Missing data? Survive Survivorship Bias with Qlik - Climber

How come some airplanes don’t return from the battlefield? Are the success stories of Bill Gates, Jeff Bezos and Mark Zuckerberg the best learning experiences? And how could people in 1987  think that cats were more likely to survive if they fell from a higher floor? All these questions have one factor in common: they suffer from "survivorship bias".
Our Business Intelligence (BI) solutions that offers all the information you need to drive your organisation forward through fact-based decision making.

Correcting bias due to missing stage data in the non-parametric estimation of stage-specific net survival for colorectal cancer using multiple imputation - UCL Discovery

Immortal time bias for life-long conditions in retrospective observational studies using electronic health records, BMC Medical Research Methodology

Missing data? Survive Survivorship Bias with Qlik - Climber

Data Mining Rocket-Powered Data Science

Missing data can be the best data, by Paul May

Analysis of the association between prospectively collected immune-related adverse events and survival in patients with solid tumor treated with immune-checkpoint blockers, taking into account immortal-time bias - ScienceDirect

Have you seen the Climber Custom Report for Qlik Sense?

Updated] 100+ Top Data Science Interview Questions, by Abhishek Sharma

Uncategorized – Ben Podgursky

The Climber Custom Report Extension for Qlik Sense

Missing data can be the best data, by Paul May

Missing data, Information and Survivorship bias - Advanced Data Science perspectives

You're Missing What You're Missing — The Dangers of Survivorship Bias, by Aidan Kenealy