缅北强奸

The under-five mortality rate (U5MR) is a key barometer of the health of a nation. Unfortunately, many people living in low- and middle-income countries are not covered by civil registration systems. This makes estimation of the U5MR, particularly at the subnational level, difficult. In this talk, I will describe models that have been developed to produce the official United Nations (UN) subnational U5MR estimates in 22 countries. Estimation is based on household surveys, which use stratified, two-stage cluster sampling. I will describe a range of area- and unit-level models and describe the rationale for the modeling we carry out. Data sparsity in time and space is a key challenge, and smoothing models are vital. I will discuss the advantages and disadvantages of discrete and continuous spatial models, in the context of estimation at the scale at which health interventions are made. Other issues that will be touched upon include: design-based versus model-based inference; adjustments for HIV epidemics; the inclusion of so-called indirect (summary birth history) data; reproducibility through software availability; benchmarking; how to deal with incomplete geographical data; and working with the UN to produce estimates.

Dr Jon Wakefield received his bachelors and doctoral degrees from the University of Nottingham. He held faculty positions in the Department of Mathematics at the University of Nottingham (1989-1990), the Department of Mathematics at Imperial College, London (1990-1996), and the Department of Epidemiology and Public Health, also at Imperial College (1996-1999). He was a member of the Small Area Health Statistics Unit (SAHSU) at the Department of Epidemiology and Public Health at Imperial College. In 1999, he left the latter, to join the faculty of the Departments of Statistics and Biostatistics at the University of Washington.

Dr Wakefield has conducted research on: population pharmacokinetic and pharmacodynamic modeling, ecological inference, disease mapping, epidemiological study design, cluster detection, genetic epidemiology, small area estimation and space-time modeling of infectious disease data. He spent two sabbaticals at the International Agency for Research on Cancer (IARC) in Lyon, France. He is an affiliate member in the Vaccine and Infectious Division at the Fred Hutchinson Cancer Research Center, an Affiliate with the Center for Studies in Demography and Ecology (CSDE) and a Research Affiliate with the Center for Statistics and the Social Sciences (CSSS). For the past 10 years, Dr Wakefield been working on methods for modeling health and demographic outcomes in a low and medium incomes (LMIC) setting, and in particular on small-area estimation. Since 2016, Dr Wakefield has been collaborating with the United Nations (UN) Inter-agency group for Child Mortality Estimation (IGME) on methods for subnational estimation of child mortality. Since October, 2018, he has been on the Technical Advisory Group (TAG) for IGME. He is also a member of the UN TAGs for maternal mortality and stillbirths estimation. The team he leads has just produced the first UN subnational estimates of under-5 mortality in 22 countries.

In 2013, 鈥淏ayesian and Frequentist Regression Methods鈥� was published by Springer. He edited the book 鈥淪patial Epidemiology, which was published by Oxford University Press in 2000. Dr Wakefield has taught 16 different graduate classes at the University of Washington, and has taught short courses on Bayesian Statistics, Statistical Genetics, Spatial Methods, Small Area Estimation and Age-Period-Cohort modeling in Australia, France, Mexico, Spain, Switzerland, the UK, and various locations in the US, including in Seattle as part of the Summer Institutes. He has also taught in UN child mortality estimation workshops in Quito, Johannesburg and Blantyre. He has advised 21 PhD students to completion. Dr Wakefield has previously been an Associate Editor for Statistical Science, Biometrics, Journal of the American Statistical Association, Genetics, Journal of the Royal Statistical Society, Series C and Biostatistics and a moderator for arXiv. Dr Wakefield has served on two National Academies of Science panels: 鈥淐ancer Risk close to Nuclear Facilities鈥�, and 鈥淢ethods for Integrating Multiple Data Sources to Improve Crop Estimates鈥�. He has received the Guy medal in Bronze from the Royal Statistical Society, is a Fellow of the American Statistical Association and is a former chair of the Department of Statistics at the University of Washington.

Meeting ID: 939 8331 3215

Passcode: 096952

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