347484
4.

Comparison of methods for constructing confidence intervals of standardized indirect effects.

Cheung MW.

Behav Res Methods. 2009 May;41(2):425-38. doi: 10.3758/BRM.41.2.425.

PMID:
19363183
5.

SPSS and SAS programming for the testing of mediation models.

Dudley WN, Benuzillo JG, Carrico MS.

Nurs Res. 2004 Jan-Feb;53(1):59-62. Review.

PMID:
14726778
6.

Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations.

Hayes AF, Matthes J.

Behav Res Methods. 2009 Aug;41(3):924-36. doi: 10.3758/BRM.41.3.924.

PMID:
19587209
7.

Demonstration and evaluation of a method for assessing mediated moderation.

Morgan-Lopez AA, MacKinnon DP.

Behav Res Methods. 2006 Feb;38(1):77-87.

PMID:
16817516
8.

Quantifying and Testing Indirect Effects in Simple Mediation Models When the Constituent Paths Are Nonlinear.

Hayes AF, Preacher KJ.

Multivariate Behav Res. 2010 Aug 6;45(4):627-60. doi: 10.1080/00273171.2010.498290.

PMID:
26735713
9.

Two-condition within-participant statistical mediation analysis: A path-analytic framework.

Montoya AK, Hayes AF.

Psychol Methods. 2017 Mar;22(1):6-27. doi: 10.1037/met0000086. Epub 2016 Jun 30.

PMID:
27362267
10.

Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros.

Valeri L, Vanderweele TJ.

Psychol Methods. 2013 Jun;18(2):137-50. doi: 10.1037/a0031034. Epub 2013 Feb 4. Erratum in: Psychol Methods. 2013 Dec;18(4):474.

11.

An Index and Test of Linear Moderated Mediation.

Hayes AF.

Multivariate Behav Res. 2015;50(1):1-22. doi: 10.1080/00273171.2014.962683.

PMID:
26609740
12.
13.

Mediation analysis via potential outcomes models.

Albert JM.

Stat Med. 2008 Apr 15;27(8):1282-304.

PMID:
17691077
14.
15.

Statistical mediation analysis with a multicategorical independent variable.

Hayes AF, Preacher KJ.

Br J Math Stat Psychol. 2014 Nov;67(3):451-70. doi: 10.1111/bmsp.12028. Epub 2013 Nov 5.

PMID:
24188158
16.

A simple unified approach for estimating natural direct and indirect effects.

Lange T, Vansteelandt S, Bekaert M.

Am J Epidemiol. 2012 Aug 1;176(3):190-5. doi: 10.1093/aje/kwr525. Epub 2012 Jul 10.

PMID:
22781427
17.

"Proportion explained": a causal interpretation for standard measures of indirect effect?

Hafeman DM.

Am J Epidemiol. 2009 Dec 1;170(11):1443-8. doi: 10.1093/aje/kwp283. Epub 2009 Oct 22.

PMID:
19850625
18.

FIRE: an SPSS program for variable selection in multiple linear regression analysis via the relative importance of predictors.

Lorenzo-Seva U, Ferrando PJ.

Behav Res Methods. 2011 Mar;43(1):1-7. doi: 10.3758/s13428-010-0043-y.

PMID:
21287104
19.

Estimation of causal mediation effects for a dichotomous outcome in multiple-mediator models using the mediation formula.

Wang W, Nelson S, Albert JM.

Stat Med. 2013 Oct 30;32(24):4211-28. doi: 10.1002/sim.5830. Epub 2013 May 6.

20.

When moderation is mediated and mediation is moderated.

Muller D, Judd CM, Yzerbyt VY.

J Pers Soc Psychol. 2005 Dec;89(6):852-63.

PMID:
16393020

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