14-4.01

Summary of Planned Exposure to Study Drug, as of End of Study

Made 2026-10-17 from uploaded data.

Program t-14-4-01.sas

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

/*==== 00-header ====*/
/*----------------------------------------------------------------------------
  Output  : Table 14-4.01 / Summary of Planned Exposure to Study Drug, as of End of Study / Safety Analysis Set
  Program : t-14-4-01.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)
    col4      Placebo|(N=xx)
    col5      Xanomeline Low Dose|(N=xx)
    col6      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)
    &_bign4    Placebo|(N=xx)
    &_bign5    Xanomeline Low Dose|(N=xx)
    &_bign6    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-_xx6). */
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 _xx4 $40 _xx5 $40 _xx6 $40;
  _page = 1; _pagelbl = '';
  _ord=1; _indent=0; _rowid='223a7ab4-e469-459f-b19c-d045e0c4e1fa'; _kind='label'; _var=''; rowlabel='Average daily dose (mg)'; _xx1=''; _xx2=''; _xx3=''; _xx4=''; _xx5=''; _xx6=''; output;
  _ord=2; _indent=1; _rowid='7c71a448-101a-4c77-b132-c3642e03ac58'; _kind='stat'; _var=''; rowlabel='n'; _xx1='xx'; _xx2='xx'; _xx3='xx'; _xx4='xx'; _xx5='xx'; _xx6='xx'; output;
  _ord=3; _indent=1; _rowid='a7231fa5-96e2-4632-9faf-466f0479ed07'; _kind='stat'; _var=''; rowlabel='mean'; _xx1='xx.x'; _xx2='xx.x'; _xx3='xx.x'; _xx4='xx.x'; _xx5='xx.x'; _xx6='xx.x'; output;
  _ord=4; _indent=1; _rowid='7f6e50c6-c237-4ccb-b342-73a96cfabb85'; _kind='stat'; _var=''; rowlabel='std'; _xx1='xx.xx'; _xx2='xx.xx'; _xx3='xx.xx'; _xx4='xx.xx'; _xx5='xx.xx'; _xx6='xx.xx'; output;
  _ord=5; _indent=1; _rowid='f1f9c4a4-f749-4813-a633-64ffe1adc88d'; _kind='stat'; _var=''; rowlabel='median'; _xx1='xx.x'; _xx2='xx.x'; _xx3='xx.x'; _xx4='xx.x'; _xx5='xx.x'; _xx6='xx.x'; output;
  _ord=6; _indent=1; _rowid='e5a8dcd2-65e2-40ce-876d-1d886b1fecc3'; _kind='stat'; _var=''; rowlabel='min'; _xx1='xx.x'; _xx2='xx.x'; _xx3='xx.x'; _xx4='xx.x'; _xx5='xx.x'; _xx6='xx.x'; output;
  _ord=7; _indent=1; _rowid='d7ff5363-e51b-43be-a7e7-f0fd38dc5b2e'; _kind='stat'; _var=''; rowlabel='max'; _xx1='xx.x'; _xx2='xx.x'; _xx3='xx.x'; _xx4='xx.x'; _xx5='xx.x'; _xx6='xx.x'; output;
  _ord=8; _indent=0; _rowid='blank-8'; _kind='blank'; _var=''; rowlabel=''; _xx1=''; _xx2=''; _xx3=''; _xx4=''; _xx5=''; _xx6=''; output;
  _ord=9; _indent=0; _rowid='1778241d-8d80-4f0d-b4bf-33e9a460e9cb'; _kind='label'; _var=''; rowlabel='Cumulative dose at end of study [2]'; _xx1=''; _xx2=''; _xx3=''; _xx4=''; _xx5=''; _xx6=''; output;
  _ord=10; _indent=1; _rowid='9c017f27-fc64-4cda-a8c3-9af229f7a175'; _kind='stat'; _var=''; rowlabel='n'; _xx1='xx'; _xx2='xx'; _xx3='xx'; _xx4='xx'; _xx5='xx'; _xx6='xx'; output;
  _ord=11; _indent=1; _rowid='ff63463c-1ff7-490b-b88b-ca1b00ba511d'; _kind='stat'; _var=''; rowlabel='mean'; _xx1='xx.x'; _xx2='xx.x'; _xx3='xx.x'; _xx4='xx.x'; _xx5='xx.x'; _xx6='xx.x'; output;
  _ord=12; _indent=1; _rowid='3b7e5b5e-efe8-46af-ac2d-9f671dfa6bb3'; _kind='stat'; _var=''; rowlabel='std'; _xx1='xx.xx'; _xx2='xx.xx'; _xx3='xx.xx'; _xx4='xx.xx'; _xx5='xx.xx'; _xx6='xx.xx'; output;
  _ord=13; _indent=1; _rowid='8f3afc3a-e402-4678-a78a-433028d2a1a6'; _kind='stat'; _var=''; rowlabel='median'; _xx1='xx.x'; _xx2='xx.x'; _xx3='xx.x'; _xx4='xx.x'; _xx5='xx.x'; _xx6='xx.x'; output;
  _ord=14; _indent=1; _rowid='9485d671-3e29-4bc2-b0e3-dd97bf90d95f'; _kind='stat'; _var=''; rowlabel='min'; _xx1='xx.x'; _xx2='xx.x'; _xx3='xx.x'; _xx4='xx.x'; _xx5='xx.x'; _xx6='xx.x'; output;
  _ord=15; _indent=1; _rowid='52009639-a6b0-48e1-84b9-f025aacd5ef9'; _kind='stat'; _var=''; rowlabel='max'; _xx1='xx.x'; _xx2='xx.x'; _xx3='xx.x'; _xx4='xx.x'; _xx5='xx.x'; _xx6='xx.x'; output;
run;

/*==== 10-data ====*/
/* Made from the output's analysis: the subjects of ADSL with SAFFL = 'Y', by TRT01A. */
data work._an;
  set adam.adsl(where=(saffl = 'Y'));
  if trt01a in ('Placebo') and comp24fl = 'Y' then do; _col = 1; output; end;
  if trt01a in ('Xanomeline Low Dose') and comp24fl = 'Y' then do; _col = 2; output; end;
  if trt01a in ('Xanomeline High Dose') and comp24fl = 'Y' then do; _col = 3; output; end;
  if trt01a in ('Placebo') then do; _col = 4; output; end;
  if trt01a in ('Xanomeline Low Dose') then do; _col = 5; output; end;
  if trt01a in ('Xanomeline High Dose') then do; _col = 6; output; end;
run;
data work._popc; set work._an(keep=usubjid _col); run;
data work._cols; do _col = 1 to 6; output; end; run;
%ls_bign(data=work._popc, trt=_col, values=1|2|3|4|5|6|1|2|3|4|5|6, names=_lsn1 _lsn2 _lsn3 _lsn4 _lsn5 _lsn6 _bign1 _bign2 _bign3 _bign4 _bign5 _bign6);

/* Subjects and records per column. */
proc sort data=work._an(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{6} _n1-_n6;
  array _ee{6} _e1-_e6;
  do _i = 1 to 6; _nn{_i} = sum(_nn{_i}, 0); _ee{_i} = sum(_ee{_i}, 0); end;
  _tot = sum(of _n1-_n6);
  drop _i _z;
run;
/* n: n of AVGDD. */
data work._f; set work._g0; do _col = 1 to 6; output; end; run;
proc sort data=work._an(keep=_col avgdd) 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(avgdd) 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{6} _n1-_n6;
  array _ee{6} _e1-_e6;
  _rowid = '7c71a448-101a-4c77-b132-c3642e03ac58';
  _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;
/* mean: mean of AVGDD. */
data work._f; set work._g0; do _col = 1 to 6; output; end; run;
%ls_stats(data=work._an, out=work._st, var=avgdd, trt=_col, keepraw=Y);
proc sort data=work._an(keep=_col avgdd) 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(avgdd) 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{6} _n1-_n6;
  array _ee{6} _e1-_e6;
  _rowid = 'a7231fa5-96e2-4632-9faf-466f0479ed07';
  _page = 1;
  _pagelbl = '';
  _k0 = 3;
  _label = '';
  _v = strip(ifc(missing(_vmean), '-', %ls_num(_vmean, 1)));
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
/* std: sd of AVGDD. */
data work._f; set work._g0; do _col = 1 to 6; output; end; run;
%ls_stats(data=work._an, out=work._st, var=avgdd, trt=_col, keepraw=Y);
proc sort data=work._an(keep=_col avgdd) 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(avgdd) 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{6} _n1-_n6;
  array _ee{6} _e1-_e6;
  _rowid = '7f6e50c6-c237-4ccb-b342-73a96cfabb85';
  _page = 1;
  _pagelbl = '';
  _k0 = 4;
  _label = '';
  _v = strip(ifc(missing(_vsd), '-', %ls_num(_vsd, 2)));
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
/* median: median of AVGDD. */
data work._f; set work._g0; do _col = 1 to 6; output; end; run;
%ls_stats(data=work._an, out=work._st, var=avgdd, trt=_col, keepraw=Y);
proc sort data=work._an(keep=_col avgdd) 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(avgdd) 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._st work._m;
  by _col;
  if _in;
  array _nn{6} _n1-_n6;
  array _ee{6} _e1-_e6;
  _rowid = 'f1f9c4a4-f749-4813-a633-64ffe1adc88d';
  _page = 1;
  _pagelbl = '';
  _k0 = 5;
  _label = '';
  _v = strip(ifc(missing(_vmedian), '-', %ls_num(_vmedian, 1)));
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
/* min: min of AVGDD. */
data work._f; set work._g0; do _col = 1 to 6; output; end; run;
%ls_stats(data=work._an, out=work._st, var=avgdd, trt=_col, keepraw=Y);
proc sort data=work._an(keep=_col avgdd) 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(avgdd) 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{6} _n1-_n6;
  array _ee{6} _e1-_e6;
  _rowid = 'e5a8dcd2-65e2-40ce-876d-1d886b1fecc3';
  _page = 1;
  _pagelbl = '';
  _k0 = 6;
  _label = '';
  _v = strip(ifc(missing(_vmin), '-', %ls_num(_vmin, 1)));
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
/* max: max of AVGDD. */
data work._f; set work._g0; do _col = 1 to 6; output; end; run;
%ls_stats(data=work._an, out=work._st, var=avgdd, trt=_col, keepraw=Y);
proc sort data=work._an(keep=_col avgdd) 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(avgdd) 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{6} _n1-_n6;
  array _ee{6} _e1-_e6;
  _rowid = 'd7ff5363-e51b-43be-a7e7-f0fd38dc5b2e';
  _page = 1;
  _pagelbl = '';
  _k0 = 7;
  _label = '';
  _v = strip(ifc(missing(_vmax), '-', %ls_num(_vmax, 1)));
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
/* n: n of CUMDOSE. */
data work._f; set work._g0; do _col = 1 to 6; output; end; run;
proc sort data=work._an(keep=_col cumdose) 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(cumdose) 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{6} _n1-_n6;
  array _ee{6} _e1-_e6;
  _rowid = '9c017f27-fc64-4cda-a8c3-9af229f7a175';
  _page = 1;
  _pagelbl = '';
  _k0 = 10;
  _label = '';
  _v = strip(ifc(missing(sum(_vnm, 0)), '-', %ls_num(sum(_vnm, 0), 0)));
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
/* mean: mean of CUMDOSE. */
data work._f; set work._g0; do _col = 1 to 6; output; end; run;
%ls_stats(data=work._an, out=work._st, var=cumdose, trt=_col, keepraw=Y);
proc sort data=work._an(keep=_col cumdose) 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(cumdose) 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{6} _n1-_n6;
  array _ee{6} _e1-_e6;
  _rowid = 'ff63463c-1ff7-490b-b88b-ca1b00ba511d';
  _page = 1;
  _pagelbl = '';
  _k0 = 11;
  _label = '';
  _v = strip(ifc(missing(_vmean), '-', %ls_num(_vmean, 1)));
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
/* std: sd of CUMDOSE. */
data work._f; set work._g0; do _col = 1 to 6; output; end; run;
%ls_stats(data=work._an, out=work._st, var=cumdose, trt=_col, keepraw=Y);
proc sort data=work._an(keep=_col cumdose) 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(cumdose) 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{6} _n1-_n6;
  array _ee{6} _e1-_e6;
  _rowid = '3b7e5b5e-efe8-46af-ac2d-9f671dfa6bb3';
  _page = 1;
  _pagelbl = '';
  _k0 = 12;
  _label = '';
  _v = strip(ifc(missing(_vsd), '-', %ls_num(_vsd, 2)));
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
/* median: median of CUMDOSE. */
data work._f; set work._g0; do _col = 1 to 6; output; end; run;
%ls_stats(data=work._an, out=work._st, var=cumdose, trt=_col, keepraw=Y);
proc sort data=work._an(keep=_col cumdose) 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(cumdose) then _vmiss = _vmiss + 1; else _vnm = _vnm + 1;
  if last._col then output;
  keep _col _vmiss _vnm;
run;
data work._k10;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._st work._m;
  by _col;
  if _in;
  array _nn{6} _n1-_n6;
  array _ee{6} _e1-_e6;
  _rowid = '8f3afc3a-e402-4678-a78a-433028d2a1a6';
  _page = 1;
  _pagelbl = '';
  _k0 = 13;
  _label = '';
  _v = strip(ifc(missing(_vmedian), '-', %ls_num(_vmedian, 1)));
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
/* min: min of CUMDOSE. */
data work._f; set work._g0; do _col = 1 to 6; output; end; run;
%ls_stats(data=work._an, out=work._st, var=cumdose, trt=_col, keepraw=Y);
proc sort data=work._an(keep=_col cumdose) 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(cumdose) then _vmiss = _vmiss + 1; else _vnm = _vnm + 1;
  if last._col then output;
  keep _col _vmiss _vnm;
run;
data work._k11;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._st work._m;
  by _col;
  if _in;
  array _nn{6} _n1-_n6;
  array _ee{6} _e1-_e6;
  _rowid = '9485d671-3e29-4bc2-b0e3-dd97bf90d95f';
  _page = 1;
  _pagelbl = '';
  _k0 = 14;
  _label = '';
  _v = strip(ifc(missing(_vmin), '-', %ls_num(_vmin, 1)));
  keep _rowid _label _page _pagelbl _k0 _col _v;
run;
/* max: max of CUMDOSE. */
data work._f; set work._g0; do _col = 1 to 6; output; end; run;
%ls_stats(data=work._an, out=work._st, var=cumdose, trt=_col, keepraw=Y);
proc sort data=work._an(keep=_col cumdose) 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(cumdose) then _vmiss = _vmiss + 1; else _vnm = _vnm + 1;
  if last._col then output;
  keep _col _vmiss _vnm;
run;
data work._k12;
  length _rowid $36 _label _pagelbl $200 _v $200;
  merge work._f(in=_in) work._st work._m;
  by _col;
  if _in;
  array _nn{6} _n1-_n6;
  array _ee{6} _e1-_e6;
  _rowid = '52009639-a6b0-48e1-84b9-f025aacd5ef9';
  _page = 1;
  _pagelbl = '';
  _k0 = 15;
  _label = '';
  _v = strip(ifc(missing(_vmax), '-', %ls_num(_vmax, 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; 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 ('7c71a448-101a-4c77-b132-c3642e03ac58' 'a7231fa5-96e2-4632-9faf-466f0479ed07' '7f6e50c6-c237-4ccb-b342-73a96cfabb85' 'f1f9c4a4-f749-4813-a633-64ffe1adc88d' 'e5a8dcd2-65e2-40ce-876d-1d886b1fecc3' 'd7ff5363-e51b-43be-a7e7-f0fd38dc5b2e' '9c017f27-fc64-4cda-a8c3-9af229f7a175' 'ff63463c-1ff7-490b-b88b-ca1b00ba511d' '3b7e5b5e-efe8-46af-ac2d-9f671dfa6bb3' '8f3afc3a-e402-4678-a78a-433028d2a1a6' '9485d671-3e29-4bc2-b0e3-dd97bf90d95f' '52009639-a6b0-48e1-84b9-f025aacd5ef9');
  _k0 = _ord;
run;
data work.final;
  length col1 col2 col3 col4 col5 col6 $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 col4 col5 col6;
run;

/*==== 90-report ====*/
/* 90-report: from the shell; the titles, columns, headers and footnotes are not changed here. */
%ls_need(_bign1 _bign2 _bign3 _bign4 _bign5 _bign6);
%ls_final_check(columns=_page _pagelbl _ord _indent _rowid _kind rowlabel col1 col2 col3 col4 col5 col6);
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-14-4-01.rtf" style=journal;
title1 j=l "CDISCPILOT01" j=r "Page ~{thispage} of ~{lastpage}";
title2 j=c "Table 14-4.01";
title3 j=c "Summary of Planned Exposure to Study Drug, as of End of Study";
title4 j=c "Safety Analysis Set";
footnote1 j=l "[1] Includes completers and early terminations.";
footnote2 j=l "[2] End of Study refers to week 26/discontinuation. Cumulative dose is based on administered dose.";
footnote3 j=l "Program: t-14-4-01.sas";
%macro _ls_report;
proc report data=work._report nowd split='|' missing style(report)={width=100%};
  column _page _pagelbl _ord _indent _kind rowlabel ("Completers at Week 24" col1 col2 col3) ("Safety Population [1]" col4 col5 col6);
  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=10% just=c} style(header)={just=c};
  define col2 / display "Xanomeline Low Dose|(N=&_bign2.)" style(column)={cellwidth=10% just=c} style(header)={just=c};
  define col3 / display "Xanomeline High Dose|(N=&_bign3.)" style(column)={cellwidth=10% just=c} style(header)={just=c};
  define col4 / display "Placebo|(N=&_bign4.)" style(column)={cellwidth=10% just=c} style(header)={just=c};
  define col5 / display "Xanomeline Low Dose|(N=&_bign5.)" style(column)={cellwidth=10% just=c} style(header)={just=c};
  define col6 / display "Xanomeline High Dose|(N=&_bign6.)" style(column)={cellwidth=10% 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;