Kaplan–Meier 생존분석 · log-rank
검열 반영 생존율 · 중앙생존 · risk table · log-rank
Kaplan–Meier 생존분석 · log-rank
검열 반영 생존율 · 중앙생존 · risk table · log-rank
모든 계산은 이 브라우저에서 수행됩니다열 순서: subject_id, group, time, event_1_censored_0
직접 편집 표
| subject_id | group | time | event_1_censored_0 | |
|---|---|---|---|---|
CSV / TSV 붙여넣기
분석 결과
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| 군 | 개체 수 | 사건 수 | 검열 수 | 중앙생존기간 | 최종 생존율 |
|---|---|---|---|---|---|
| Control | 4 | 3 | 1 | 10 | 0.25 |
| Treatment | 4 | 2 | 2 | 20 | 0 |
⚠ Kaplan–Meier와 log-rank는 비정보성 검열을 가정합니다. 검열 양상과 사전 정의된 평가변수를 확인하세요.
Data requirements
Enter subject ID, group, non-negative time and event status (1=event, 0=censored).
subject_id, group, time, event_1_censored_0Review before reporting
연구용 도구입니다. 원자료, 제외 기준과 해석은 승인된 분석 계획에 따라 검증하세요.
Check raw observations, excluded rows, model assumptions and study-specific acceptance criteria before using the result.
Transparent analysis
Inputs are processed locally in your browser. Review the calculation policy, limitations and verification approach before reporting a result.
Read the methodology →EVIDENCE & REVIEW
A result you can audit.
Reviewed 12 August 2026Censoring and risk-set logic review complete
Implementation check
The analysis keeps event status explicit, orders event times and displays group curves with at-risk context rather than reducing the data to a single median.
Interpretation boundary
Kaplan-Meier estimates rely on defensible time origins and censoring assumptions. Small risk sets and late-tail estimates should be interpreted cautiously; clinical decisions require validated statistical workflows.
Method references
Methods to Analyse Time-to-Event Data: The Kaplan-Meier Survival CurveIndian Journal of Anaesthesia / PMCKaplan-Meier estimation, censoring and comparison context.
Survival analysis: Part I — analysis of time-to-eventBritish Journal of Cancer / PMCInterpretation of survival functions, censoring and common limitations.
REFERENCE VALIDATION CASE
Two-subject survival steps
Kaplan–Meier product-limit estimate at each event time.
Inputs
- Two subjects at risk initially
- One event at day 2
- One event at day 4
- No censoring
Expected result
- S(0) = 1.00
- S(2) = 0.50
- S(4) = 0.00
Scope: A deterministic estimator check; inferential interpretation requires study context.
Review and correction history
12 August 2026 · Internal implementation review
Censoring and risk-set logic review complete. Formula behavior, unit handling, limitations and linked references were checked internally.
Independent reviewer: Not yet published. A name, relevant qualification, date and exact scope will appear here only after a real review is completed.
Source-informed and internally checked; independent scientific or regulatory validation is not claimed. Research use only.