Cortexa research tool·biomedical·epidemiology

Epidemiology Bayesian

Compute post-test probability via Bayes' theorem given pre-test prevalence, test sensitivity, and specificity. Converts prevalence to pre-test odds, applies likelihood ratio (LR+ for positive test, LR- for negative test), and converts post-test odds back to probability. Useful for interpreting test results in clinical settings.

Livelast probed 2026-04-30 23:07Z· 100msCortexa

Status

The most recent probe succeeded. Safe to call from the agent today.

Last probed: 1d ago
Last success: 1d ago
Last latency: 100ms

Schema

JSON Schema the agent (or your API call) must match.

{
  "properties": {
    "operation": {
      "description": "Operation type",
      "enum": [
        "bayesian"
      ],
      "type": "string"
    },
    "prevalence": {
      "description": "Pre-test probability (disease prevalence) [0, 1]",
      "type": "number"
    },
    "sensitivity": {
      "description": "Test sensitivity P(test+ | disease+) [0, 1]",
      "type": "number"
    },
    "specificity": {
      "description": "Test specificity P(test- | disease-) [0, 1]",
      "type": "number"
    },
    "test_result": {
      "description": "Whether to compute post-test probability for a positive or negative result (default: positive)",
      "enum": [
        "positive",
        "negative"
      ],
      "type": "string"
    }
  },
  "required": [
    "operation",
    "prevalence",
    "sensitivity",
    "specificity"
  ],
  "type": "object"
}

Examples (1)

Default Epidemiology Bayesian call

public-safeinput

{
  "operation": "",
  "prevalence": 1,
  "sensitivity": 1,
  "specificity": 1
}

Expected response keys: success

Anonymous-safe example. Rate-limited; no sign-in required.

Identifiers

Catalog ID: tu_Epidemiology_bayesian
Tool name: Epidemiology_bayesian
Added: 2026-04-30 22:47Z
Tags: tooluniverse

Epidemiology Bayesian

Livelast probed 2026-04-30 23:07Z· 100msCortexa

Schema

JSON Schema the agent (or your API call) must match.

{ "properties": { "operation": { "description": "Operation type", "enum": [ "bayesian" ], "type": "string" }, "prevalence": { "description": "Pre-test probability (disease prevalence) [0, 1]", "type": "number" }, "sensitivity": { "description": "Test sensitivity P(test+ | disease+) [0, 1]", "type": "number" }, "specificity": { "description": "Test specificity P(test- | disease-) [0, 1]", "type": "number" }, "test_result": { "description": "Whether to compute post-test probability for a positive or negative result (default: positive)", "enum": [ "positive", "negative" ], "type": "string" } }, "required": [ "operation", "prevalence", "sensitivity", "specificity" ], "type": "object" }