Sampling bias

Sampling bias and logistic models

In a regression model, the joint distribution for each finite sample of units is determined by a function px.y/ depending only on the list of covariate values xD .x.u1/,. . .,x.un// on the sampled units. No random sampling of units is involved. In biological work, random sampling is frequently unavoidable, in which case the joint distribution p.y,x/ depends on the sampling scheme. Regression mo...

Nutcracker, neurosis, or sampling bias?

Sampling Bias in BitTorrent Measurements

Real-world measurements play an important role in understanding the characteristics and in improving the operation of BitTorrent, which is currently a popular Internet application. Much like measuring the Internet, the complexity and scale of the BitTorrent network make a single, complete measurement impractical. While a large number of measurements have already employed diverse sampling techni...

Sampling Bias in Population Studies

Modiied versions of the life time distribution are often used in survival analysis. The modi-cations depend on how we choose individuals for the study and on the assumptions on the behavior of the population. A rigorous point process description of the Lexis diagram is used to make the sampling mechanisms and the preconditions transparent. The point process description gives a framework to hand...

Towards Quantifying Sampling Bias in Network Inference

Relational inference leverages relationships between entities and links in a network to infer information about the network from a small sample. This method is often used when global information about the network is not available or difficult to obtain. However, how reliable is inference from a small labelled sample? How should the network be sampled, and what effect does it have on inference e...