You're reading from Building Statistical Models in Python

Product typeBook

Published inAug 2023

Reading LevelIntermediate

PublisherPackt

ISBN-139781804614280

Edition1st Edition

Languages

Python

Concepts

Statistics

Authors (3):

Huy Hoang Nguyen

Paul N Adams

Stuart J Miller

View More author details

What is censoring?

In the field of statistics, Censoring refers to a situation where the full extent or precise value of a measurement or observation is not entirely known. In Survival Analysis, this happens when we have information about sample observations and do not know when the given event happened, and is considered a key issue in survival analysis, distinguishing time-to-event analysis from the other statistical analyses mentioned in the previous chapters. There are several reasons why censoring happens; for example, a person withdraws from a study or exits prior to a follow-up, or the event in question has already happened before the study starts. The censored event is non-informative, that is, censoring causes study failure due to some reason other than failure time. In other words, failure caused by censoring is not related to the probability of an event occurring. Informative censoring happens when an observation is lost to follow-up because of research reasons. Three types...

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Building Statistical Models in Python

Published in: Aug 2023Publisher: PacktISBN-13: 9781804614280

Authors (3)

Huy Hoang Nguyen

Huy Hoang Nguyen is a Mathematician and a Data Scientist with far-ranging experience, championing advanced mathematics and strategic leadership, and applied machine learning research. He holds a Master's in Data Science and a PhD in Mathematics. His previous work was related to Partial Differential Equations, Functional Analysis and their applications in Fluid Mechanics. He transitioned from academia to the healthcare industry and has performed different Data Science projects from traditional Machine Learning to Deep Learning.
Read more about Huy Hoang Nguyen

Paul N Adams

Paul Adams is a Data Scientist with a background primarily in the healthcare industry. Paul applies statistics and machine learning in multiple areas of industry, focusing on projects in process engineering, process improvement, metrics and business rules development, anomaly detection, forecasting, clustering and classification. Paul holds a Master of Science in Data Science from Southern Methodist University.
Read more about Paul N Adams

Stuart J Miller

Stuart Miller is a Machine Learning Engineer with degrees in Data Science, Electrical Engineering, and Engineering Physics. Stuart has worked at several Fortune 500 companies, including Texas Instruments and StateFarm, where he built software that utilized statistical and machine learning techniques. Stuart is currently an engineer at Toyota Connected helping to build a more modern cockpit experience for drivers using machine learning.
Read more about Stuart J Miller

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What is censoring?

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