Methods for Constructing and Assessing Propensity Scores

Garrido, Melissa M.; Kelley, Melinda S.; Paris, B A Julia; Roza, B A Katherine; Meier, Diane E.; Morrison, R. Sean; Aldridge, Melissa

doi:10.1111/1475-6773.12182

Cited by 712 publications

(564 citation statements)

References 47 publications

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“…In this approach-recommended when using weighted complex survey data-non-treated individuals are weighted by their distance in propensity score from treated individuals within a bandwidth (0.06) of the propensity score. [33][34][35] After matching, covariate balance (as indicated by standardized mean differences of G10 %) was achieved ( Supplementary Figures 1 and 2). Finally, we ran a surveyweighted, design-based logistic regression model within each matched sample to estimate adolescents' log odds of psychological distress as a function of their perceived or objectively-measured neighborhood violence and associated propensity score, to account for residual confounding.…”

Section: Statistical Analysesmentioning

confidence: 99%

Perceived and Objectively-Measured Neighborhood Violence and Adolescent Psychological Distress

et al. 2016

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Prior research examining links between neighborhood violence and mental health has not been able to establish whether it is perceived levels of neighborhood violence, or actual levels of violent crime, that matter most for adolescents' psychological well-being. In this study, we ascertained both perceived neighborhood safety and objectively-measured neighborhood-level violent crime (using a novel geospatial index of police-reported crime incidents) for 4464 adolescent respondents from the California Health Interview Survey (CHIS 2011(CHIS -2014. We used propensity score-matched regression models to examine associations between these measures and CHIS adolescents' symptoms of psychological distress. We found that adolescents who perceived their neighborhood to be unsafe were two times more likely than those who perceived their neighborhood to be safe to report serious psychological distress (OR = 2.4, 95 % CI = 1.20, 4.96). Adolescents who lived in areas objectively characterized by high levels of violent crime, however, were no more likely than their peers in safer areas to be distressed (OR = 1.41; 95 % CI = 0.60, 3.32). Our results suggest that, at the population level, adolescents' perceptions of neighborhood violence, rather than objective levels of neighborhood crime, are most salient for their mental health.

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Section: Statistical Analysesmentioning

confidence: 99%

Perceived and Objectively-Measured Neighborhood Violence and Adolescent Psychological Distress

et al. 2016

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“…To address this issue of selection and to better understand the direct effects of IHVPE on families with parents who would have never been married, I use two approaches. First, I use inverse treatment propensity score weights to create balanced pre-IHVPE and post-IHVPE samples within the unmarried group following procedures described in Imbens (2004) and Garrido et al (2014). Second, I perform a bounding exercise following Lee (2009).…”

Section: Effects On Father Involvement and Child Well-being In Fammentioning

confidence: 99%

Signing Up New Fathers: Do Paternity Establishment Initiatives Increase Marriage, Parental Investment, and Child Well-Being?

Rossin‐Slater

2017

American Economic Journal: Applied Economics

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With nearly half of US births occurring out of wedlock, understanding how parents navigate their relationship options is important. This paper examines the consequences of a large exogenous change to parental relationship contract options on parental behavior and child well-being. Identification comes from the staggered timing of state reforms that substantially lowered the cost of legal paternity establishment. I show that the resulting increases in paternity establishment are partially driven by reductions in parental marriage. Although unmarried fathers become more involved with their children along some dimensions, the net effects on father involvement and child well-being are negative or zero. (JEL I31, J12, J13, K36)

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“…The characteristics of these patients are described in Table I. The balance of co-variables and small standardized differences (<0.25) were good for all co-variables (19).…”

Section: Resultsmentioning

confidence: 91%

A Comparative Effectiveness Study of Two Oral Chemotherapy Drugs (UFT vs. Capecitabine) in Neoadjuvant Concurrent Chemoradiotherapy for Patients with Locally Advanced Rectal Cancer

Chien¹,

Chen²,

Wang³

et al. 2016

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Methods for Constructing and Assessing Propensity Scores

Abstract: Propensity scores are one useful tool for accounting for observed differences between treated and comparison groups. Careful testing of propensity scores is required before using them to estimate treatment effects.

Cited by 712 publications

References 47 publications

Perceived and Objectively-Measured Neighborhood Violence and Adolescent Psychological Distress

Perceived and Objectively-Measured Neighborhood Violence and Adolescent Psychological Distress

Signing Up New Fathers: Do Paternity Establishment Initiatives Increase Marriage, Parental Investment, and Child Well-Being?

A Comparative Effectiveness Study of Two Oral Chemotherapy Drugs (UFT vs. Capecitabine) in Neoadjuvant Concurrent Chemoradiotherapy for Patients with Locally Advanced Rectal Cancer

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