Length-biased data analysis and survival modeling have become pivotal in accurately interpreting time-to-event data, particularly in epidemiology and clinical research. Traditional survival analyses ...

Biased sampling occurs frequently in economics, epidemiology, and medical studies either by design or due to data collecting mechanism. Failing to take into account the sampling bias usually leads to ...

In this special guest feature, Sinan Ozdemir, Director of Data Science at Directly, points out how algorithmic bias has been one of the most talked-about issues in AI for years, yet it remains one of ...

Artificial intelligence is a game-changer. There’s no denying that. But it’s important to recognize that AI has the potential to change the game in ways both good and bad. Biased inputs will always ...

Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...

Bias is an inherent part of the human experience. It’s the silent filter created by our lived experiences, a lens through which our everyday decisions pass. It shapes us. And often, we’re not even ...

The biggest-ever study of real people’s mortgage data shows that predictive tools used to approve or reject loans are less accurate for minorities. We already knew that biased data and biased ...