4. Regression with Missing Ys: An Improved Strategy for Analyzing Multiply Imputed Data

Hippel, Paul T. von

doi:10.1111/j.1467-9531.2007.00180.x

Cited by 1,287 publications

(833 citation statements)

References 27 publications

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“…Our multiple imputation model considers all analyzed variables in addition to all outcome variables. We used original unimputed values for our outcome variables, as suggested by the literature [32].…”

Section: Analysis Planmentioning

confidence: 99%

Child Overweight and Obesity in Shanghai, China: Contextualizing Chinese Socioeconomic and Gender Differences

et al. 2017

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Purpose Childhood overweight and obesity is on the rise in China and in Chinese cities in particular. The aim of this study is to explore the extent of income differences in childhood overweight in Shanghai, China, and examine demographic, social, and behavioral explanations for these differences. Methods Using the 2014 Child Well-Being Study of Shanghai, China-a survey that included extensive contextual information on children and their families in China's most populous city, prevalence rates and adjusted odds ratios of child overweight and obesity at age 7 were calculated by income tercile controlling for a wide variety of sociodemographic variables. Results District aggregate income increases the odds of child overweight/obesity, but only for boys. In contrast, rural hukou status was associated with lower odds of overweight/obesity for girls. Conclusions Boys at age 7 are more likely to be overweight and obese than girls. District income further increases this likelihood for boys, while rural hukou status decreases this likelihood for girls, suggesting that preferences for boys and thinness ideals for girls may play a role in the income patterning of childhood overweight and obesity.

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Section: Analysis Planmentioning

confidence: 99%

Child Overweight and Obesity in Shanghai, China: Contextualizing Chinese Socioeconomic and Gender Differences

et al. 2017

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“…Second, I recode the missing values as dummy variables. Third, I impute missing values on the independent variables using multiple imputed chained equations (Royston 2004;2005;von Hippel 2007). Because the results were not sensitive to the method of handling the missing data used, I report only the results from multiple imputed chained equations.…”

Section: Analytic Strategymentioning

confidence: 99%

Food insecurity and housing instability in vulnerable families

King

2016

Rev Econ Household

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Reducing the prevalence of household food insecurity has been a long-standing objective of the federal government. Previous research has found many negative consequences of food insecurity for families and households but has not examined its relationship with housing instability. Using longitudinal data from the Fragile Families and Child Wellbeing Study, difference-in-difference models show that food insecurity is associated with housing instability. The association remains statistically significant after accounting for potential selection and unobserved heterogeneity using propensity score matching and excluding households that experienced prior housing instability from the sample. Examining potential mediating factors, I find that material hardship explains about half of this association. These findings suggest that maintaining a strong social safety net would reduce the risk that families experience material hardship and housing instability, which may also reduce the risk of homelessness.

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“…The imputed values of the dependent variable did not provide additional error. 37 Therefore, we calculated our primary outcomes by using the 3 key variables (quit status, CO reading, and days since the last cigarette) with their imputed values for observed self-classified and 7-day prevalence quit rates from an average of 5 imputation series, which allowed for an SD 5% wider than if we had used an infinite number of imputations.…”

Section: Analysesmentioning

confidence: 99%

Effects of Physical Activity on Teen Smoking Cessation

et al. 2011

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OBJECTIVE: To understand the influence of physical activity on teen smoking-cessation outcomes. METHODS: Teens (N = 233; 14–19 years of age) from West Virginia high schools who smoked >1 cigarette in the previous 30 days were included. High schools with >300 students were selected randomly and assigned to brief intervention (BI), Not on Tobacco (N-O-T) (a proven teen cessation program), or N-O-T plus a physical activity module (N-O-T+FIT). Quit rates were determined 3 and 6 months after baseline by using self-classified and 7-day point prevalence quit rates, and carbon monoxide validation was obtained at the 3-month follow-up evaluation. RESULTS: Trends for observed and imputed self-classified and 7-day point prevalence rates indicated that teens in the N-O-T+FIT group had significantly higher cessation rates compared with those in the N-O-T and BI groups. Effect sizes were large. Overall, girls quit more successfully with N-O-T compared with BI (relative risk [RR]: >∞) 3 months after baseline, and boys responded better to N-O-T+FIT than to BI (RR: 2–3) or to N-O-T (RR: 1–2). Youths in the N-O-T+FIT group, compared with those in the N-O-T group, had greater likelihood of cessation (RR: 1.48) at 6 months. The control group included an unusually large proportion of participants in the precontemplation stage at enrollment, but there were no significant differences in outcomes between BI and N-O-T (z = 0.94; P = .17) or N-O-T+FIT (z = 1.12; P = .13) participants in the precontemplation stage. CONCLUSIONS: Adding physical activity to N-O-T may enhance cessation success, particularly among boys.

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4. Regression with Missing Ys: An Improved Strategy for Analyzing Multiply Imputed Data

Cited by 1,287 publications

References 27 publications

Child Overweight and Obesity in Shanghai, China: Contextualizing Chinese Socioeconomic and Gender Differences

Child Overweight and Obesity in Shanghai, China: Contextualizing Chinese Socioeconomic and Gender Differences

Food insecurity and housing instability in vulnerable families

Effects of Physical Activity on Teen Smoking Cessation

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