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Re: st: RE: Complex Medical Data


From   TA Stat <tastat@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: RE: Complex Medical Data
Date   Sun, 15 Feb 2009 20:46:25 +0700

Thanks

Pete

On Sun, Feb 15, 2009 at 5:32 PM, Eva Poen <eva.poen@gmail.com> wrote:
> TA,
>
> -reshape- does work for you. You simply need to fiddle a bit with the
> id variable.
> See here:
>
> egen namevisit = group(name visit)
> bys name visit (drug) : gen drugID = _n
>
> reshape wide drug, i(namevisit) j(drugID)
> gen str drug = drug1 + " " + drug2 + " " + drug3 + " " + drug4
> gen GMMT = 0
>
> replace GMMT = 1 if strpos(drug,"A") > 0 & strpos(drug,"C") > 0
> replace GMMT = 1 if strpos(drug,"A") > 0 & strpos(drug,"D") > 0
> replace GMMT = 1 if strpos(drug,"B") > 0 & strpos(drug,"C") > 0
> replace GMMT = 1 if strpos(drug,"A") > 0 & strpos(drug,"B") > 0 &
> strpos(drug,"A4") == 0 & strpos(drug,"B3") == 0
> replace GMMT = 1 if strpos(drug,"A") > 0 & strpos(drug,"B") > 0 &
> strpos(drug,"C") > 0
>
> And the result is
>
> . list name visit drug GMMT
>
>     +-----------------------------------+
>     | name   visit          drug   GMMT |
>     |-----------------------------------|
>  1. |  Jen       1     B3 C3 D4       1 |
>  2. |  Jen       2   A4 B3 C3 D4      1 |
>  3. |  Jen       3       A4 B3        0 |
>  4. |  Jen       4     A4 B3 C4       1 |
>  5. | John       1     A1 B1 C1       1 |
>     |-----------------------------------|
>  6. | John       2       A1 B1        1 |
>  7. | John       3       C1 D1        0 |
>  8. | John       4     B2 C2 D1       1 |
>     +-----------------------------------+
>
> HTH,
> Eva
>
>
>
> 2009/2/15 TA Stat <tastat@gmail.com>:
>> If reshape wide is used, that means "visit" is ignored.  However, but
>> both visit and drug are important in this case.  Look at each clinic
>> visit of John, he received GMMT at visit 1, visit 2 and visit 3, but
>> not visit 4.  GMMT can't be determined by one drug, but it is a
>> combination of some drugs.  In other words, I want to conclude that at
>> each visit, each patient received GMMT or not.
>>
>> I can do Table 2 to Table 3, but not Table 1 to Table 2.
>>
>> TA
>>
>>
>> On Sun, Feb 15, 2009 at 4:01 AM, Tom Trikalinos <ttrikalin@gmail.com> wrote:
>>> TA, see
>>>
>>> help reshape wide
>>>
>>> in reshaping, j will be your drug
>>>
>>> hth,
>>>
>>> TAT
>>>
>>>
>>> On Sat, Feb 14, 2009 at 12:22 AM, TA Stat <tastat@gmail.com> wrote:
>>>> For example, from table 1 to table 2, create a variable name "GMMT"
>>>> with the conditions explain earlier.  John received GMMT for visit 1,
>>>> visit 2, visit 4, but not visit 3.  Jen received GMMT at visit 1,
>>>> visit 2, visit 4, but not visit 3.
>>>>
>>>> Although at visit 4 for Jen, a combination of A4 and B3 is not GMMT,
>>>> but she also received C4. So she received GMMT.  At visit 3 for John,
>>>> he received C1 and D1 (any combination of drug from Class C and Class
>>>> D), so he received GMMT.
>>>>
>>>> I want to know how to get Table 2 from Table 1.
>>>>
>>>> ***************************************************************************************
>>>>
>>>> Table 1
>>>>
>>>> Name       Visit      Drug
>>>>
>>>> John           1           A1
>>>> John           1           B1
>>>> John           1           C1
>>>> John           2           A1
>>>> John           2           B1
>>>> John           3           C1
>>>> John           3           D1
>>>> John           4           B2
>>>> John           4           C2
>>>> John           4           D1
>>>> Jen             1           B3
>>>> Jen             1           C3
>>>> Jen             1           D4
>>>> Jen             2           A4
>>>> Jen             2           B3
>>>> Jen             2           C3
>>>> Jen             2           D4
>>>> Jen             3           A4
>>>> Jen             3           B3
>>>> Jen             4           A4
>>>> Jen             4           B3
>>>> Jen             4           C4
>>>>
>>>> ***************************************************************************************
>>>>
>>>> Table 2
>>>>
>>>> Name       Visit      Drug        GMMT (Y=Yes, N=No)
>>>>
>>>> John           1           A1            Y
>>>> John           1           B1            Y
>>>> John           1           C1            Y
>>>> John           2           A1            Y
>>>> John           2           B1            Y
>>>> John           3           C1            N
>>>> John           3           D1            N
>>>> John           4           B2            Y
>>>> John           4           C2            Y
>>>> John           4           D1            Y
>>>> Jen             1           B3            Y
>>>> Jen             1           C3            Y
>>>> Jen             1           D4            Y
>>>> Jen             2           A4            Y
>>>> Jen             2           B3            Y
>>>> Jen             2           C3            Y
>>>> Jen             2           D4            Y
>>>> Jen             3           A4            N
>>>> Jen             3           B3            N
>>>> Jen             4           A4            Y
>>>> Jen             4           B3            Y
>>>> Jen             4           C4            Y
>>>>
>>>>
>>>> ***************************************************************************************
>>>>
>>>> Table 3
>>>>
>>>> Name       Visit      Drug        GMMT (Y=Yes, N=No)
>>>>
>>>> John           1           A1            Y
>>>> John           2           A1            Y
>>>> John           3           C1            N
>>>> John           4           B2            Y
>>>> Jen             1           B3            Y
>>>> Jen             2           A4            Y
>>>> Jen             3           A4            N
>>>> Jen             4           A4            Y
>>>>
>>>>
>>>> On Sat, Feb 14, 2009 at 2:29 AM, Nick Cox <n.j.cox@durham.ac.uk> wrote:
>>>>> <>
>>>>>
>>>>> An example of data would help make this clearer.
>>>>>
>>>>> Nick
>>>>> n.j.cox@durham.ac.uk
>>>>>
>>>>> TA Stat
>>>>>
>>>>> I have data arranged in the format that each row represents one drug
>>>>> for clinic visit. So, one patient may have more than one drug (row)
>>>>> for each visit. Each patient also have several clinic visits.
>>>>>
>>>>> There are 4 classes of drugs, called Class A, Class B, Class C and
>>>>> Class D. Class A has four drugs, called A1, A2, A3 and A4. Class B has
>>>>> 3 drugs, called B1, B2, B3. so as Class C and Class D (as presented
>>>>> below). Some combination of drugs is called GMMT, other is not. I
>>>>> would like to find if each patient has received GMMT at each clinic
>>>>> visit or not. Basically, I want to identify whether patient receive
>>>>> GMMT for each visit or not.
>>>>>
>>>>> Class A: A1, A2, A3, A4
>>>>>
>>>>> Class B: B1, B2, B3
>>>>>
>>>>> Class C: C1, C2, C3
>>>>>
>>>>> Class D: D1, D2, D3, D4
>>>>>
>>>>> a combination of drug is called GMMT if
>>>>>
>>>>> Class A and Class B
>>>>>
>>>>> Class A and Class C
>>>>>
>>>>> Class A and Class D
>>>>>
>>>>> Class B and Class C
>>>>>
>>>>> Class A and Class B and Class C
>>>>>
>>>>> (However, there are some exception)
>>>>>
>>>>> but not for Class C and Class D
>>>>>
>>>>> but not for A4 and B3
>>>>>
>>>>>
>>>>> *
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