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statistical analysis

Producing Statistics about Hard-to-Reach Populations through Adaptive and Network Sampling

The number of people who had heart disease related surgeries, the percentage of Americans who take anti-depressants; the number of women who opt for natural childbirth, these are health statistics you likely hear about in the news frequently. But how do public health researchers obtain data about hard-to-reach, marginalized populations such as the homeless at-risk of contracting specific things like HIV/AIDS?

Producing statistics about hidden, underserved populations was one of the topics explored by Dr. Steve Thompson, professor of statistics at Simon Fraser University during the 25th annual Morris Hansen Lecture hosted by USDA’s National Agricultural Statistics Service (NASS). The lecture series was established by the Washington Statistical Society to honor Morris Hansen and his pioneering contributions to survey sampling and related statistical methods during his long and distinguished service at the U.S. Census Bureau. More than 200 people attended this year’s lecture at USDA’s Jefferson Auditorium in Washington.