14-3.07

ADAS Cog (11) - Change from Baseline to Week 24 - Completers at Wk 24-Observed Cases-Windowed

Made 2026-10-17 from uploaded data.

Program t-14-3-07.sas

Version 1, written from Clinwright's patterns, 2026-10-17, checks passed.

/*==== 00-header ====*/
/*----------------------------------------------------------------------------
  Output  : Table 14-3.07 / ADAS Cog (11) - Change from Baseline to Week 24 - Completers at Wk 24-Observed Cases-Windowed / Completers Analysis Set
  Program : t-14-3-07.sas   Reporting effort : CSR
  ADaM    : /work/adam (ADSL, ADADAS, ADCIBC, ADLBC, ADLBH, ADNPIX, ADTTE, ADVS, ADAE, ADCM, ADMH, ADEX)
  The header and the report step follow from the shell. The sections between
  them make WORK.FINAL, one record per row of the table, in order:
    _page     the page (1 unless the output is paged); _pagelbl its heading or empty
    _ord      the row's order; _indent the label's indentation (0 = flush left)
    _rowid    the uuid of the shell row it shows (WORK._SHELL); one shell row may
              have several (a category per value); a blank row's is blank-<n>
    _kind     label | stat | blank
    rowlabel  the row's label, as text
    col1      Placebo|(N=xx)
    col2      Xanomeline Low Dose|(N=xx)
    col3      Xanomeline High Dose|(N=xx)
  and set the big N of the column headers:
    &_bign1    Placebo|(N=xx)
    &_bign2    Xanomeline Low Dose|(N=xx)
    &_bign3    Xanomeline High Dose|(N=xx)
  /work/_lib/clinwright.sas has %ls_bign, %ls_count, %ls_stats, %ls_npct, %ls_num.
----------------------------------------------------------------------------*/
libname adam "/work/adam" access=readonly;
%include "/work/_lib/clinwright.sas";
%ls_setup;

/* The shell's rows, in order, with each column's value pattern (_xx1-_xx3). */
data work._shell;
  length _page 8 _pagelbl $200 _ord 8 _indent 8 _rowid $36 _kind $5 _var $32 rowlabel $200 _xx1 $40 _xx2 $40 _xx3 $40;
  _page = 1; _pagelbl = '';
  _ord=1; _indent=0; _rowid='12188a1a-8c24-4ff1-b06b-b98f723c2f95'; _kind='label'; _var=''; rowlabel='Baseline'; _xx1=''; _xx2=''; _xx3=''; output;
  _ord=2; _indent=1; _rowid='dd6c76e7-404f-49e4-91bc-add7cd3732f9'; _kind='stat'; _var=''; rowlabel='n'; _xx1='xx'; _xx2='xx'; _xx3='xx'; output;
  _ord=3; _indent=1; _rowid='f5096268-1ff8-4c9d-a21a-921f7fc6c6df'; _kind='stat'; _var=''; rowlabel='Mean (SD)'; _xx1='xx.x (xx.xx)'; _xx2='xx.x (xx.xx)'; _xx3='xx.x (xx.xx)'; output;
  _ord=4; _indent=1; _rowid='bbd85ac3-fb00-4eb3-8e3a-5f51743b17c3'; _kind='stat'; _var=''; rowlabel='Median (Range)'; _xx1='xx.x (xx;xx)'; _xx2='xx.x (xx;xx)'; _xx3='xx.x (xx;xx)'; output;
  _ord=5; _indent=0; _rowid='blank-5'; _kind='blank'; _var=''; rowlabel=''; _xx1=''; _xx2=''; _xx3=''; output;
  _ord=6; _indent=0; _rowid='4234d294-0678-427c-ba35-20b8e0a7270a'; _kind='label'; _var=''; rowlabel='Week 24'; _xx1=''; _xx2=''; _xx3=''; output;
  _ord=7; _indent=1; _rowid='8dc767bf-6058-4be7-bc3e-bf3ceb931c56'; _kind='stat'; _var=''; rowlabel='n'; _xx1='xx'; _xx2='xx'; _xx3='xx'; output;
  _ord=8; _indent=1; _rowid='80be78b3-0c2a-40d5-80a0-abc96702d250'; _kind='stat'; _var=''; rowlabel='Mean (SD)'; _xx1='xx.x (xx.xx)'; _xx2='xx.x (xx.xx)'; _xx3='xx.x (xx.xx)'; output;
  _ord=9; _indent=1; _rowid='48293154-bf1f-4a3e-83ce-44d295840cc2'; _kind='stat'; _var=''; rowlabel='Median (Range)'; _xx1='xx.x (xx;xx)'; _xx2='xx.x (xx;xx)'; _xx3='xx.x (xx;xx)'; output;
  _ord=10; _indent=0; _rowid='blank-10'; _kind='blank'; _var=''; rowlabel=''; _xx1=''; _xx2=''; _xx3=''; output;
  _ord=11; _indent=0; _rowid='56217839-cc19-47e1-9d2b-d13dc73faf21'; _kind='label'; _var=''; rowlabel='Change from Baseline'; _xx1=''; _xx2=''; _xx3=''; output;
  _ord=12; _indent=1; _rowid='08bf27aa-f8f4-4c13-a333-0b9ea0a37068'; _kind='stat'; _var=''; rowlabel='n'; _xx1='xx'; _xx2='xx'; _xx3='xx'; output;
  _ord=13; _indent=1; _rowid='332ec7cc-8500-4f54-8459-56730a8feddd'; _kind='stat'; _var=''; rowlabel='Mean (SD)'; _xx1='xx.x (xx.xx)'; _xx2='xx.x (xx.xx)'; _xx3='xx.x (xx.xx)'; output;
  _ord=14; _indent=1; _rowid='7d64c8f5-0455-4997-9b42-c48fd535a3dc'; _kind='stat'; _var=''; rowlabel='Median (Range)'; _xx1='xx.x (xx;xx)'; _xx2='xx.x (xx;xx)'; _xx3='xx.x (xx;xx)'; output;
  _ord=15; _indent=1; _rowid='7c9704f7-2d18-4eb8-862e-5cb060cd725e'; _kind='stat'; _var=''; rowlabel='p-value(Dose Response) [1][2]'; _xx1=''; _xx2=''; _xx3='x.xxx'; output;
  _ord=16; _indent=1; _rowid='ca8497e1-c442-4992-994d-5d135970393e'; _kind='stat'; _var=''; rowlabel='p-value(Xan - Placebo) [1][3]'; _xx1=''; _xx2='x.xxx'; _xx3='x.xxx'; output;
  _ord=17; _indent=2; _rowid='92025714-a84b-400e-b06a-a2ab782ab1ee'; _kind='stat'; _var=''; rowlabel='Diff of LS Means (SE)'; _xx1=''; _xx2='xx.x (xx.xx)'; _xx3='xx.x (xx.xx)'; output;
  _ord=18; _indent=2; _rowid='6cd1ca9c-2f79-4c7e-acc9-edf3bffc1288'; _kind='stat'; _var=''; rowlabel='95% CI'; _xx1=''; _xx2='(xx.x;xx.x)'; _xx3='(xx.x;xx.x)'; output;
  _ord=19; _indent=0; _rowid='blank-19'; _kind='blank'; _var=''; rowlabel=''; _xx1=''; _xx2=''; _xx3=''; output;
  _ord=20; _indent=1; _rowid='612f7458-70c6-4e12-8c73-652b38589225'; _kind='stat'; _var=''; rowlabel='p-value(Xan High - Xan Low) [1][3]'; _xx1=''; _xx2=''; _xx3='x.xxx'; output;
  _ord=21; _indent=2; _rowid='d6b7a274-f9ee-4cf1-9a7f-a8cc2944de24'; _kind='stat'; _var=''; rowlabel='Diff of LS Means (SE)'; _xx1=''; _xx2=''; _xx3='xx.x (xx.xx)'; output;
  _ord=22; _indent=2; _rowid='024c80d1-c385-43f5-9d4c-ad2ac953a26c'; _kind='stat'; _var=''; rowlabel='95% CI'; _xx1=''; _xx2=''; _xx3='(xx.x;xx.x)'; output;
run;

/*==== 10-data ====*/
/* Made from the output's analysis: the records of ADADAS with PARAMCD = 'ACTOT' and missing(DTYPE) and ANL01FL = 'Y' of the subjects of ADSL with COMP24FL = 'Y', by TRT01P. */
/* The population's subjects, in each column they count in. */
data work._popc;
  set adam.adsl(where=(comp24fl = 'Y'));
  if trt01p in ('Placebo') then do; _col = 1; output; end;
  if trt01p in ('Xanomeline Low Dose') then do; _col = 2; output; end;
  if trt01p in ('Xanomeline High Dose') then do; _col = 3; output; end;
  keep usubjid _col;
run;
data work._pop1; set adam.adsl(where=(comp24fl = 'Y')); keep usubjid trt01p; run;
proc sort data=work._pop1; by usubjid; run;
/* The records of ADADAS with PARAMCD = 'ACTOT' and missing(DTYPE) and ANL01FL = 'Y', of the population's subjects, in each column. */
proc sort data=adam.adadas(keep=sitegr1 usubjid trtpn comp24fl avisit paramcd aval base chg anl01fl dtype where=(PARAMCD = 'ACTOT' and missing(DTYPE) and ANL01FL = 'Y')) out=work._rec; by usubjid; run;
data work._an;
  merge work._rec(in=_r) work._pop1(in=_p);
  by usubjid;
  if _r and _p;
  if trt01p in ('Placebo') then do; _col = 1; output; end;
  if trt01p in ('Xanomeline Low Dose') then do; _col = 2; output; end;
  if trt01p in ('Xanomeline High Dose') then do; _col = 3; output; end;
run;
data work._cols; do _col = 1 to 3; output; end; run;
%ls_bign(data=work._popc, trt=_col, values=1|2|3|1|2|3, names=_lsn1 _lsn2 _lsn3 _bign1 _bign2 _bign3);

data work._as1; set work._an; where avisit = 'Baseline'; run;
/* Subjects and records per column. */
proc sort data=work._as1(keep=usubjid _col) out=work._u; by _col usubjid; run;
data work._c;
  set work._u;
  by _col usubjid;
  retain _n _e;
  if first._col then do; _n = 0; _e = 0; end;
  _e = _e + 1;
  if first.usubjid then _n = _n + 1;
  if last._col then output;
  keep _col _n _e;
run;
proc transpose data=work._c out=work._tn(drop=_name_) prefix=_n; id _col; var _n; run;
proc transpose data=work._c out=work._te(drop=_name_) prefix=_e; id _col; var _e; run;
data work._z; _z = 1; run;
data work._g0;
  merge work._z work._tn work._te;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  do _i = 1 to 3; _nn{_i} = sum(_nn{_i}, 0); _ee{_i} = sum(_ee{_i}, 0); end;
  _tot = sum(of _n1-_n3);
  drop _i _z;
run;
data work._ar; set work._an; where avisit = 'Baseline'; run;
/* n: n of AVAL. */
data work._f; set work._g0; do _col = 1 to 3; output; end; run;
proc sort data=work._ar(keep=_col aval) out=work._m; by _col; run;
data work._m;
  set work._m;
  by _col;
  retain _vmiss _vnm;
  if first._col then do; _vmiss = 0; _vnm = 0; end;
  if missing(aval) then _vmiss = _vmiss + 1; else _vnm = _vnm + 1;
  if last._col then output;
  keep _col _vmiss _vnm;
run;
data work._k1;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._m;
  by _col;
  if _in;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  _rowid = 'dd6c76e7-404f-49e4-91bc-add7cd3732f9';
  _page = 1;
  _pagelbl = '';
  _k0 = 2;
  _label = '';
  _v = strip(ifc(missing(sum(_vnm, 0)), '-', %ls_num(sum(_vnm, 0), 0)));
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
data work._ar; set work._an; where avisit = 'Baseline'; run;
/* Mean (SD): mean_sd of AVAL. */
data work._f; set work._g0; do _col = 1 to 3; output; end; run;
%ls_stats(data=work._ar, out=work._st, var=aval, trt=_col, keepraw=Y);
proc sort data=work._ar(keep=_col aval) out=work._m; by _col; run;
data work._m;
  set work._m;
  by _col;
  retain _vmiss _vnm;
  if first._col then do; _vmiss = 0; _vnm = 0; end;
  if missing(aval) then _vmiss = _vmiss + 1; else _vnm = _vnm + 1;
  if last._col then output;
  keep _col _vmiss _vnm;
run;
data work._k2;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._st work._m;
  by _col;
  if _in;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  _rowid = 'f5096268-1ff8-4c9d-a21a-921f7fc6c6df';
  _page = 1;
  _pagelbl = '';
  _k0 = 3;
  _label = '';
  _v = strip(ifc(missing(_vmean), '-', %ls_num(_vmean, 1))) || ' (' || strip(ifc(missing(_vsd), '-', %ls_num(_vsd, 2))) || ')';
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
data work._ar; set work._an; where avisit = 'Baseline'; run;
/* Median (Range): median_range of AVAL. */
data work._f; set work._g0; do _col = 1 to 3; output; end; run;
%ls_stats(data=work._ar, out=work._st, var=aval, trt=_col, keepraw=Y);
proc sort data=work._ar(keep=_col aval) out=work._m; by _col; run;
data work._m;
  set work._m;
  by _col;
  retain _vmiss _vnm;
  if first._col then do; _vmiss = 0; _vnm = 0; end;
  if missing(aval) then _vmiss = _vmiss + 1; else _vnm = _vnm + 1;
  if last._col then output;
  keep _col _vmiss _vnm;
run;
data work._k3;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._st work._m;
  by _col;
  if _in;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  _rowid = 'bbd85ac3-fb00-4eb3-8e3a-5f51743b17c3';
  _page = 1;
  _pagelbl = '';
  _k0 = 4;
  _label = '';
  _v = strip(ifc(missing(_vmedian), '-', %ls_num(_vmedian, 1))) || ' (' || strip(ifc(missing(_vmin), '-', %ls_num(_vmin, 0))) || ';' || strip(ifc(missing(_vmax), '-', %ls_num(_vmax, 0))) || ')';
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
data work._as2; set work._an; where avisit = 'Week 24'; run;
/* Subjects and records per column. */
proc sort data=work._as2(keep=usubjid _col) out=work._u; by _col usubjid; run;
data work._c;
  set work._u;
  by _col usubjid;
  retain _n _e;
  if first._col then do; _n = 0; _e = 0; end;
  _e = _e + 1;
  if first.usubjid then _n = _n + 1;
  if last._col then output;
  keep _col _n _e;
run;
proc transpose data=work._c out=work._tn(drop=_name_) prefix=_n; id _col; var _n; run;
proc transpose data=work._c out=work._te(drop=_name_) prefix=_e; id _col; var _e; run;
data work._z; _z = 1; run;
data work._g1;
  merge work._z work._tn work._te;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  do _i = 1 to 3; _nn{_i} = sum(_nn{_i}, 0); _ee{_i} = sum(_ee{_i}, 0); end;
  _tot = sum(of _n1-_n3);
  drop _i _z;
run;
data work._ar; set work._an; where avisit = 'Week 24'; run;
/* n: n of AVAL. */
data work._f; set work._g1; do _col = 1 to 3; output; end; run;
proc sort data=work._ar(keep=_col aval) out=work._m; by _col; run;
data work._m;
  set work._m;
  by _col;
  retain _vmiss _vnm;
  if first._col then do; _vmiss = 0; _vnm = 0; end;
  if missing(aval) then _vmiss = _vmiss + 1; else _vnm = _vnm + 1;
  if last._col then output;
  keep _col _vmiss _vnm;
run;
data work._k4;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._m;
  by _col;
  if _in;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  _rowid = '8dc767bf-6058-4be7-bc3e-bf3ceb931c56';
  _page = 1;
  _pagelbl = '';
  _k0 = 7;
  _label = '';
  _v = strip(ifc(missing(sum(_vnm, 0)), '-', %ls_num(sum(_vnm, 0), 0)));
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
data work._ar; set work._an; where avisit = 'Week 24'; run;
/* Mean (SD): mean_sd of AVAL. */
data work._f; set work._g1; do _col = 1 to 3; output; end; run;
%ls_stats(data=work._ar, out=work._st, var=aval, trt=_col, keepraw=Y);
proc sort data=work._ar(keep=_col aval) out=work._m; by _col; run;
data work._m;
  set work._m;
  by _col;
  retain _vmiss _vnm;
  if first._col then do; _vmiss = 0; _vnm = 0; end;
  if missing(aval) then _vmiss = _vmiss + 1; else _vnm = _vnm + 1;
  if last._col then output;
  keep _col _vmiss _vnm;
run;
data work._k5;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._st work._m;
  by _col;
  if _in;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  _rowid = '80be78b3-0c2a-40d5-80a0-abc96702d250';
  _page = 1;
  _pagelbl = '';
  _k0 = 8;
  _label = '';
  _v = strip(ifc(missing(_vmean), '-', %ls_num(_vmean, 1))) || ' (' || strip(ifc(missing(_vsd), '-', %ls_num(_vsd, 2))) || ')';
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
data work._ar; set work._an; where avisit = 'Week 24'; run;
/* Median (Range): median_range of AVAL. */
data work._f; set work._g1; do _col = 1 to 3; output; end; run;
%ls_stats(data=work._ar, out=work._st, var=aval, trt=_col, keepraw=Y);
proc sort data=work._ar(keep=_col aval) out=work._m; by _col; run;
data work._m;
  set work._m;
  by _col;
  retain _vmiss _vnm;
  if first._col then do; _vmiss = 0; _vnm = 0; end;
  if missing(aval) then _vmiss = _vmiss + 1; else _vnm = _vnm + 1;
  if last._col then output;
  keep _col _vmiss _vnm;
run;
data work._k6;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._st work._m;
  by _col;
  if _in;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  _rowid = '48293154-bf1f-4a3e-83ce-44d295840cc2';
  _page = 1;
  _pagelbl = '';
  _k0 = 9;
  _label = '';
  _v = strip(ifc(missing(_vmedian), '-', %ls_num(_vmedian, 1))) || ' (' || strip(ifc(missing(_vmin), '-', %ls_num(_vmin, 0))) || ';' || strip(ifc(missing(_vmax), '-', %ls_num(_vmax, 0))) || ')';
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
data work._ar; set work._an; where avisit = 'Week 24'; run;
/* n: n of CHG. */
data work._f; set work._g1; do _col = 1 to 3; output; end; run;
proc sort data=work._ar(keep=_col chg) out=work._m; by _col; run;
data work._m;
  set work._m;
  by _col;
  retain _vmiss _vnm;
  if first._col then do; _vmiss = 0; _vnm = 0; end;
  if missing(chg) then _vmiss = _vmiss + 1; else _vnm = _vnm + 1;
  if last._col then output;
  keep _col _vmiss _vnm;
run;
data work._k7;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._m;
  by _col;
  if _in;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  _rowid = '08bf27aa-f8f4-4c13-a333-0b9ea0a37068';
  _page = 1;
  _pagelbl = '';
  _k0 = 12;
  _label = '';
  _v = strip(ifc(missing(sum(_vnm, 0)), '-', %ls_num(sum(_vnm, 0), 0)));
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
data work._ar; set work._an; where avisit = 'Week 24'; run;
/* Mean (SD): mean_sd of CHG. */
data work._f; set work._g1; do _col = 1 to 3; output; end; run;
%ls_stats(data=work._ar, out=work._st, var=chg, trt=_col, keepraw=Y);
proc sort data=work._ar(keep=_col chg) out=work._m; by _col; run;
data work._m;
  set work._m;
  by _col;
  retain _vmiss _vnm;
  if first._col then do; _vmiss = 0; _vnm = 0; end;
  if missing(chg) then _vmiss = _vmiss + 1; else _vnm = _vnm + 1;
  if last._col then output;
  keep _col _vmiss _vnm;
run;
data work._k8;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._st work._m;
  by _col;
  if _in;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  _rowid = '332ec7cc-8500-4f54-8459-56730a8feddd';
  _page = 1;
  _pagelbl = '';
  _k0 = 13;
  _label = '';
  _v = strip(ifc(missing(_vmean), '-', %ls_num(_vmean, 1))) || ' (' || strip(ifc(missing(_vsd), '-', %ls_num(_vsd, 2))) || ')';
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
data work._ar; set work._an; where avisit = 'Week 24'; run;
/* Median (Range): median_range of CHG. */
data work._f; set work._g1; do _col = 1 to 3; output; end; run;
%ls_stats(data=work._ar, out=work._st, var=chg, trt=_col, keepraw=Y);
proc sort data=work._ar(keep=_col chg) out=work._m; by _col; run;
data work._m;
  set work._m;
  by _col;
  retain _vmiss _vnm;
  if first._col then do; _vmiss = 0; _vnm = 0; end;
  if missing(chg) then _vmiss = _vmiss + 1; else _vnm = _vnm + 1;
  if last._col then output;
  keep _col _vmiss _vnm;
run;
data work._k9;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._st work._m;
  by _col;
  if _in;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  _rowid = '7d64c8f5-0455-4997-9b42-c48fd535a3dc';
  _page = 1;
  _pagelbl = '';
  _k0 = 14;
  _label = '';
  _v = strip(ifc(missing(_vmedian), '-', %ls_num(_vmedian, 1))) || ' (' || strip(ifc(missing(_vmin), '-', %ls_num(_vmin, 0))) || ';' || strip(ifc(missing(_vmax), '-', %ls_num(_vmax, 0))) || ')';
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
data work._ar; set work._an; where avisit = 'Week 24'; run;
/* p-value(Dose Response) [1][2]: model_p_dose. */
data work._f; set work._g1; do _col = 1 to 3; output; end; run;
data work._am; set work._ar; where AVISIT = 'Week 24'; run;
%ls_ancova(data=work._am, var=chg, cols=1 2 3, ref=1, factors=sitegr1, covariates=base, dose=trtpn, out=work._mm1);
data work._k10;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._mm1;
  by _col;
  if _in;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  _rowid = '7c9704f7-2d18-4eb8-862e-5cb060cd725e';
  _page = 1;
  _pagelbl = '';
  _k0 = 15;
  _label = '';
  if _col = 1 then _v = '';
  else if _col = 2 then _v = '';
  else if _col = 3 then _v = ifc(missing(_mpd), '', ifc(round(sum(_mpd, 0), 0.001) < 0.001, '<0.001', ifc(round(sum(_mpd, 0), 0.001) > 0.999, '>0.999', strip(put(round(sum(_mpd, 0), 0.001), 32.3)))));
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
data work._ar; set work._an; where avisit = 'Week 24'; run;
/* p-value(Xan - Placebo) [1][3]: model_p. */
data work._f; set work._g1; do _col = 1 to 3; output; end; run;
data work._k11;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._mm1;
  by _col;
  if _in;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  _rowid = 'ca8497e1-c442-4992-994d-5d135970393e';
  _page = 1;
  _pagelbl = '';
  _k0 = 16;
  _label = '';
  if _col = 1 then _v = '';
  else if _col = 2 then _v = ifc(missing(_mp), '', ifc(round(sum(_mp, 0), 0.001) < 0.001, '<0.001', ifc(round(sum(_mp, 0), 0.001) > 0.999, '>0.999', strip(put(round(sum(_mp, 0), 0.001), 32.3)))));
  else if _col = 3 then _v = ifc(missing(_mp), '', ifc(round(sum(_mp, 0), 0.001) < 0.001, '<0.001', ifc(round(sum(_mp, 0), 0.001) > 0.999, '>0.999', strip(put(round(sum(_mp, 0), 0.001), 32.3)))));
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
data work._ar; set work._an; where avisit = 'Week 24'; run;
/* Diff of LS Means (SE): model_diff_se. */
data work._f; set work._g1; do _col = 1 to 3; output; end; run;
data work._k12;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._mm1;
  by _col;
  if _in;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  _rowid = '92025714-a84b-400e-b06a-a2ab782ab1ee';
  _page = 1;
  _pagelbl = '';
  _k0 = 17;
  _label = '';
  if _col = 1 then _v = '';
  else if _col = 2 then _v = strip(ifc(missing(_md), '-', %ls_num(_md, 1))) || ' (' || strip(ifc(missing(_mse), '-', %ls_num(_mse, 2))) || ')';
  else if _col = 3 then _v = strip(ifc(missing(_md), '-', %ls_num(_md, 1))) || ' (' || strip(ifc(missing(_mse), '-', %ls_num(_mse, 2))) || ')';
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
data work._ar; set work._an; where avisit = 'Week 24'; run;
/* 95% CI: model_ci. */
data work._f; set work._g1; do _col = 1 to 3; output; end; run;
data work._k13;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._mm1;
  by _col;
  if _in;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  _rowid = '6cd1ca9c-2f79-4c7e-acc9-edf3bffc1288';
  _page = 1;
  _pagelbl = '';
  _k0 = 18;
  _label = '';
  if _col = 1 then _v = '';
  else if _col = 2 then _v = '(' || strip(ifc(missing(_mlo), '-', %ls_num(_mlo, 1))) || ';' || strip(ifc(missing(_mhi), '-', %ls_num(_mhi, 1))) || ')';
  else if _col = 3 then _v = '(' || strip(ifc(missing(_mlo), '-', %ls_num(_mlo, 1))) || ';' || strip(ifc(missing(_mhi), '-', %ls_num(_mhi, 1))) || ')';
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
data work._ar; set work._an; where avisit = 'Week 24'; run;
/* p-value(Xan High - Xan Low) [1][3]: model_p. */
data work._f; set work._g1; do _col = 1 to 3; output; end; run;
data work._am; set work._ar; where AVISIT = 'Week 24'; run;
%ls_ancova(data=work._am, var=chg, cols=1 2 3, ref=2, factors=sitegr1, covariates=base, dose=trtpn, out=work._mm2);
data work._k14;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._mm2;
  by _col;
  if _in;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  _rowid = '612f7458-70c6-4e12-8c73-652b38589225';
  _page = 1;
  _pagelbl = '';
  _k0 = 20;
  _label = '';
  if _col = 1 then _v = '';
  else if _col = 2 then _v = '';
  else if _col = 3 then _v = ifc(missing(_mp), '', ifc(round(sum(_mp, 0), 0.001) < 0.001, '<0.001', ifc(round(sum(_mp, 0), 0.001) > 0.999, '>0.999', strip(put(round(sum(_mp, 0), 0.001), 32.3)))));
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
data work._ar; set work._an; where avisit = 'Week 24'; run;
/* Diff of LS Means (SE): model_diff_se. */
data work._f; set work._g1; do _col = 1 to 3; output; end; run;
data work._k15;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._mm2;
  by _col;
  if _in;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  _rowid = 'd6b7a274-f9ee-4cf1-9a7f-a8cc2944de24';
  _page = 1;
  _pagelbl = '';
  _k0 = 21;
  _label = '';
  if _col = 1 then _v = '';
  else if _col = 2 then _v = '';
  else if _col = 3 then _v = strip(ifc(missing(_md), '-', %ls_num(_md, 1))) || ' (' || strip(ifc(missing(_mse), '-', %ls_num(_mse, 2))) || ')';
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
data work._ar; set work._an; where avisit = 'Week 24'; run;
/* 95% CI: model_ci. */
data work._f; set work._g1; do _col = 1 to 3; output; end; run;
data work._k16;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._mm2;
  by _col;
  if _in;
  array _nn{3} _n1-_n3;
  array _ee{3} _e1-_e3;
  _rowid = '024c80d1-c385-43f5-9d4c-ad2ac953a26c';
  _page = 1;
  _pagelbl = '';
  _k0 = 22;
  _label = '';
  if _col = 1 then _v = '';
  else if _col = 2 then _v = '';
  else if _col = 3 then _v = '(' || strip(ifc(missing(_mlo), '-', %ls_num(_mlo, 1))) || ';' || strip(ifc(missing(_mhi), '-', %ls_num(_mhi, 1))) || ')';
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;

data work._cells; set work._k1 work._k2 work._k3 work._k4 work._k5 work._k6 work._k7 work._k8 work._k9 work._k10 work._k11 work._k12 work._k13 work._k14 work._k15 work._k16; run;
proc sort data=work._cells; by _page _pagelbl _k0 _rowid _label _col; run;
proc transpose data=work._cells out=work._wide(drop=_name_) prefix=col;
  by _page _pagelbl _k0 _rowid _label;
  id _col;
  var _v;
run;
proc sort data=work._wide; by _rowid; run;
proc sort data=work._shell(drop=_page _pagelbl) out=work._rows; by _rowid; run;
data work._inst;
  merge work._wide(in=_w) work._rows(in=_s);
  by _rowid;
  if _w and _s;
  if _label ne '' then rowlabel = _label;
run;
data work._fixed;
  set work._shell;
  if _rowid not in ('dd6c76e7-404f-49e4-91bc-add7cd3732f9' 'f5096268-1ff8-4c9d-a21a-921f7fc6c6df' 'bbd85ac3-fb00-4eb3-8e3a-5f51743b17c3' '8dc767bf-6058-4be7-bc3e-bf3ceb931c56' '80be78b3-0c2a-40d5-80a0-abc96702d250' '48293154-bf1f-4a3e-83ce-44d295840cc2' '08bf27aa-f8f4-4c13-a333-0b9ea0a37068' '332ec7cc-8500-4f54-8459-56730a8feddd' '7d64c8f5-0455-4997-9b42-c48fd535a3dc' '7c9704f7-2d18-4eb8-862e-5cb060cd725e' 'ca8497e1-c442-4992-994d-5d135970393e' '92025714-a84b-400e-b06a-a2ab782ab1ee' '6cd1ca9c-2f79-4c7e-acc9-edf3bffc1288' '612f7458-70c6-4e12-8c73-652b38589225' 'd6b7a274-f9ee-4cf1-9a7f-a8cc2944de24' '024c80d1-c385-43f5-9d4c-ad2ac953a26c');
  _k0 = _ord;
run;
data work.final;
  length col1 col2 col3 $200 _pagelbl $200;
  set work._inst work._fixed;
run;
proc sort data=work.final; by _page _k0; run;
data work.final;
  set work.final;
  _ord = _n_;
  keep _page _pagelbl _ord _indent _rowid _kind rowlabel col1 col2 col3;
run;

/*==== 90-report ====*/
/* 90-report: from the shell; the titles, columns, headers and footnotes are not changed here. */
%ls_need(_bign1 _bign2 _bign3);
%ls_final_check(columns=_page _pagelbl _ord _indent _rowid _kind rowlabel col1 col2 col3);
proc sort data=work.final out=work._report; by _page _ord; run;
data work._report;
  set work._report;
  /* Two spaces per step of indentation: the label column keeps leading spaces (asis=on). */
  if _indent > 0 then rowlabel = repeat(' ', 2 * _indent - 1) || rowlabel;
run;
%let _lspaged = 0;
proc sql noprint; select count(*) into :_lspaged trimmed from work._report where _pagelbl ne ''; quit;

options orientation=landscape;
ods listing close;
ods rtf file="/work/out/t-14-3-07.rtf" style=journal;
title1 j=l "CDISCPILOT01" j=r "Page ~{thispage} of ~{lastpage}";
title2 j=c "Table 14-3.07";
title3 j=c "ADAS Cog (11) - Change from Baseline to Week 24 - Completers at Wk 24-Observed Cases-Windowed";
title4 j=c "Completers Analysis Set";
footnote1 j=l "[1] Based on Analysis of covariance (ANCOVA) model with treatment and site group as factors and baseline value as a covariate.";
footnote2 j=l "[2] Test for a non-zero coefficient for treatment (dose) as a continuous variable.";
footnote3 j=l "[3] Pairwise comparison with treatment as a categorical variable: p-values without adjustment for multiple comparisons.";
footnote4 j=l "Note that only assessments falling within the assessment window are included in the summary for a visit.";
footnote5 j=l "Program: t-14-3-07.sas";
%macro _ls_report;
proc report data=work._report nowd split='|' missing style(report)={width=100%};
  column _page _pagelbl _ord _indent _kind rowlabel col1 col2 col3;
  define _page / order order=internal noprint;
  define _pagelbl / order noprint;
  define _ord / order order=internal noprint;
  define _indent / display noprint;
  define _kind / display noprint;
  define rowlabel / display "" style(column)={cellwidth=40% asis=on} style(header)={just=l};
  define col1 / display "Placebo|(N=&_bign1.)" style(column)={cellwidth=20% just=c} style(header)={just=c};
  define col2 / display "Xanomeline Low Dose|(N=&_bign2.)" style(column)={cellwidth=20% just=c} style(header)={just=c};
  define col3 / display "Xanomeline High Dose|(N=&_bign3.)" style(column)={cellwidth=20% just=c} style(header)={just=c};
  %if &_lspaged > 0 %then %do;
  compute before _pagelbl / style={just=l};
    line _pagelbl $200.;
  endcomp;
  %end;
  break after _page / page;
run;
%mend _ls_report;
%_ls_report;
ods rtf close;
ods listing;
%ls_final_export;