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Research on neighborhood effects on health in the United States: A systematic review of study characteristics

Social science & medicine (1982), 2016-11, Vol.168, p.16-29

2016

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Assessment of heterogeneous Head Start treatment effects on cognitive and social-emotional outcomes

Scientific reports, 2022-04, Vol.12 (1), p.6411-6411, Article 6411

2022

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Small area variation in child undernutrition across 640 districts and 543 parliamentary constituencies in India

Scientific reports, 2021-02, Vol.11 (1), p.4558-4558, Article 4558

2021

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Maternal Height-standardized Prevalence of Stunting in 67 Low- and Middle-income Countries

Journal of Epidemiology, 2022/07/05, Vol.32(7), pp.337-344

2022

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Association of maternal history of neonatal death with subsequent neonatal death across 56 low- and middle-income countries

Scientific reports, 2021-10, Vol.11 (1), p.19919-19919, Article 19919

2021

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Trends in underweight, stunting, and wasting prevalence and inequality among children under three in Indian states, 1993–2016

Scientific reports, 2021-07, Vol.11 (1), p.14137-14137, Article 14137

2021

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Explaining Within- vs Between-Population Variation in Child Anthropometry and Hemoglobin Measures in India: A Multilevel Analysis of the National Family Health Survey 2015-2016

Journal of epidemiology, 2020-11, Vol.30 (11), p.485-496

2020

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Adult weight gain and adiposity-related cancers: a dose-response meta-analysis of prospective observational studies

JNCI : Journal of the National Cancer Institute, 2015-02, Vol.107 (2)

2015

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Socio-economic patterning of food consumption and dietary diversity among Indian children: evidence from NFHS-4

European journal of clinical nutrition, 2019-10, Vol.73 (10), p.1361-1372

2019

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Relative importance of 13 correlates of child stunting in South Asia: Insights from nationally representative data from Afghanistan, Bangladesh, India, Nepal, and Pakistan

Social science & medicine (1982), 2017-08, Vol.187, p.144-154

2017

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The association between institutional delivery and neonatal mortality based on the quality of maternal and newborn health system in India

Scientific reports, 2022-04, Vol.12 (1), p.6220-6220, Article 6220

2022

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The impact of improved data quality on the prevalence estimates of anthropometric measures using DHS datasets in India

Scientific reports, 2021-05, Vol.11 (1), p.10671-10671, Article 10671

2021

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The “average” treatment effect: A construct ripe for retirement. A commentary on Deaton and Cartwright

Social science & medicine (1982), 2018-08, Vol.210, p.77-82

2018

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Socioeconomic and geographic inequalities in antenatal and postnatal care components in India, 2016-2021

Scientific reports, 2024-05, Vol.14 (1), p.10221-10221, Article 10221

2024

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Understanding the association between stunting and child development in low- and middle-income countries: Next steps for research and intervention

Social science & medicine (1982), 2017-11, Vol.193, p.101-109

2017

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Maternal Caffeine Consumption during Pregnancy and Risk of Low Birth Weight: A Dose-Response Meta-Analysis of Observational Studies

PloS one, 2015-07, Vol.10 (7), p.e0132334

2015

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Assessing associational strength of 23 correlates of child anthropometric failure: An econometric analysis of the 2015-2016 National Family Health Survey, India

Social science & medicine (1982), 2019-10, Vol.238, p.112374, Article 112374

2019

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Temporal change in prevalence of BMI categories in India: patterns across States and Union territories of India, 1999-2021

BMC public health, 2024-05, Vol.24 (1), p.1322-1322, Article 1322

2024

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The relative importance of macro versus micro geographical scale in explaining suicide variation in Seoul, South Korea 2014–2016

PloS one, 2022-09, Vol.17 (9), p.e0273866-e0273866

2022

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Patterning of individual variability in neurocognitive health among South African women exposed to childhood maltreatment

Scientific reports, 2021-03, Vol.11 (1), p.6669-11, Article 6669

2021

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Association between the type of provider and Cesarean section delivery in India: A socioeconomic analysis of the National Family Health Surveys 1999, 2006, 2016

PloS one, 2021-03, Vol.16 (3), p.e0248283-e0248283

2021

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Contribution of socioeconomic factors to the variation in body-mass index in 58 low-income and middle-income countries: an econometric analysis of multilevel data

The Lancet global health, 2018-07, Vol.6 (7), p.e777-e786

2018

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Geographic Variation in Household and Catastrophic Health Spending in India: Assessing the Relative Importance of Villages, Districts, and States, 2011-2012

The Milbank quarterly, 2018-03, Vol.96 (1), p.167-206

2018

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Socioeconomic inequality in child health outcomes in India: analyzing trends between 1993 and 2021

International journal for equity in health, 2024-07, Vol.23 (1), p.1-11, Article 149

2024

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Heterogeneity in adult anthropometry by socioeconomic factors: Indian National Family Health Survey 2006 and 2016

European journal of clinical nutrition, 2020-06, Vol.74 (6), p.953-960

2020

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Research on neighborhood effects on health in the United States: A systematic review of study characteristics

Assessment of heterogeneous Head Start treatment effects on cognitive and social-emotional outcomes

Small area variation in child undernutrition across 640 districts and 543 parliamentary constituencies in India

Maternal Height-standardized Prevalence of Stunting in 67 Low- and Middle-income Countries

Association of maternal history of neonatal death with subsequent neonatal death across 56 low- and middle-income countries

Trends in underweight, stunting, and wasting prevalence and inequality among children under three in Indian states, 1993–2016

Explaining Within- vs Between-Population Variation in Child Anthropometry and Hemoglobin Measures in India: A Multilevel Analysis of the National Family Health Survey 2015-2016

Adult weight gain and adiposity-related cancers: a dose-response meta-analysis of prospective observational studies

Socio-economic patterning of food consumption and dietary diversity among Indian children: evidence from NFHS-4

Relative importance of 13 correlates of child stunting in South Asia: Insights from nationally representative data from Afghanistan, Bangladesh, India, Nepal, and Pakistan

The association between institutional delivery and neonatal mortality based on the quality of maternal and newborn health system in India

The impact of improved data quality on the prevalence estimates of anthropometric measures using DHS datasets in India

The “average” treatment effect: A construct ripe for retirement. A commentary on Deaton and Cartwright

Socioeconomic and geographic inequalities in antenatal and postnatal care components in India, 2016-2021

Understanding the association between stunting and child development in low- and middle-income countries: Next steps for research and intervention

Maternal Caffeine Consumption during Pregnancy and Risk of Low Birth Weight: A Dose-Response Meta-Analysis of Observational Studies

Assessing associational strength of 23 correlates of child anthropometric failure: An econometric analysis of the 2015-2016 National Family Health Survey, India

Temporal change in prevalence of BMI categories in India: patterns across States and Union territories of India, 1999-2021

The relative importance of macro versus micro geographical scale in explaining suicide variation in Seoul, South Korea 2014–2016

Patterning of individual variability in neurocognitive health among South African women exposed to childhood maltreatment

Association between the type of provider and Cesarean section delivery in India: A socioeconomic analysis of the National Family Health Surveys 1999, 2006, 2016

Contribution of socioeconomic factors to the variation in body-mass index in 58 low-income and middle-income countries: an econometric analysis of multilevel data

Geographic Variation in Household and Catastrophic Health Spending in India: Assessing the Relative Importance of Villages, Districts, and States, 2011-2012

Socioeconomic inequality in child health outcomes in India: analyzing trends between 1993 and 2021

Heterogeneity in adult anthropometry by socioeconomic factors: Indian National Family Health Survey 2006 and 2016

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