missing_mechanismen.svg

def missing_mechanismen() -> str:
    b = [eyebrow(40, 40, "Missingness-Mechanismen · MCAR vs. MAR vs. MNAR")]
    cw, ch = 200, 180
    
    def draw_panel(x, title, subtitle, desc, missing_logic):
        parts = [rect(x, 80, cw, ch, r=10, fill=T["card"], stroke=T["rule"]),
                 txt(x + cw / 2, 105, title, size=13, fill=T["ink"], w=700, anchor="middle"),
                 txt(x + cw / 2, 122, subtitle, size=10, fill=T["mut"], anchor="middle")]
        
        # Draw 5 data rows
        y_start = 140
        for i in range(5):
            ry = y_start + i * 20
            is_missing = missing_logic(i)
            # Dot representing patients
            parts.append(rect(x + 20, ry, 60, 14, r=4, fill=T["soft"]))
            parts.append(txt(x + 25, ry + 11, f"Pat. {i+1}", size=9, fill=T["ink2"], mono=True))
            
            if is_missing:
                parts.append(rect(x + 90, ry, 90, 14, r=4, fill=T["deatht"]))
                parts.append(txt(x + 135, ry + 11, "NA (Fehlt)", size=9, fill=T["death"], w=700, anchor="middle"))
            else:
                parts.append(rect(x + 90, ry, 90, 14, r=4, fill=T["acct"]))
                parts.append(txt(x + 135, ry + 11, "Wert gemessen", size=9, fill=T["acc2"], anchor="middle"))
        
        parts.append(txt(x + cw / 2, 280, desc, size=10, fill=T["mut"], anchor="middle"))
        return "".join(parts)
        
    b.append(draw_panel(40, "MCAR", "Völlig zufällig (Random)", "Zufälliger Laborfehler", lambda i: i in (1, 3)))
    b.append(draw_panel(280, "MAR", "Systematisch (Beobachtet)", "Ältere werden eher gemessen", lambda i: i in (0, 1)))
    b.append(draw_panel(520, "MNAR", "Systematisch (Unbeobachtet)", "Sehr Kranke sterben vor Messung", lambda i: i in (3, 4)))
    
    return canvas(760, 310, "".join(b), "Missingness mechanisms comparison MCAR MAR MNAR")