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A/KAI Kills What?

Task // O*NET task

High exposure · 1 occupations · 0 evidence

Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, log…

Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.

Task automation exposure

65/100

High exposure

Exposure basis

[v4/median] score 65 (raw 65 | A 85 / B 65 / C 65 | modality: other) Current AI and statistical software can execute complex longitudinal, mixed-effect, and regression analyses with high technical accuracy and speed, though human oversight remains necessary for study design interpretation and final clinical judgment. (capable: Python (statsmodels, lifelines), R (lme4, survival), SAS, and LLM-assisted code generation)

0 capabilities · 1 occupations

Basis

How exposure was assessed

[v4/median] score 65 (raw 65 | A 85 / B 65 / C 65 | modality: other) Current AI and statistical software can execute complex longitudinal, mixed-effect, and regression analyses with high technical accuracy and speed, though human oversight remains necessary for study design interpretation and final clinical judgment. (capable: Python (statsmodels, lifelines), R (lme4, survival), SAS, and LLM-assisted code generation)

Automation exposure65/100

How much of this task's output current AI can produce or substantially assist.

Strongest applicable capability0/100

Best current model strength on any capability this task requires.

This is an assessment of technical feasibility plus published evidence - not a forecast. Even fully automatable tasks are often not automated, because of cost, verification, liability, regulation or the fact that the task is bundled with other work.

Occupations

Occupations that perform this task (1)

Importance is the O*NET-style weight of this task within each occupation. The same task can be highly exposed but peripheral to one job and core to another.

Occupations performing Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, log…, with task importance and exposure.
OccupationIndustryImportanceRoleOccupation AI exposure
BiostatisticiansCross-industry4.4/5core12

Evidence

Evidence (0)

No evidence item is mapped to this specific task yet. The exposure figure above rests on the v1 editorial baseline and on the capability assessment, and should be treated as low-confidence. Pages with fewer than 0 evidence items are excluded from sitemaps.