Related Experiment Video
Updated: May 6, 2026

Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils
Published on: November 25, 2016
Radon risk assessment: The effect of voluntary sampling distributions and bias
1Department of Civil Engineering and Engineering and Public Policy, Carnegie Mellon University, 15213, Pittsburgh, PA, U.S.A..
Abstract:
This paper examines the problem of estimating indoor radon concentrations for radon-induced lung cancer risk assessment. Previous authors have identified various problems and possible corrections for the use of generally available radon screening measurements. Bias evident in data collected from volunteers is described; regional databases developed from voluntary data generally exhibit higher mean values than those obtained from random samples. Tools are developed to better characterize the differences in voluntary and random concentration distributions. Application is demonstrated using voluntary and random radon survey data for the state of North Dakota.
More Related Videos
09:33Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
Published on: December 23, 2022
10:33Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
Published on: September 4, 2017
Related Concept Videos
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Random Sampling Method
Sampling Distribution
Bias in Epidemiological Studies
Contaminants and Errors
Another key consideration is determining the appropriate number of samples required to...
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...