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Research Methods · N-of-1 designs · continued

Washout with a one-week half-life: the arithmetic — does this still hold? posts 31–46

This is a continuation of a long topic, addressed by post number rather than by page. Start at post 1 · go to the accepted answer.

JM
j.mwangiTL4 Moderator22 Jun 2026#31

An n of one tells you about one person, which is the person you are most interested in. That is the whole value and it is not nothing.

I am reporting what happened, not recommending it.

4 likes 1mo
SC
s.coelhoTL224 Jun 2026#32

Small correction to my own earlier position on Washout. I had the units the wrong way round, which changes the conclusion by an order of magnitude and therefore changes it entirely.

0 likes 1mo
MS
m.strand_rphTL3Pharmacist27 Jun 2026#33

Post #31 and I disagree about the size of the effect, not about the direction.

Where I have landed on Washout, having got it wrong once in public: the direction is clear, the magnitude is not, and anyone quoting a precise magnitude has borrowed it from somewhere that did not measure it.

25 likes 1mo
DE
d.eriksenTL229 Jun 2026#34
a.finnegan_rd, post #1: Washout with a one-week half-life: the arithmetic — does this still hold? — that is the question, and I have not found it answered plainly anywhere I have looked. Washout: setting out the arithmetic in full, because I have had to do it twice and I would rather nobody else did. Every step is shown. If the answer is wrong the error will… Go to post

Taking post #31 at face value and following it one step further.

Stopping rules: decide in advance when you will stop measuring (after a defined duration, after a defined number of measurements, or after a defined condition is met). Not deciding in advance means stopping when the result satisfies you, which is bias.

12 likes in reply to #1 29d
JN
j.nwosuTL21 Jul 2026 · edited#35

Adding the boring version of Washout, because the interesting version keeps getting posted and the boring one is usually right.

Check the ordinary explanations, in order, and stop when one of them accounts for what you are seeing. Most of the time the second one does.

1 like 26d
BP
b.petrovTL24 Jul 2026#36

Order effects matter. If you always try A before B, you cannot separate the treatment from the sequence, and alternating is cheap.

That matches what I was told, which is not the same as knowing it.

0 likes 24d
NH
n.haddadTL26 Jul 2026#37
n.norgaard, post #5: Washout periods: after stopping a medication, how long does it take for the effect to wash out? For compounds with a week-long half-life, roughly a month is needed to reach baseline. Using that washout period in a before-after design strengthens the inference. I would put this at better than even and not much better. Go to post

Washout periods: after stopping a medication, how long does it take for the effect to wash out? For compounds with a week-long half-life, roughly a month is needed to reach baseline. Using that washout period in a before-after design strengthens the inference.

The variance between people here is larger than the effect being discussed.

18 likes in reply to #5 22d
NS
n.stanescuTL28 Jul 2026#38
d.eriksen, post #34: Taking post #31 at face value and following it one step further. Stopping rules: decide in advance when you will stop measuring (after a defined duration, after a defined number of measurements, or after a defined condition is met). Not deciding in advance means stopping when the result satisfies you, which is bias. Go to post

That is a cleaner way of putting what I was circling around.

8 likes in reply to #34 19d
JT
j.teixeiraTL211 Jul 2026#39
z.vogel, post #23: This follows post #22 rather than contradicting it. A note on how Washout gets discussed rather than on Washout itself: the confident posts get the replies and the careful ones get ignored, and the careful ones have been right more often. Go to post

Helpful, and easy to find again, which is half of what a good reply is.

11 likes in reply to #23 17d
G
GDashwoodTL3Regular13 Jul 2026#40

What I would want before treating Washout as settled: the method, the sample, and whether anyone tried to find the opposite result. Two of the three are usually missing.

3 likes 15d
N
NardoneTL2Member15 Jul 2026#41
a.finnegan_rd, post #1: Washout with a one-week half-life: the arithmetic — does this still hold? — that is the question, and I have not found it answered plainly anywhere I have looked. Washout: setting out the arithmetic in full, because I have had to do it twice and I would rather nobody else did. Every step is shown. If the answer is wrong the error will… Go to post

Post #40 is right about the mechanism and I think understates the practical bit.

Washout is well covered in the tag pages, and the older discussions are better than the recent ones because they were argued out properly. Worth twenty minutes before adding to this one.

0 likes in reply to #1 12d
LV
l.vermeulenTL218 Jul 2026#42
baseline_peak, post #10: Answering the question post #6 raises rather than the one it answers. The useful distinction on Washout is between what was measured and what was inferred from it. Both end up in the same sentence and only one of them has error bars. Go to post

It does not tell you about anybody else, which is why aggregating these accounts does not produce evidence of the kind people want it to.

This is the sort of thing that ought to be settled and apparently is not.

3 likes in reply to #10 10d
CE
crossover_entryTL3Regular20 Jul 2026#43

Reading back through the Washout threads from last year, the same three questions come up every time and only one of them has ever been answered properly. That seems like a documentation gap rather than a knowledge gap.

10 likes 8d
LL
l.lundgrenTL222 Jul 2026#44

On post #42 — agreed on the reasoning, with one qualification.

The reason Washout keeps being re-asked is that the answer is conditional and people quote it without the condition. It is not that the answer is unknown.

23 likes 6d
T
TamburelloTL2Member25 Jul 2026#45

Confirming post #44 from a second method, which matters more than confirming it from a second person.

Sample size in n-of-1: you are the sample. Repeated measurements (weekly weighings, daily mood scores) increase the power to detect a real effect even though n=1.

0 likes 3d
MN
m.nwosuTL227 Jul 2026#46
c.silva, post #7: Post #5 is the version of this I will quote in future. One addition. Order effects matter. If you always try A before B, you cannot separate the treatment from the sequence, and alternating is cheap. I have said this before in a thread nobody could find, so it is worth repeating. Go to post

I had written a reply contradicting post #42 and deleted it. Here is what survived.

My experience of Washout contradicts the reply above. I am posting it as a data point rather than as a refutation, because one person's experience is exactly that.

1 like in reply to #7 1d

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