Introduction to analysis of censored and truncated data

Data in many settings are censored: we know only an inequality about some values - for example, that a particular value weighs less than the scale permits. In other settings, data are truncated: we aren't even recording the existence of certain types of values. There are some well-developed methods for analyzing these data; this is an introduction. It uses the chapter on this topic in Fox, Negrete, and Sosa, eds. (2015). Ecological statistics: contemporary theory & application. Oxford University Press.

[chandrikasaha]

some gentleman in the audience was raising very relevant questions

[TeotoniodeCarvalho]

Very clear and useful! I hope you keep posting these easy-to-understand videos.

[viniciusrodriguesdossantos]

Congratulations. Very good class. I would like to know, if any method consider the spatial distribution of censored data? If the censored data are close (in the space, in an area) to high uncensored data, can I supose that the replacement value of this data is higher than the replacement of a censored data close to uncensored data with low values?

[cma]

Thank you for the video. Can you introduce how to impute the left-censored data (with multiple limits of detection)?

[ghaidaabadabaan]

Very useful lecture and understandable videos.. best regard

[extramiles]

I tried to search 'censored and truncated experiment in the context of life testing problem' and ended up here, censored data and truncated data not experiment. Please let me know if the 2 hr lengthy video is useful. kindly reply