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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 >>>>> >>>>> >>>>> * >>>>> * For searches and help try: >>>>> * http://www.stata.com/help.cgi?search >>>>> * http://www.stata.com/support/statalist/faq >>>>> * http://www.ats.ucla.edu/stat/stata/ >>>>> >>>> * >>>> * For searches and help try: >>>> * http://www.stata.com/help.cgi?search >>>> * http://www.stata.com/support/statalist/faq >>>> * http://www.ats.ucla.edu/stat/stata/ >>>> >>> * >>> * For searches and help try: >>> * http://www.stata.com/help.cgi?search >>> * http://www.stata.com/support/statalist/faq >>> * http://www.ats.ucla.edu/stat/stata/ >>> >> * >> * For searches and help try: >> * http://www.stata.com/help.cgi?search >> * http://www.stata.com/support/statalist/faq >> * http://www.ats.ucla.edu/stat/stata/ >> > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: RE: Complex Medical Data***From:*Tom Trikalinos <ttrikalin@gmail.com>

**References**:**st: Complex Medical Data***From:*TA Stat <tastat@gmail.com>

**st: RE: Complex Medical Data***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

**Re: st: RE: Complex Medical Data***From:*TA Stat <tastat@gmail.com>

**Re: st: RE: Complex Medical Data***From:*Tom Trikalinos <ttrikalin@gmail.com>

**Re: st: RE: Complex Medical Data***From:*TA Stat <tastat@gmail.com>

**Re: st: RE: Complex Medical Data***From:*Eva Poen <eva.poen@gmail.com>

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