Volume 43 - Article 43 | Pages 1263–1296  

Child mortality levels and trends: A new compositional approach

By Fatine Ezbakhe, Agustí Pérez Foguet

References

Aitchison, J. (1999). Logratios and natural laws in compositional data analysis. Mathematical Geology 31(5): 563‒580.

Weblink:
Download reference:

Aitchison, J. (1982). The statistical analysis of compositional data. Journal of the Royal Statistical Society: Series B (Methodological 44(2): 139‒160.

Download reference:

Alexander, M. and Alkema, L. (2018). Global estimation of neonatal mortality using a Bayesian hierarchical splines regression model. Demographic Research 38(15): 335‒372.

Weblink:
Download reference:

Alkema, L., Chao, F., You, D., Pedersen, J., and Sawyer, C.C. (2014). National, regional, and global sex ratios of infant, child, and under-5 mortality and identification of countries with outlying ratios: a systematic assessment. The Lancet Global Health 2(9): 521‒530.

Weblink:
Download reference:

Alkema, L. and New, J.R. (2014). Global estimation of child mortality using a Bayesian B-spline bias-reduction model. Annals of Applied Statistics 8(4): 2122‒2149.

Weblink:
Download reference:

Alkema, L., New, J.R., Pedersen, J., and You, D. (2014). Child mortality estimation 2013: An overview of updates in estimation methods by the United Nations Inter-agency Group for Child Mortality Estimation. PloS One 9(7): 101112.

Weblink:
Download reference:

Ayele, D.G., Zewotir, T.T., and Mwambi, H.G. (2015). Structured additive regression models with spatial correlation to estimate under-five mortality risk factors in Ethiopia. BMC Public Health 15(1): 268.

Weblink:
Download reference:

Bergeron-Boucher, M.P., Canudas-Romo, V., Oeppen, J., and Vaupel, J.W. (2017). Coherent forecasts of mortality with compositional data analysis. Demographic Research 37(17): 527‒566.

Weblink:
Download reference:

Bergeron-Boucher, M.P., Simonacci, V., Oeppen, J., and Gallo, M. (2018). Coherent modeling and forecasting of mortality patterns for subpopulations using multiway analysis of compositions: An application to Canadian provinces and territories. North American Actuarial Journal 22(1): 92‒118.

Weblink:
Download reference:

Bermejo, R., Firth, S., Hodge, A., Jimenez-Soto, E., and Zeck, W. (2015). Overcoming stagnation in the levels and distribution of child mortality: The case of the Philippines. PloS One 10(10): 0139458.

Weblink:
Download reference:

Brass, W. (1971). Methods for estimating fertility and mortality from limited and defective data. Chapel Hill: The University of North Carolina at Chapel Hill, International Program for Laboratories for Population Statistics.

Download reference:

Burstein, R., Wang, H., Reiner Jr, R.C., and Hay, S.I. (2018). Development and validation of a new method for indirect estimation of neonatal, infant, and child mortality trends using summary birth histories. PLoS Medicine 15(10): e1002687.

Weblink:
Download reference:

Carson, V., Tremblay, M.S., Chaput, J.P., and Chastin, S.F. (2016). Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses. Applied Physiology, Nutrition, and Metabolism 41(6): 294‒302.

Weblink:
Download reference:

Chao, F., You, D., Pedersen, J., Hug, L., and Alkema, L. (2018). National and regional under-5 mortality rate by economic status for low-income and middle-income countries: A systematic assessment. The Lancet Global Health 6(5): 535‒547.

Weblink:
Download reference:

Dlamini, W.J., Melesse, S.F., and Mwambi, H.G. (2017). Logistic regression additive model: Application to Tanzania demographic and health survey data. The Open Public Health Journal 10(1).

Weblink:
Download reference:

Dwyer-Lindgren, L., Kakungu, F., Hangoma, P., Ng, M., Wang, H., Flaxman, A.D., Masiye, F., and Gakidou, E. (2014). Estimation of district-level under-5 mortality in Zambia using birth history data, 1980–2010. Spatial and Spatio-Temporal Epidemiology 11: 89‒107.

Weblink:
Download reference:

Egozcue, J.J. and Pawlowsky-Glahn, V. (2005). Groups of parts and their balances in compositional data analysis. Mathematical Geology 37(7): 795‒828.

Weblink:
Download reference:

Egozcue, J.J., Pawlowsky-Glahn, V., Mateu-Figueras, G., and Barcelo-Vidal, C. (2003). Isometric logratio transformations for compositional data analysis. Mathematical Geology 35(3): 279‒300.

Weblink:
Download reference:

Ezbakhe, F. and Pérez-Foguet, A. (2019). Compositional analysis of child mortality (R code) [electronic resource].

Weblink:
Download reference:

Ezbakhe, F. and Pérez-Foguet, A. (2019). Estimating access to drinking water and sanitation: The need to account for uncertainty in trend analysis. Science of the Total Environment 696.

Weblink:
Download reference:

Fairclough, S.J., Dumuid, D., Taylor, S., Curry, W., McGrane, B., Stratton, G., Maher, C., and Olds, T. (2017). Fitness, fatness and the reallocation of time between children’s daily movement behaviours: An analysis of compositional data. International Journal of Behavioral Nutrition and Physical Activity 14(1): 64.

Weblink:
Download reference:

Golding, N., Burstein, R., Longbottom, J., Browne, A.J., Fullman, N., Osgood-Zimmerman, A., Earl, L., Bhatt, S., Cameron, E., Casey, D.C., and Dwyer-Lindgren, L. (2017). Mapping under-5 and neonatal mortality in Africa, 2000–15: A baseline analysis for the Sustainable Development Goals. The Lancet 390(10108): 2171‒2182.

Weblink:
Download reference:

Guillot, M., Gerland, P., Pelletier, F., and Saabneh, A. (2012). Child mortality estimation: A global overview of infant and child mortality age patterns in light of new empirical data. PLoS Medicine 9(8): e1001299.

Weblink:
Download reference:

Hastie, T. (2018). Gam: Generalized additive models. R package version 1.16 [electronic resource].

Weblink:
Download reference:

Hill, K., Brady, E., Zimmerman, L., Montana, L., Silva, R., and Amouzou, A. (2015). Monitoring change in child mortality through household surveys. PloS One 10(11): e0137713.

Weblink:
Download reference:

Hill, K., You, D., Inoue, M., and Oestergaard, M.Z. (2012). Child mortality estimation: Accelerated progress in reducing global child mortality, 1990–2010. PLoS Medicine 9(8): e1001303.

Weblink:
Download reference:

Hodge, A., Firth, S., Marthias, T., and Jimenez-Soto, E. (2014). Location matters: trends in inequalities in child mortality in Indonesia: Evidence from repeated cross-sectional surveys. PloS One 9(7): e103597.

Weblink:
Download reference:

Kirigia, J.M., Muthuri, R.D.K., Nabyonga-Orem, J., and Kirigia, D.G. (2015). Counting the cost of child mortality in the World Health Organization African region. BMC Public Health 15(1): 1103.

Weblink:
Download reference:

Korenromp, E.L., Arnold, F., Williams, B.G., Nahlen, B.L., and Snow, R.W. (2004). Monitoring trends in under-5 mortality rates through national birth history surveys. International Journal of Epidemiology 33(6): 1293‒1301.

Weblink:
Download reference:

Lesser, J. and Kalsbeek, W. (1999). Non-sampling error in environmental surveys. Journal of Agricultural, Biological, and Environmental Statistics 4(4): 473‒488.

Weblink:
Download reference:

Li, Z., Hsiao, Y., Godwin, J., Martin, B.D., Wakefield, J., and Clark, S.J. (2019). Changes in the spatial distribution of the under-five mortality rate: Small-area analysis of 122 DHS surveys in 262 subregions of 35 countries in Africa. PloS One 14(1): e0210645.

Weblink:
Download reference:

Lloyd, C.D., Pawlowsky-Glahn, V., and Egozcue, J.J. (2012). Compositional data analysis in population studies. Annals of the Association of American Geographers 102(6): 1251‒1266.

Weblink:
Download reference:

Mahapatra, P., Shibuya, K., Lopez, A.D., Coullare, F., Notzon, F.C., Rao, C., and Szreter, S. (2007). Civil registration systems and vital statistics: Successes and missed opportunities. The Lancet 370(9599): 1653‒1663.

Weblink:
Download reference:

Marcillo-Delgado, J.C., Ortego, M.I., and Pérez-Foguet, A. (2019). A compositional approach for modelling SDG7 indicators: Case study applied to electricity access. Renewable and Sustainable Energy Reviews 107: 388‒398.

Weblink:
Download reference:

Martín-Fernández, J.A., Barceló-Vidal, C., and Pawlowsky-Glahn, V. (2003). Dealing with zeros and missing values in compositional data sets using nonparametric imputation. Mathematical Geology 35(3): 253‒278.

Weblink:
Download reference:

Mercer, L., Wakefield, J., Pantazis, A., Lutambi, A., Masanja, H., and Clark, S. (2015). Small area estimation of child mortality in the absence of vital registration. The Annals of Applied Statistics 9(4): 1889‒1905.

Weblink:
Download reference:

Minnery, M., Firth, S., Hodge, A., and Jimenez-Soto, E. (2015). Neonatal mortality and inequalities in Bangladesh: Differential progress and sub-national developments. Maternal and Child Health Journal 19(9): 2038‒2047.

Weblink:
Download reference:

Oeppen, J. (2008). Coherent forecasting of multiple-decrement life tables: A test using Japanese cause of death data. Paper presented at the European Population Conference 2008, Barcelona, Spain, 2008.

Weblink:
Download reference:

Pawlowsky-Glahn, V. and Egozcue, J.J. (2006). Compositional data and their analysis: An introduction. Geological Society, London, Special Publications 264(1): 1‒10.

Weblink:
Download reference:

Pawlowsky-Glahn, V., Egozcue, J.J., and Tolosana-Delgado, R. (2015). Modeling and analysis of compositional data. London: John Wiley & Sons.

Download reference:

Pérez-Foguet, A., Giné-Garriga, R., and Ortego, M.I. (2017). Compositional data for global monitoring: The case of drinking water and sanitation. Science of the Total Environment 590: 554‒565.

Weblink:
Download reference:

Pezzulo, C., Bird, T., Utazi, E.C., Sorichetta, A., Tatem, A.J., Yourkavitch, J., and Burgert-Brucker, C.R. (2016). Geospatial modeling of child mortality across 27 countries in sub-Saharan Africa. USAID, DHS Spatial Analysis Reports 13.

Quispe-Coica, A. and Pérez-Foguet, A. (2020). Preprocessing alternatives for compositional data related to water, sanitation and hygiene. Science of The Total Environment 743: e140519.

Weblink:
Download reference:

Rajaratnam, J.K., Tran, L.N., Lopez, A.D., and Murray, C.J. (2010). Measuring under-five mortality: Validation of new low-cost methods. PLoS Medicine 7(4): e1000253.

Weblink:
Download reference:

Rutstein, S. and Rojas, G. (2006). Guide to DHS statistics. Calverton, MD: Macro ORC.

Weblink:
Download reference:

Rutstein, S.O. (1984). Infant and child mortality: Levels trends and demographic differentials: World Fertility Survey. Comparative Studies 43.

Download reference:

Salomon, J.A. and Murray, C.J.L. (2001). Compositional models for mortality by age, sex and cause. Geneva: World Health Organization, GPE Discussion Paper Series 11.

Download reference:

UN IGME (Inter-agency Group for Child Mortality Estimation) (2018). Explanatory Notes: Child mortality trend series to 2017. New York: United Nations.

UNESA (2011). Mortality estimates from major sample surveys: towards the design of a database for the monitoring of mortality levels and trends. New York: United Nations, Technical Paper 2011/2.

Download reference:

UNESA (United Nations Department of Economic and Social Affairs) (2019). Population Division: World population prospects 2019. New York: United Nations.

Weblink:
Download reference:

UNGA (2015). Transforming our world: The 2030 Agenda for Sustainable Development. New York: United Nations.

UNICEF (2017). Early experiences with the Equitable Impact Sensitive Tool – EQUIST. New York: UNICEF, Health System Strengthening Unit Working Paper.

UNICEF (2019). Levels and trends in child mortality report 2019. New York: UNICEF.

UNICEF (2006). Multiple Indicator Cluster Survey Manual 2005: Monitoring the Situation of children and women. UNICEF’s Division of Policy and Planning. New York: United Nations.

van den Boogaart, G.K., Tolosana-Delgado, R., and Bren, M. (2018). Compositions: Compositional data analysis [electronic resource].

Wakefield, J., Fuglstad, G.A., Riebler, A., Godwin, J., Wilson, K., and Clark, S.J. (2018). Estimating under-five mortality in space and time in a developing world context. Statistical Methods in Medical Research 28(9): 2614‒2634.

Weblink:
Download reference:

Wang, H., Liddell, C.A., Coates, M.M., Mooney, M.D., Levitz, C.E., Schumacher, A.E., Apfel, H., Iannarone, M., Phillips, B., Lofgren, K.T., and Sandar, L. (2014). Global, regional, and national levels of neonatal, infant, and under-5 mortality during 1990–2013: A systematic analysis for the Global Burden of Disease Study 2013. The Lancet 384(9947): 957‒979.

Weblink:
Download reference:

Wood, S.N. (2003). Thin plate regression splines. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 65(1): 95‒114.

Weblink:
Download reference:

Zlotnik, H. and Hill, K. (1981). The use of hypothetical cohorts in estimating demographic parameters under conditions of changing fertility and mortality. Demography 18(1): 103‒122.

Weblink:
Download reference:

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