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Hukum Chandra

Biographic Data

ID269465
NAMEHukum Chandra
GIVEN NAMESHukum
FAMILY NAMEChandra
SIGNATURECHANDRA H
AFFILIATIONSIndian Agricultural Statistics Research Institute
ORCID0000-0002-8502-7354
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS5
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Re-scaling and small area estimation of behavioral risk survey guided by social vulnerability data

    Open Access•Shaina L Stacy, Hukum Chandra et al.•ARTICLE•BMC Public Health•2023

    These SAEs may be used in local public health efforts to target interventions and educational resources aimed at reducing cigarette smoking. Further, our new two-step methodology may be extended to small area estimation for other locations and health outcomes

  • Multivariate Small Area Modelling for Measuring Micro Level Earning Inequality

    Open Access•Saurav Guha, Hukum Chandra•ARTICLE•Social Indicators Research•2022•Cited by: 1•References: 1

  • Mapping changes in district level prevalence of childhood stunting in India 1998-2016

    Open Access•Swati Srivastava, Hukum Chandra et al.•ARTICLE•SSM - Population Health•2021

    The four rounds of National Family Health Survey (NFHS) conducted during 1992-93, 1998-99, 2005-06 and 2015-16 is main source to track the health and development related indicators including nutritional status of children at national and state level in India. Except NFHS-4, first three rounds of NFHS were unable to provides district-level estimates of childhood stunting due to the insufficient sample sizes. The small area estimation (SAE) techniq…

  • Measuring and Mapping Disaggregate Level Disparities in Food Consumption and Nutritional Status via Multivariate Small Area Modelling

    Open Access•Saurav Guha, Hukum Chandra•ARTICLE•Social Indicators Research•2021•Cited by: 1•References: 1

  • Estimation of Disaggregate-Level Poverty Incidence in Odisha Under Area-Level Hierarchical Bayes Small Area Model

    Open Access•Priyanka Anjoy, Hukum Chandra et al.•ARTICLE•Social Indicators Research•2019•Cited by: 2•References: 18

  • Estimating unmet need for contraception by district within Ghana

    Fiifi Amoako Johnson, Sabu S Padmada et al.•ARTICLE•Population Studies•2012•Cited by: 1•References: 16

    The importance of meeting the unmet need for contraception is nowhere more urgent than in the countries of sub-Saharan Africa, where the fertility decline is stalling and total unmet need exceeds 30 per cent among married women. In Ghana, where fertility levels vary considerably, demographic information at sub-national level is essential for building effective family planning programmes. We used small-area estimation techniques, linking data from…

  • Estimation of Disaggregate-Level Poverty Incidence in Odisha Under Area-Level Hierarchical Bayes Small Area Model

    Open Access•Priyanka Anjoy, Hukum Chandra et al.•ARTICLE•Social Indicators Research•2019•Cited by: 2•References: 18

  • Multivariate Small Area Modelling for Measuring Micro Level Earning Inequality

    Open Access•Saurav Guha, Hukum Chandra•ARTICLE•Social Indicators Research•2022•Cited by: 1•References: 1

  • Measuring and Mapping Disaggregate Level Disparities in Food Consumption and Nutritional Status via Multivariate Small Area Modelling

    Open Access•Saurav Guha, Hukum Chandra•ARTICLE•Social Indicators Research•2021•Cited by: 1•References: 1

  • Estimating unmet need for contraception by district within Ghana

    Fiifi Amoako Johnson, Sabu S Padmada et al.•ARTICLE•Population Studies•2012•Cited by: 1•References: 16

    The importance of meeting the unmet need for contraception is nowhere more urgent than in the countries of sub-Saharan Africa, where the fertility decline is stalling and total unmet need exceeds 30 per cent among married women. In Ghana, where fertility levels vary considerably, demographic information at sub-national level is essential for building effective family planning programmes. We used small-area estimation techniques, linking data from…

  • Estimating unmet need for contraception by district within Ghana

    Fiifi Amoako Johnson, Sabu S Padmada et al.•ARTICLE•Population Studies•2012•Cited by: 1•References: 16

    The importance of meeting the unmet need for contraception is nowhere more urgent than in the countries of sub-Saharan Africa, where the fertility decline is stalling and total unmet need exceeds 30 per cent among married women. In Ghana, where fertility levels vary considerably, demographic information at sub-national level is essential for building effective family planning programmes. We used small-area estimation techniques, linking data from…

  • Estimation of Disaggregate-Level Poverty Incidence in Odisha Under Area-Level Hierarchical Bayes Small Area Model

    Open Access•Priyanka Anjoy, Hukum Chandra et al.•ARTICLE•Social Indicators Research•2019•Cited by: 2•References: 18

  • Mapping changes in district level prevalence of childhood stunting in India 1998-2016

    Open Access•Swati Srivastava, Hukum Chandra et al.•ARTICLE•SSM - Population Health•2021

    The four rounds of National Family Health Survey (NFHS) conducted during 1992-93, 1998-99, 2005-06 and 2015-16 is main source to track the health and development related indicators including nutritional status of children at national and state level in India. Except NFHS-4, first three rounds of NFHS were unable to provides district-level estimates of childhood stunting due to the insufficient sample sizes. The small area estimation (SAE) techniq…

  • Measuring and Mapping Disaggregate Level Disparities in Food Consumption and Nutritional Status via Multivariate Small Area Modelling

    Open Access•Saurav Guha, Hukum Chandra•ARTICLE•Social Indicators Research•2021•Cited by: 1•References: 1

  • Multivariate Small Area Modelling for Measuring Micro Level Earning Inequality

    Open Access•Saurav Guha, Hukum Chandra•ARTICLE•Social Indicators Research•2022•Cited by: 1•References: 1

  • Re-scaling and small area estimation of behavioral risk survey guided by social vulnerability data

    Open Access•Shaina L Stacy, Hukum Chandra et al.•ARTICLE•BMC Public Health•2023

    These SAEs may be used in local public health efforts to target interventions and educational resources aimed at reducing cigarette smoking. Further, our new two-step methodology may be extended to small area estimation for other locations and health outcomes

Estimation (6 works) · Small area estimation (6 works) · Geography (5 works) · Demography (4 works) · Economics (4 works) · Medicine (4 works) · Population (4 works) · Statistics (4 works) · Census (3 works) · Demography (3 works)

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