Bayesian Statistics II MultiCalc® º£ÀÌÁö¾È Åë°è II MultiCalc®

Sensitivity = True_Pos / (True_Pos + False_Neg)
Specificity = True_Neg / (True_Neg + False_Pos)
Prevalence = (True_Pos + False_Neg) / (True_Pos + True_Neg + False_Pos + False_Neg)
Pos_Pred_Value = 100 * True_Pos / (True_Pos + False_Pos)
Neg_Pred_Value = 100 * True_Neg / (True_Neg + False_Neg)
LR_Pos = Sensitivity / (1-Specificity)
LR_Neg = (1-Sensitivity) / Specificity
Pre_Test_Odds = Prevalence / (1 - Prevalence)
Post_Test_Odds_Pos = Pre_Test_Odds * LR_Pos
Post_Test_Prob_Pos = Post_Test_Odds_Pos / (1 + Post_Test_Odds_Pos)
Post_Test_Odds_Neg = Pre_Test_Odds * LR_Neg
Post_Test_Prob_Neg = Post_Test_Odds_Neg / (1 + Post_Test_Odds_Neg)
False_Pos_Rate = 100 * False_Pos / (False_Pos + True_Neg)
False_Neg_Rate = 100 * False_Neg / (True_Pos + False_Neg)
Overall_Accuracy = 100 * (True_Pos + True_Neg) / (True_Pos + True_Neg + False_Pos + False_Neg)

ÀԷ°ª:

True_Pos
False_Pos
True_Neg
False_Neg

°á°ú°ª:

Sensitivity
Specificity
Prevalence
Pos_Pred_Value
Neg_Pred_Value
LR_Pos
LR_Neg
Pre_Test_Odds
Post_Test_Odds_Pos
Post_Test_Prob_Pos
Post_Test_Odds_Neg
Post_Test_Prob_Neg
False_Pos_Rate
False_Neg_Rate
Overall_Accuracy
 
Decimal Precision:


 


¹ýÀû °øÁö ¹× ¸éÃ¥

¸ÞµåĮũ 3000¿¡ Æ÷ÇÔµÇ°í ¸¸µé¾îÁø ¸ðµç Á¤º¸´Â ±³À°Àû ¸ñÀû¸¸À» À§ÇØ Á¦°øµË´Ï´Ù. ÀÌ Á¤º¸´Â ¾î¶°ÇÑ °Ç°­»óÀÇ ¹®Á¦³ª Áúº´À» Áø´ÜÇϰųª Ä¡·áÇϴµ¥ »ç¿ëµÇ¾î¼­´Â ¾ÈµË´Ï´Ù. ¿ì¸®´Â ÀÌ Á¤º¸¸¦ ¾î¶² ÇüÅÂ·Îµç °³°³ÀΠȯÀÚ¸¦ µ¹º¸´Â ÁöħÀ̳ª ÀÓ»óÀû ÆÇ´ÜÀ» ´ë½ÅÇÒ Àǵµ·Î ¸¸µéÁö ¾Ê¾Ò½À´Ï´Ù. ¹ýÀû °øÁö ¹× ¸éÃ¥ÀÇ Àü¹®À» º¸·Á¸é ¿©±â¸¦ Ŭ¸¯Çϼ¼¿ä.
 

MedCalc 3000 is Copyright © 1998-2005 Foundation Internet Services