sampling

Generalised Linear Models Incorporating Population Level Information: An Empirical Likelihood Based Approach

In many situations information from a sample of individuals can be supplemented by population level information on the relationship between a dependent variable and explanatory variables. Inclusion of the population level information can reduce bias …

Alleviating Linear Ecological Bias and Optimal Design with Subsample Data

We illustrate that combining ecological data with subsample data in situations in which a linear model is appropriate provides two main benefits. First, by including the individ- ual level subsample data, the biases that are associated with linear …

Goodness of Fit of Social Network Models

We present a systematic examination of a real network data set using maximum likelihood estimation for exponential random graph models as well as new procedures to evaluate how well the models fit the observed networks. These procedures compare …

Model-Based Combination of Spatial Information for Stream Networks

Evolutionary improvements in Geographic Information Systems (GIS) now routinely allow the management and mapping of spatial-temporal information. In response, the development of statistical models to combine information of different types and spatial …

Degree distributions in sexual networks: A framework for evaluating evidence

Objective: We present a likelihood based statistical framework to test the fit of power-law and alternative social process models for the degree distribution, and derive the sexually transmitted infection epidemic predictions from each model. Study …

Alleviating Linear Ecological Bias and Optimal Design with Subsample Data

In this paper, we illustrate that combining ecological data with subsample data in situations in which a linear model is appropriate provides three main benefits. First, by including the individual level subsample data, the biases associated with …

Improved Regression Estimation of a Multivariate Relationship with Population Data on the Bivariate Relationship

Regression coefficients specify the partial effect of a regressor on the dependent variable. Sometimes the bivariate or limited multivariate relationship of that regressor variable with the dependent variable is known from population-level data. We …

Generalised Linear Models Incorporating Population Level Information: An Empirical Likelihood Based Approach

In many situations information from a sample of individuals can be supplemented by population level information on the relationship between a dependent and explanatory variables. Inclusion of the population level information can reduce bias and …

Divergent Paths: Economic Mobility in the New American Labor Market

The promise of upward mobility—the notion that everyone has the chance to get ahead—is one of this country's most cherished ideals, a hallmark of the American Dream. But in today's volatile labor market, the tradition of upward mobility for all may …

Combining Registration-System and Survey Data to Estimate Birth Probabilities

With the widespread availability of event-history data, demographers have increasingly eschewed registration-system data in favor of survey data. We propose instead using survey and registration-system data in combination, via a constrained …