ddd: Multiple reader and Multiple modality data

In BayesianFROC: FROC Analysis by Bayesian Approaches

Description

This is a subset of dd

This dataset has a different dimesion with respect to each moality, reader and confidence level. To confirm my program is correct, the author made this.

In the following I emphasis that this data set has distinct C,M,Q:

ddd$C

5 Confidence levels

ddd$M

3 modalities

ddd$Q

4 readers

So, all number, i.e. M,C,Q is different each other and this is the reason why the author made this dataset.

Details

The WAIC is finite which surprizes me, because a dataset dd has no finite WAIC. Why??

I forgot when I wrote this and what model was fitted to this data, so I am not sure the current model has finite WAIC.

Revised 2019 Nov. 21

Contents of dd

NL = 142 (Number of Lesions)

NI = 199 (Number of Images)

—————————————————————————————————

ModalityID	ReaderID	Confidence levels	No. of false alarms	No. of hits.
m	q	c	f	h
--------------	-------------	------------------------	-------------------	----------------
1	1	5	0	50
1	1	4	4	30
1	1	3	20	11
1	1	2	29	5
1	1	1	21	1
1	2	5	0	15
1	2	4	0	29
1	2	3	6	29
1	2	2	15	1
1	2	1	22	0
1	3	5	1	39
1	3	4	15	31
1	3	3	18	8
1	3	2	31	10
1	3	1	19	3
1	4	5	1	10
1	4	4	2	8
1	4	3	4	25
1	4	2	16	45
1	4	1	17	14
2	1	5	1	52
2	1	4	1	25
2	1	3	21	13
2	1	2	24	4
2	1	1	23	1
2	2	5	1	27
2	2	4	1	28
2	2	3	5	29
2	2	2	30	1
2	2	1	40	0
2	3	5	2	53
2	3	4	19	29
2	3	3	31	13
2	3	2	56	2
2	3	1	42	4
2	4	5	2	9
2	4	4	0	16
2	4	3	2	22
2	4	2	30	43
2	4	1	32	14
3	1	5	1	43
3	1	4	7	29
3	1	3	13	11
3	1	2	28	6
3	1	1	19	0
3	2	5	0	18
3	2	4	1	29
3	2	3	7	21
3	2	2	7	0
3	2	1	31	0
3	3	5	7	43
3	3	4	15	29
3	3	3	28	6
3	3	2	41	7
3	3	1	9	1
3	4	5	0	10
3	4	4	2	14
3	4	3	5	19
3	4	2	24	32
3	4	1	31	23

—————————————————————————————————

Author(s)

Issei Tsunoda [e-mail]

References

Nothing in 2018

Examples

####1#### ####2#### ####3#### ####4#### ####5#### ####6#### ####7#### ####8#### ####9####
#========================================================================================
#              make an object ddd from an object dd
#========================================================================================



           ddd  <-  data.frame(m=dd$m,q=dd$q,c=dd$c,h=dd$h,f=dd$f)

           dddd <-  ddd[ddd$m <4,]  #  Reduce the dataset ddd, i.e., dd

ddd <- list(
           m=dddd$m,
           q=dddd$q,
           c=dddd$c,
           h=dddd$h,
           f=dddd$f,
           NL=142,
           NI=199, # 2020 April 6
           C=max(dddd$c),
           M=max(dddd$m),
           Q=max(dddd$q)
        )

BayesianFROC documentation built on Jan. 23, 2022, 9:06 a.m.