78 citations · 93 across the 6 of their papers we have counts for
7 papers
Births are difficult to predict even with rich survey and full-population register data
Elizaveta Sivak, Emily M. Cantrell, Thomas Emery +109
Major life events have proven difficult to predict. Does this reflect limits of theory, data, and algorithms, or the large role of chance? We examine one outcome - having a child w…
A sample size heuristic for network scale-up studies
Nathaniel Josephs, Dennis M. Feehan, Forrest W. Crawford
The network scale-up method (NSUM) is a survey-based method for estimating the number of individuals in a hidden or hard-to-reach subgroup of a general population. In NSUM surveys,…
Estimating adult death rates from sibling histories: A network approach
Dennis M. Feehan, Gabriel M. Borges
Hundreds of millions of people live in countries that do not have complete death registration systems, meaning that most deaths are not recorded and critical quantities like life e…
Using an online sample to learn about an offline population
Dennis M. Feehan, Curtiss Cobb
Online data sources offer tremendous promise to demography and other social sciences, but researchers worry that the group of people who are represented in online datasets can be d…
Separating the signal from the noise: Evidence for deceleration in old-age death rates
Dennis M. Feehan
Widespread population aging has made it critical to understand death rates at old ages. However, studying mortality at old ages is challenging because the data are sparse: numbers…
The network survival method for estimating adult mortality: Evidence from a survey experiment in Rwanda
Dennis M. Feehan, Mary Mahy, Matthew J. Salganik
Adult death rates are a critical indicator of population health and wellbeing. Wealthy countries have high-quality vital registration systems, but poor countries lack this infrastr…
Generalizing the Network Scale-Up Method: A New Estimator for the Size of Hidden Populations
Dennis M. Feehan, Matthew J. Salganik
The network scale-up method enables researchers to estimate the size of hidden populations, such as drug injectors and sex workers, using sampled social network data. The basic sca…