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On the definition of a confounder.

Annals of statistics

VanderWeele TJ, Shpitser I.
PMID: 25544784
Ann Stat. 2013 Feb;41(1):196-220. doi: 10.1214/12-aos1058.

The causal inference literature has provided a clear formal definition of confounding expressed in terms of counterfactual independence. The causal inference literature has not, however, produced a clear formal definition of a confounder, as it has given priority to...

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VanderWeele TJ, Shpitser I. On the definition of a confounder. Ann Stat. 2013;41(1):196-220doi: 10.1214/12-aos1058.
VanderWeele, T. J., & Shpitser, I. (2013). On the definition of a confounder. Annals of statistics, 41(1), 196-220. https://doi.org/10.1214/12-aos1058
VanderWeele, Tyler J, and Shpitser, Ilya. "On the definition of a confounder." Annals of statistics vol. 41,1 (2013): 196-220. doi: https://doi.org/10.1214/12-aos1058
VanderWeele TJ, Shpitser I. On the definition of a confounder. Ann Stat. 2013 Feb;41(1):196-220. doi: 10.1214/12-aos1058. PMID: 25544784; PMCID: PMC4276366.
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Sensitivity analysis for contagion effects in social networks.

Sociological methods & research

VanderWeele TJ.
PMID: 25580037
Sociol Methods Res. 2011 May;40(2):240-255. doi: 10.1177/0049124111404821.

Analyses of social network data have suggested that obesity, smoking, happiness and loneliness all travel through social networks. Individuals exert "contagion effects" on one another through social ties and association. These analyses have come under critique because of the...

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VanderWeele TJ. Sensitivity analysis for contagion effects in social networks. Sociol Methods Res. 2011;40(2):240-255doi: 10.1177/0049124111404821.
VanderWeele, T. J. (2011). Sensitivity analysis for contagion effects in social networks. Sociological methods & research, 40(2), 240-255. https://doi.org/10.1177/0049124111404821
VanderWeele, Tyler J. "Sensitivity analysis for contagion effects in social networks." Sociological methods & research vol. 40,2 (2011): 240-255. doi: https://doi.org/10.1177/0049124111404821
VanderWeele TJ. Sensitivity analysis for contagion effects in social networks. Sociol Methods Res. 2011 May;40(2):240-255. doi: 10.1177/0049124111404821. PMID: 25580037; PMCID: PMC4288024.
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Effect partitioning under interference in two-stage randomized vaccine trials.

Statistics & probability letters

Vanderweele TJ, Tchetgen Tchetgen EJ.
PMID: 21532912
Stat Probab Lett. 2011 Jul 01;81(7):861-869. doi: 10.1016/j.spl.2011.02.019.

In the presence of interference, the exposure of one individual may affect the outcomes of others. We provide new effect partitioning results under interferences that express the overall effect as a sum of (i) the indirect (or spillover) effect...

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Vanderweele TJ, Tchetgen Tchetgen EJ. Effect partitioning under interference in two-stage randomized vaccine trials. Stat Probab Lett. 2011;81(7):861-869doi: 10.1016/j.spl.2011.02.019.
Vanderweele, T. J., & Tchetgen Tchetgen, E. J. (2011). Effect partitioning under interference in two-stage randomized vaccine trials. Statistics & probability letters, 81(7), 861-869. https://doi.org/10.1016/j.spl.2011.02.019
Vanderweele, Tyler J, and Tchetgen Tchetgen, Eric J. "Effect partitioning under interference in two-stage randomized vaccine trials." Statistics & probability letters vol. 81,7 (2011): 861-869. doi: https://doi.org/10.1016/j.spl.2011.02.019
Vanderweele TJ, Tchetgen Tchetgen EJ. Effect partitioning under interference in two-stage randomized vaccine trials. Stat Probab Lett. 2011 Jul 01;81(7):861-869. doi: 10.1016/j.spl.2011.02.019. PMID: 21532912; PMCID: PMC3084013.
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Mediation and spillover effects in group-randomized trials: a case study of the 4Rs educational intervention.

Journal of the American Statistical Association

Vanderweele TJ, Hong G, Jones SM, Brown JL.
PMID: 23997375
J Am Stat Assoc. 2013 Jun 01;108(502):469-482. doi: 10.1080/01621459.2013.779832.

Peer influence and social interactions can give rise to spillover effects in which the exposure of one individual may affect outcomes of other individuals. Even if the intervention under study occurs at the group or cluster level as in...

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Vanderweele TJ, Hong G, Jones SM, et al. Mediation and spillover effects in group-randomized trials: a case study of the 4Rs educational intervention. J Am Stat Assoc. 2013;108(502):469-482doi: 10.1080/01621459.2013.779832.
Vanderweele, T. J., Hong, G., Jones, S. M., & Brown, J. L. (2013). Mediation and spillover effects in group-randomized trials: a case study of the 4Rs educational intervention. Journal of the American Statistical Association, 108(502), 469-482. https://doi.org/10.1080/01621459.2013.779832
Vanderweele, Tyler J, et al. "Mediation and spillover effects in group-randomized trials: a case study of the 4Rs educational intervention." Journal of the American Statistical Association vol. 108,502 (2013): 469-482. doi: https://doi.org/10.1080/01621459.2013.779832
Vanderweele TJ, Hong G, Jones SM, Brown JL. Mediation and spillover effects in group-randomized trials: a case study of the 4Rs educational intervention. J Am Stat Assoc. 2013 Jun 01;108(502):469-482. doi: 10.1080/01621459.2013.779832. PMID: 23997375; PMCID: PMC3753117.
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Controlled direct and mediated effects: definition, identification and bounds.

Scandinavian journal of statistics, theory and applications

VanderWeele TJ.
PMID: 25309023
Scand Stat Theory Appl. 2011 Sep;38(3):551-563. doi: 10.1111/j.1467-9469.2010.00722.x.

Results are given which provide bounds for controlled direct effects when the no-unmeasured-confounding assumptions required for the identification of these effects do not hold. Previous results concerning bounds for controlled direct effects rely on monotonicity relationships between the treatment,...

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VanderWeele TJ. Controlled direct and mediated effects: definition, identification and bounds. Scand Stat Theory Appl. 2011;38(3):551-563doi: 10.1111/j.1467-9469.2010.00722.x.
VanderWeele, T. J. (2011). Controlled direct and mediated effects: definition, identification and bounds. Scandinavian journal of statistics, theory and applications, 38(3), 551-563. https://doi.org/10.1111/j.1467-9469.2010.00722.x
VanderWeele, Tyler J. "Controlled direct and mediated effects: definition, identification and bounds." Scandinavian journal of statistics, theory and applications vol. 38,3 (2011): 551-563. doi: https://doi.org/10.1111/j.1467-9469.2010.00722.x
VanderWeele TJ. Controlled direct and mediated effects: definition, identification and bounds. Scand Stat Theory Appl. 2011 Sep;38(3):551-563. doi: 10.1111/j.1467-9469.2010.00722.x. PMID: 25309023; PMCID: PMC4193506.
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Causal Inference Under Multiple Versions of Treatment.

Journal of causal inference

VanderWeele TJ, Hernán MA.
PMID: 25379365
J Causal Inference. 2013 May 01;1(1):1-20. doi: 10.1515/jci-2012-0002.

No abstract available.

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VanderWeele TJ, Hernán MA. Causal Inference Under Multiple Versions of Treatment. J Causal Inference. 2013;1(1):1-20doi: 10.1515/jci-2012-0002.
VanderWeele, T. J., & Hernán, M. A. (2013). Causal Inference Under Multiple Versions of Treatment. Journal of causal inference, 1(1), 1-20. https://doi.org/10.1515/jci-2012-0002
VanderWeele, Tyler J, and Hernán, Miguel A. "Causal Inference Under Multiple Versions of Treatment." Journal of causal inference vol. 1,1 (2013): 1-20. doi: https://doi.org/10.1515/jci-2012-0002
VanderWeele TJ, Hernán MA. Causal Inference Under Multiple Versions of Treatment. J Causal Inference. 2013 May 01;1(1):1-20. doi: 10.1515/jci-2012-0002. PMID: 25379365; PMCID: PMC4219328.
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Empirical Research on Factors Related to the Subjective Well-Being of Chinese Urban Residents.

Social indicators research

Wang P, Vanderweele TJ.
PMID: 21731171
Soc Indic Res. 2011 May;101(3):447-459. doi: 10.1007/s11205-010-9663-y.

Data from the China General Social Survey are used in order to investigate the factors that are related to the subjective well-being of Chinese urban residents. Factors predicting higher subjective well-being include female gender, high-income class, marriage, employment, fashionable...

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Wang P, Vanderweele TJ. Empirical Research on Factors Related to the Subjective Well-Being of Chinese Urban Residents. Soc Indic Res. 2011;101(3):447-459doi: 10.1007/s11205-010-9663-y.
Wang, P., & Vanderweele, T. J. (2011). Empirical Research on Factors Related to the Subjective Well-Being of Chinese Urban Residents. Social indicators research, 101(3), 447-459. https://doi.org/10.1007/s11205-010-9663-y
Wang, Peigang, and Vanderweele, Tyler J. "Empirical Research on Factors Related to the Subjective Well-Being of Chinese Urban Residents." Social indicators research vol. 101,3 (2011): 447-459. doi: https://doi.org/10.1007/s11205-010-9663-y
Wang P, Vanderweele TJ. Empirical Research on Factors Related to the Subjective Well-Being of Chinese Urban Residents. Soc Indic Res. 2011 May;101(3):447-459. doi: 10.1007/s11205-010-9663-y. PMID: 21731171; PMCID: PMC3128377.
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Why and When "Flawed" Social Network Analyses Still Yield Valid Tests of no Contagion.

Statistics, politics, and policy

VanderWeele TJ, Ogburn EL, Tchetgen Tchetgen EJ.
PMID: 25419506
Stat Politics Policy. 2012 Feb 01;3(1):2151-1050. doi: 10.1515/2151-7509.1050.

Lyons (2011) offered several critiques of the social network analyses of Christakis and Fowler, including issues of confounding, model inconsistency, and statistical dependence in networks. Here we show that in some settings, social network analyses of the type employed...

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VanderWeele TJ, Ogburn EL, Tchetgen Tchetgen EJ. Why and When "Flawed" Social Network Analyses Still Yield Valid Tests of no Contagion. Stat Politics Policy. 2012;3(1):2151-1050doi: 10.1515/2151-7509.1050.
VanderWeele, T. J., Ogburn, E. L., & Tchetgen Tchetgen, E. J. (2012). Why and When "Flawed" Social Network Analyses Still Yield Valid Tests of no Contagion. Statistics, politics, and policy, 3(1), 2151-1050. https://doi.org/10.1515/2151-7509.1050
VanderWeele, Tyler J, et al. "Why and When "Flawed" Social Network Analyses Still Yield Valid Tests of no Contagion." Statistics, politics, and policy vol. 3,1 (2012): 2151-1050. doi: https://doi.org/10.1515/2151-7509.1050
VanderWeele TJ, Ogburn EL, Tchetgen Tchetgen EJ. Why and When "Flawed" Social Network Analyses Still Yield Valid Tests of no Contagion. Stat Politics Policy. 2012 Feb 01;3(1):2151-1050. doi: 10.1515/2151-7509.1050. PMID: 25419506; PMCID: PMC4240520.
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Showing 1 to 8 of 8 entries