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Hello All,
This is regarding outlier(s) observation in 2 treatment 2 sequence 4 period Replicated Crossover Study.
As per in the post, I have worked out outlier calculation on my data of 12 subjects.
Data:
A1: Test Formulation first administration; B1: Reference Formulation first administration
A2: Test Formulation second administration; B2: Reference Formulation second administration.
Calculated Residuals:
Above are Residual values for Subject Outlier, Subject by formulation Outlier, Test formulation outlier and Reference formulation Outlier respectively.
Grubb's Value 2.411559518
So, as Residual value of Subject 12, A1 (2.4466) is greater than Grubb's value 2.411559518, it can be considered as Outlier.
So, according to the suggested method in the paper above, is my calculation and result correct?
Edit: Tabulators changed to spaces and BBcoded; see also this post #6. [Helmut]
This is regarding outlier(s) observation in 2 treatment 2 sequence 4 period Replicated Crossover Study.
As per in the post, I have worked out outlier calculation on my data of 12 subjects.
Data:
Subject Seq PK Values
A1 A2 B1 B2
1 ABAB 1286.8 2469.1 259.9 69.8
3 ABAB 2718.0 839.2 2521.4 1427.9
6 ABAB 2094.3 1724.2 2448.7 2120.5
8 ABAB 1611.2 1940.5 1777.9 58.1
9 ABAB 1918.2 3773.1 411.5 2338.0
12 ABAB 29682.3 1405.9 3319.2 4370.1
2 BABA 1543.0 1118.1 2327.8 149.2
4 BABA 3690.7 952.7 902.7 996.5
5 BABA 2364.1 782.6 1914.7 1789.8
7 BABA 1279.1 1926.6 794.1 1135.5
10 BABA 3769.9 3190.9 3288.9 5244.2
11 BABA 1315.0 2088.0 1079.9 217.4A1: Test Formulation first administration; B1: Reference Formulation first administration
A2: Test Formulation second administration; B2: Reference Formulation second administration.
Calculated Residuals:
Subject Seq Residuals
sShi sSFhi sDThi sDRhi
1 ABAB -1.7575 1.9362 -1.0832 0.5320
3 ABAB 0.2143 -1.3030 0.6589 -0.0029
6 ABAB 0.5426 -1.2493 -0.2763 -0.3074
8 ABAB -1.0723 0.9247 -0.6391 2.0422
9 ABAB 0.1487 0.1226 -1.1069 -1.6561
12 ABAB 1.9241 -0.4312 2.4466 -0.6078
2 BABA -0.8265 -0.1165 -0.1546 1.5592
4 BABA -0.1650 -0.2546 0.8297 -0.4815
5 BABA 0.1115 -1.3952 0.5925 -0.3622
7 BABA -0.3054 -0.4608 -0.8524 -0.6670
10 BABA 1.4984 -1.2477 -0.3028 -0.7451
11 BABA -0.7975 0.3769 -0.9027 0.7386Above are Residual values for Subject Outlier, Subject by formulation Outlier, Test formulation outlier and Reference formulation Outlier respectively.
Grubb's Value 2.411559518
So, as Residual value of Subject 12, A1 (2.4466) is greater than Grubb's value 2.411559518, it can be considered as Outlier.
So, according to the suggested method in the paper above, is my calculation and result correct?
Edit: Tabulators changed to spaces and BBcoded; see also this post #6. [Helmut]
Complete thread:
- Outliers in Replicated Crossover Studypash413 2016-07-11 09:04 [Outliers]
![[Mix]](https://static.bebac.at/img/mix.png "open in Mix view")
- Which agency? Helmut 2016-07-11 12:56
- Which agency? pash413 2016-07-11 17:01
- Residuals and Critical value Calculation? pash413 2016-07-14 08:00
- Which agency? pash413 2016-07-11 17:01
- Outliers in Replicated Crossover Study DavidManteigas 2016-07-12 16:55
- Outliers in Replicated Crossover Study Ohlbe 2016-07-12 17:50
- Outliers in Replicated Crossover Study ElMaestro 2016-07-13 18:49
- I would stop Helmut 2016-07-13 19:56
- Outliers in Replicated Crossover Study pjs 2017-10-05 15:46
- Sample size for the FDA NTID BE decision d_labes 2017-10-05 17:25
- Which agency? Helmut 2016-07-11 12:56
Ing. Helmut Schütz