[R] Regression model fitting

[Bert Gunter]

These is essentially a statistical question, which are generally
consider off topic here. So you may not get a satisfactory reply.

stats.stackexchange.com  is probably a better venue for your post.

Cheers,
Bert


Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Fri, May 4, 2018 at 8:20 AM, Allaisone 1 <Allaisone1 using hotmail.com> wrote:
>
> Hi all ,
>
>
> I have a dataframe (Hypertension) with following headers :-
>
>
>> Hypertension
>
> ID   Hypertension(before drug A)      Hypertension(On drug A)        On drug B?      Healthy diet?
>
> 1            160                                                           90                                           True                  True
>
> 2            190                                                          140                                          False                 False
>
> 3             170                                                          110                                         True                  False
>
>
> I wanted to study whether patients on drug A + on drug B + on healthy diet would have better
>
> blood pressure control (reduction) compared to patients with drug A but not on drug B or not on healthy diet or not on both.
>
>
> I considered my outcome(y) variable to be hypertension measurements for all patients
>
> on drug A (column 2).  Columns 1,3 and 4  are my explanatory(x) variables variables(column 1 is just the baseline measurements to adjust for the effect of drug A compared to the baseline) . So my regression formula using lm() function in R is as follow :-
>
>
> Regression <- lm (formula= Hypertension(On drug A)~Hypertension(before drug A) +
>
> (On drug B?*Healthy diet?))  , data = Hypertension)
>
>
> I expect that the result of "(On drug B?*Healthy diet?)" coefficient in the model would give the correct answer to my question.
>
> Is this the best formula to answer my question or there would be better methods ?.
>
>
> Regards
>
>
>
>
>         [[alternative HTML version deleted]]
>
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