Displaying 7 results from an estimated 7 matches for "ofat".
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2018 Mar 05
5
data analysis for partial two-by-two factorial design
David:
I believe your response on SO is incorrect. This is a standard OFAT (one
factor at a time) design, so that assuming additivity (no interactions),
the effects of drugA and drugB can be determined via the model you rejected:
For example, if baseline control (no drugs) has a response of 0, drugA has
an effect of 1, drugB has an effect of 2, and the effects are additi...
2018 Mar 05
2
data analysis for partial two-by-two factorial design
...)
On Mon, Mar 5, 2018 at 3:00 PM, David Winsemius <dwinsemius at comcast.net>
wrote:
>
> > On Mar 5, 2018, at 2:27 PM, Bert Gunter <bgunter.4567 at gmail.com> wrote:
> >
> > David:
> >
> > I believe your response on SO is incorrect. This is a standard OFAT (one
> factor at a time) design, so that assuming additivity (no interactions),
> the effects of drugA and drugB can be determined via the model you rejected:
>
> >> three groups, no drugA/no drugB, yes drugA/no drugB, yes drugA/yes drug
> B, omitting the fourth group of no dru...
2018 Mar 05
0
data analysis for partial two-by-two factorial design
> On Mar 5, 2018, at 2:27 PM, Bert Gunter <bgunter.4567 at gmail.com> wrote:
>
> David:
>
> I believe your response on SO is incorrect. This is a standard OFAT (one factor at a time) design, so that assuming additivity (no interactions), the effects of drugA and drugB can be determined via the model you rejected:
>> three groups, no drugA/no drugB, yes drugA/no drugB, yes drugA/yes drug B, omitting the fourth group of no drugA/yes drugB.
>
>...
2018 Mar 05
0
data analysis for partial two-by-two factorial design
...g
From: Bert Gunter [mailto:bgunter.4567 at gmail.com]
Sent: Monday, March 05, 2018 2:27 PM
To: David Winsemius
Cc: Ding, Yuan Chun; r-help at r-project.org
Subject: Re: [R] data analysis for partial two-by-two factorial design
David:
I believe your response on SO is incorrect. This is a standard OFAT (one factor at a time) design, so that assuming additivity (no interactions), the effects of drugA and drugB can be determined via the model you rejected:
For example, if baseline control (no drugs) has a response of 0, drugA has an effect of 1, drugB has an effect of 2, and the effects are additiv...
2018 Mar 05
0
data analysis for partial two-by-two factorial design
...gt; On Mon, Mar 5, 2018 at 3:00 PM, David Winsemius <dwinsemius at comcast.net> wrote:
>
> > On Mar 5, 2018, at 2:27 PM, Bert Gunter <bgunter.4567 at gmail.com> wrote:
> >
> > David:
> >
> > I believe your response on SO is incorrect. This is a standard OFAT (one factor at a time) design, so that assuming additivity (no interactions), the effects of drugA and drugB can be determined via the model you rejected:
>
> >> three groups, no drugA/no drugB, yes drugA/no drugB, yes drugA/yes drug B, omitting the fourth group of no drugA/yes drugB....
2018 Mar 05
0
data analysis for partial two-by-two factorial design
> On Mar 5, 2018, at 8:52 AM, Ding, Yuan Chun <ycding at coh.org> wrote:
>
> Hi Bert,
>
> I am very sorry to bother you again.
>
> For the following question, as you suggested, I posted it in both Biostars website and stackexchange website, so far no reply.
>
> I really hope that you can do me a great favor to share your points about how to explain the
2018 Mar 05
2
data analysis for partial two-by-two factorial design
Hi Bert,
I am very sorry to bother you again.
For the following question, as you suggested, I posted it in both Biostars website and stackexchange website, so far no reply.
I really hope that you can do me a great favor to share your points about how to explain the coefficients for drug A and drug B if run anova model (response variable = drug A + drug B). is it different from running three