Truncation is a well-known phenomenon that may be present in observational studies of time-to-event data. While many methods exist to adjust for either left or right truncation, there are very few ...

This is a preview. Log in through your library . Abstract Capture-recapture methods are used to estimate the size of a population of interest which is only partially observed. In such studies, each ...

Doubly truncated data arise when the variable of interest is observable only if it falls between pre‐specified lower and upper bounds. This phenomenon poses significant challenges to statistical ...

This dissertation is motivated by a pediatric mental health care (PMHC) program in which records of mental health-related emergency department (MHED) visits were extracted from population-based ...

There are many ways to do linear regression in Python. We have already used the heavyweight Statsmodels library, so we will continue to use it here. It has much more functionality than we need, but it ...

The slope and intercepts we compute in a regression model are statistics calculated from the sample data. They are point estimates of corresponding parameters; namely, the slope and intercept in the ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this powerful machine learning technique used to predict a single numeric value. A regression problem is one ...