Cortexa research tool·clinical·survival

Survival Cox Regression

Fit Cox proportional hazards regression model to assess effect of covariates on survival. Returns hazard ratios with 95% CI, p-values, and significance for each covariate. HR > 1 = increased hazard (worse survival); HR < 1 = decreased hazard (better survival). Use for: multivariate survival analysis, identifying prognostic biomarkers, adjusting for confounders.

Livelast probed 2026-04-30 23:07Z· 3972msCortexa

Status

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

Last probed: 1d ago
Last success: 1d ago
Last latency: 3972ms

Schema

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

{
  "properties": {
    "covariates": {
      "additionalProperties": {
        "items": {
          "type": "number"
        },
        "type": "array"
      },
      "description": "Dict mapping covariate name to array of values. E.g., {'age': [45, 62, ...], 'stage': [1, 2, ...]}",
      "type": "object"
    },
    "durations": {
      "description": "Observed time durations",
      "items": {
        "type": "number"
      },
      "type": "array"
    },
    "event_observed": {
      "description": "Event indicators (1=event, 0=censored)",
      "items": {
        "type": "integer"
      },
      "type": "array"
    },
    "operation": {
      "description": "Operation type",
      "enum": [
        "cox_regression"
      ],
      "type": "string"
    }
  },
  "required": [
    "operation",
    "durations",
    "event_observed",
    "covariates"
  ],
  "type": "object"
}

Examples (1)

Default Survival Cox Regression call

public-safeinput

{
  "durations": [],
  "event_observed": [],
  "operation": ""
}

Expected response keys: success

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

Identifiers

Catalog ID: tu_Survival_cox_regression
Tool name: Survival_cox_regression
Added: 2026-04-30 22:47Z
Tags: tooluniverse

Survival Cox Regression

Livelast probed 2026-04-30 23:07Z· 3972msCortexa

Schema

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

{ "properties": { "covariates": { "additionalProperties": { "items": { "type": "number" }, "type": "array" }, "description": "Dict mapping covariate name to array of values. E.g., {'age': [45, 62, ...], 'stage': [1, 2, ...]}", "type": "object" }, "durations": { "description": "Observed time durations", "items": { "type": "number" }, "type": "array" }, "event_observed": { "description": "Event indicators (1=event, 0=censored)", "items": { "type": "integer" }, "type": "array" }, "operation": { "description": "Operation type", "enum": [ "cox_regression" ], "type": "string" } }, "required": [ "operation", "durations", "event_observed", "covariates" ], "type": "object" }