| |
| """讀取 stats_fdr_results.csv，重算多重比較校正（Benjamini-Hochberg FDR 與 Bonferroni）。 |
| 用法：python compute_fdr.py （與 stats_fdr_results.csv 同目錄執行）""" |
| import csv, os, sys |
| try: |
| sys.stdout.reconfigure(encoding="utf-8", errors="replace") |
| except Exception: |
| pass |
|
|
| here = os.path.dirname(os.path.abspath(__file__)) |
| path = os.path.join(here, "..", "stats_fdr_results.csv") |
| rows = list(csv.DictReader(open(path, encoding="utf-8-sig"))) |
| ps = [(r["code"], r["indicator"], float(r["p_raw"])) for r in rows] |
| m = len(ps) |
| srt = sorted(range(m), key=lambda i: ps[i][2]) |
|
|
| |
| q = [0.0]*m; prev = 1.0 |
| for rank in range(m-1, -1, -1): |
| i = srt[rank]; prev = min(prev, ps[i][2]*m/(rank+1)); q[i] = prev |
| kmax = 0 |
| for rank in range(m): |
| if ps[srt[rank]][2] <= (rank+1)/m*0.05: kmax = rank+1 |
| bh = set(srt[r] for r in range(kmax)) |
| bonf = set(i for i in range(m) if ps[i][2]*m < 0.05) |
|
|
| raw = [i for i in range(m) if ps[i][2] < 0.05] |
| print(f"m={m} indicators; raw p<.05: {len(raw)}; BH-FDR survivors: {len(bh)}; Bonferroni: {len(bonf)}") |
| print("\nBH-FDR survivors (alpha=.05):") |
| for i in sorted(bh, key=lambda i: ps[i][2]): |
| print(f" {ps[i][0]:7s} {ps[i][1]:20s} p={ps[i][2]:.4f} q={q[i]:.4f}") |
|
|
