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Deterministic sensitivity analysis
CJ
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Clarieke Jonker
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Updated Oct 9, 2020
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00:01 - 00:02
hi, everyone.
00:03 - 00:06
In a previous knowledge clip, you learned about what the
00:06 - 00:09
deterministic sensitivity analysis face today.
00:10 - 00:12
I will tell you more about how to present ourselves
00:12 - 00:17
off the DNA on behalf of crude to, as you
00:17 - 00:20
already know, that these days away to address uncertainty.
00:20 - 00:24
And it's about analyzing the sensitivity off one or more
00:24 - 00:25
para meters on the outcome.
00:26 - 00:26
Carrie Wells.
00:28 - 00:31
There are different types off ESAs in this knowledge ship.
00:32 - 00:34
We will give you an example off one way, two
00:34 - 00:36
way and three way the ESA and how to present
00:37 - 00:40
them. We will also provide examples to make it easier
00:41 - 00:45
to understand in a one radius A.
00:46 - 00:49
The one refers to the affected only one para meter
00:49 - 00:50
exchanged at the time.
00:51 - 00:55
It is important, however, to remember that one way that
00:55 - 00:57
he is a is often done various times.
00:59 - 01:02
This is because researchers want to know which para meter.
01:03 - 01:05
That's the biggest influence on the out home.
01:07 - 01:09
The para meters are not changed at the same time,
01:10 - 01:10
but separately.
01:12 - 01:15
Then they are put together in a tornado diagram or
01:15 - 01:15
a table.
01:17 - 01:21
Through this tornado diagram or table, it becomes clear toe
01:22 - 01:25
what extent a surgeon change off the perimeter changes the
01:25 - 01:28
outcome variable often the Isar.
01:31 - 01:35
So let's say we are doing an economic evaluation on
01:35 - 01:37
the vaccination for her peace among the elderly.
01:39 - 01:40
Been looking at cost and effects.
01:41 - 01:50
We obtained a Nizer off 2000 364 correct $23,646 for
01:50 - 01:51
quality gains.
01:52 - 01:55
Now we want to conduct a one way DSA.
01:56 - 02:00
Some of the parameters we take into account our vaccination
02:00 - 02:04
rates in discounting rates, the vaccine price and the duration
02:04 - 02:05
off the vaccine.
02:06 - 02:08
We start with changing the vaccination rates.
02:10 - 02:18
At the initial analysis, our Isar waas 23,646 here we
02:19 - 02:22
assumed the vaccination rate 20% off the entire population.
02:24 - 02:27
In our one way DSA we're going to see what
02:27 - 02:30
the Isar is if we assume a higher and lower
02:30 - 02:37
vaccination rates often when doing a DSA a fix change
02:37 - 02:42
is used 10% higher or lower for all para meters.
02:43 - 02:46
After this, we repeat this for the other para meters.
02:47 - 02:51
It is important to choose a fella's amount of change
02:51 - 02:55
in the perimeter based on literature and not on arbitrary
02:56 - 03:02
one. When displaying our tornado diagram, we often put the
03:02 - 03:06
para meter with the highest effects change on the ice
03:06 - 03:09
air at the top, the second we put seconds.
03:10 - 03:15
And Joel this Verceles any form off a tornado and
03:16 - 03:18
is why the tornado diagram is called that way.
03:20 - 03:23
In this case, the tornado diagram could be the following
03:25 - 03:26
the middle line.
03:27 - 03:36
They were percent SharePoint estimate the ice are 24,646 on
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the why exists, the bearer meters are presented and they
03:40 - 03:41
change off.
03:41 - 03:46
Your outcome is displayed on the X axis as we
03:46 - 03:48
can see changing the vaccination rates.
03:49 - 03:54
Brussels in the highest change in nicer discounting rates as
03:54 - 03:58
well, but affects in price and duration off the vaccine
03:59 - 03:59
Not so much.
04:01 - 04:03
What does this mean for your cost effectiveness analysis?
04:05 - 04:09
It means if, if the vaccination rate is higher than
04:09 - 04:13
you initially assumed, your eyes, er could change substantially.
04:16 - 04:19
Your estimate off course and effects are less progressed.
04:21 - 04:24
This could affect your decision on whether or not to
04:24 - 04:25
implement on intervention.
04:28 - 04:31
Based on your initial Isar off 24,646.
04:33 - 04:37
You might decide to implement the herpes vaccination.
04:38 - 04:42
However, are you certain that you assumed the vaccination rate
04:42 - 04:47
off 10% is realistic if the vaccination rate turns out
04:47 - 04:50
to be way different, it affects your eyes, er, in
04:50 - 04:54
this case, and therefore your decision to implement the intervention
04:55 - 04:55
or not.
04:57 - 05:00
If your model is very susceptible to change yourself para
05:00 - 05:01
meters, it is more insurgent.
05:03 - 05:07
If you're if your cost and effectiveness estimates are correct
05:08 - 05:10
and you will need to decide if you still want
05:10 - 05:16
to implement the intervention, is it susceptible to a lot
05:16 - 05:19
of para meters, or to only some?
05:21 - 05:22
What are these bearer meters?
05:23 - 05:27
The more para meter shell model is susceptible toe, the
05:27 - 05:31
less regressed it ISS and therefore it is more uncertain.
05:33 - 05:35
In this case, we might say that the model is
05:35 - 05:39
susceptible to some pair meters but can still be considered
05:39 - 05:40
to be quite rivest.
05:43 - 05:48
The result off several one way visas also can be
05:48 - 05:50
presented in a table or can easily be displayed.
05:51 - 05:52
Food text.
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The outcome ranged from X to Y when para Meter
05:57 - 06:00
said waas for right from A to B.
06:02 - 06:06
Next up is the multiple a sensitivity analysis.
06:08 - 06:12
As you can probably imagine, it is possible that multiple
06:12 - 06:15
parameters can have an impact on a model at the
06:15 - 06:15
same time.
06:17 - 06:21
In this case, a two way sensitivity analysis or even
06:21 - 06:26
a three way sensitivity analysis is used there are used
06:28 - 06:30
decent are used in to our mirror.
06:31 - 06:36
More para meters changed simultaneously and therefore have an impact
06:36 - 06:36
on the model.
06:38 - 06:40
So let's say we want to know how the price
06:40 - 06:44
often intervention together with the effectiveness off the same intervention
06:45 - 06:46
influence says the costs.
06:49 - 06:52
To do so, we could make a table with the
06:52 - 06:55
effectiveness on the Y axis and the price of the
06:55 - 06:59
intervention on the X excess, like in the following picture.
07:01 - 07:04
In this figure, the price of the intervention uses steps
07:05 - 07:10
off $100 and the effectiveness steps off 5% in the
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stable, it is easy to read what the total cost
07:13 - 07:14
will be.
07:14 - 07:20
If the intervention cost $100 and as an effectiveness off
07:20 - 07:25
30% for example, in this case, you can see that
07:25 - 07:27
the total cost will end up at $2048.
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Suppose the intervention is $200 more expensive and therefore cost
07:35 - 07:37
a total off $300.
07:39 - 07:41
In this case, you are still looking at the 30%
07:42 - 07:48
effectiveness. Only now in the $300 column, you can see
07:48 - 07:51
that the total cost skyrockets to $6349.
07:56 - 07:58
Of course, it is also possible to set other parameters
07:59 - 08:00
against each other.
08:01 - 08:05
So a two sided sensitivity analysis is an easy way
08:05 - 08:08
to quickly get an overview of what happens to your
08:08 - 08:09
desired outcome.
08:09 - 08:17
When two para meters change at the same time, then
08:17 - 08:22
a three way sensitivity analysis often leads to official overload
08:22 - 08:26
and confusion and will therefore only work if the first
08:26 - 08:31
para meter can be represented as a discrete value when
08:32 - 08:36
reporting a disease a enforcing three or more comparator xcx
08:36 - 08:38
This kind of analysis is very usual.
08:40 - 08:43
The relevant question you want toe answer in a three
08:43 - 08:49
way sensitivity analysis is which alternative is cost effective at
08:49 - 08:55
the threshold of X to portray the answer for two
08:55 - 09:00
para meters partition that quadrant to show which alternative is
09:00 - 09:04
cost effective at various isil thresholds and for different combination
09:05 - 09:10
off para meters results for different decision criteria are best
09:10 - 09:18
presented in separate panels off a graphical dismayed we've come
09:19 - 09:20
to the end of the knowledge ship.
09:20 - 09:24
Hopefully, you now know everything about how to present themselves
09:24 - 09:27
over one way analysis and multi way analysis.
09:29 - 09:30
I want to thank you for listening
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