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820 lines (726 loc) · 18.6 KB
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program define glmreport
syntax varlist [if] [pweight] [, iv(varlist) covars(string) fam(name) link(name) error(name) star cat(numlist max=1 integer) estround(numlist max=1 integer) iterate(numlist max=1 integer) vce(string)]
*Revised/Rewritten 05/25/2011 Nick Jackson
*PROGRAM Version 3.8-added iterate
*Version 4.0 12/24/2011-Replaced "results" command with "resout"
*Version 4.1 04/05/2012-Allows i. in Covars List
*Version 4.2 05/11/2012: added VCE option
*version 11
qui {
tempfile faketemp output temp
save `faketemp', replace
if "`iterate'" == "" {
local itnum=500
}
if "`iterate'" != "" {
local itnum=`iterate'
}
clear
set more off
set obs 1
gen outcome=""
gen N=.
save `output', replace
use `faketemp', clear
foreach iv in `iv' {
use `faketemp', clear
inspect `iv'
local num= r(N_unique)
foreach var of varlist `varlist' {
use `faketemp', clear
*For categorical Predictors
if "`cat'"!="" {
local cutpoint=`cat'
}
else {
local cutpoint=9
}
if "`vce'"!="" {
local vcetype `vce'
}
if "`vce'"=="" & "`weight'"=="" {
local vcetype oim
}
if "`vce'"=="" & "`weight'"!="" {
local vcetype robust
}
if `num' <=`cutpoint' {
if "`weight'" !="" {
glm `var' i.`iv' `covars' $_if [`weight' `exp'], family(`fam') link(`link') iterate(`itnum') vce(`vcetype')
}
else {
glm `var' i.`iv' `covars' $_if , family(`fam') link(`link') iterate(`itnum') vce(`vcetype')
}
capture drop resid
predict resid if e(sample), pearson
sum resid $_if , detail
local skew=r(skewness)
local N=r(N)
testparm i.`iv'
local p=r(p)
if "`estround'" !="" {
if "`link'" == "log" | "`link'" == "logit" {
if "`error'"=="ci" {
resout, error(ci) exp pvalue estround(`estround')
replace p = "0.0000" if p=="<.0001"
}
else {
resout, error(se) exp pvalue estround(`estround')
replace p = "0.0000" if p=="<.0001"
}
}
else {
if "`error'"=="ci" {
resout, error(ci) pvalue estround(`estround')
replace p = "0.0000" if p=="<.0001"
}
else {
resout, error(se) pvalue estround(`estround')
replace p = "0.0000" if p=="<.0001"
}
}
}
else {
if "`link'" == "log" | "`link'" == "logit" {
if "`error'"=="ci" {
resout, error(ci) exp pvalue
replace p = "0.0000" if p=="<.0001"
}
else {
resout, error(se) exp pvalue
replace p = "0.0000" if p=="<.0001"
}
}
else {
if "`error'"=="ci" {
resout, error(ci) pvalue
replace p = "0.0000" if p=="<.0001"
}
else {
resout, error(se) pvalue
replace p = "0.0000" if p=="<.0001"
}
}
}
gen p_all=`p'
gen residskew=`skew'
tostring residskew, force format(%9.1f) replace
rename var iv
gen outcome="`var'"
gen N=`N'
save `temp', replace
use `output', clear
append using `temp'
save `output', replace
}
*For Continuous Predictors
else {
if "`weight'" !="" {
glm `var' `iv' `covars' $_if [`weight' `exp'], family(`fam') link(`link') iterate(`itnum') vce(`vcetype')
}
else {
glm `var' `iv' `covars' $_if , family(`fam') link(`link') iterate(`itnum') vce(`vcetype')
}
capture drop resid
predict resid if e(sample), pearson
sum resid $_if , detail
local skew=r(skewness)
local N=r(N)
test `iv'
local p=r(p)
if "`estround'" !="" {
if "`link'" == "log" | "`link'" == "logit" {
if "`error'"=="ci" {
resout, error(ci) exp pvalue estround(`estround')
replace p = "0.0000" if p=="<.0001"
}
else {
resout, error(se) exp pvalue estround(`estround')
replace p = "0.0000" if p=="<.0001"
}
}
else {
if "`error'"=="ci" {
resout, error(ci) pvalue estround(`estround')
replace p = "0.0000" if p=="<.0001"
}
else {
resout, error(se) pvalue estround(`estround')
replace p = "0.0000" if p=="<.0001"
}
}
}
else {
if "`link'" == "log" | "`link'" == "logit" {
if "`error'"=="ci" {
resout, error(ci) exp pvalue
replace p = "0.0000" if p=="<.0001"
}
else {
resout, error(se) exp pvalue
replace p = "0.0000" if p=="<.0001"
}
}
else {
if "`error'"=="ci" {
resout, error(ci) pvalue
replace p = "0.0000" if p=="<.0001"
}
else {
resout, error(se) pvalue
replace p = "0.0000" if p=="<.0001"
}
}
}
gen p_all=`p'
gen residskew=`skew'
tostring residskew, force format(%9.1f) replace
rename var iv
gen outcome="`var'"
gen N=`N'
save `temp', replace
use `output', clear
append using `temp'
save `output', replace
}
}
}
split iv, p(.) gen(ind)
gen covar=""
foreach x in `covars' {
replace covar="`x'"
split covar, p(.) gen(new)
capture drop if ind2==new2
capture drop if ind2==new1
capture drop if ind1==new2
capture drop if ind1==new1
drop new*
}
capture drop covar
capture drop ind*
drop if outcome==""
label var outcome "Outcome"
label var iv "Independent Variable"
label var residskew "Skewness of Residuals"
label var est "Estimate"
label var p "P Value for IV"
label var p_all "Omnibus P Value for Categorical IV's"
if "`star'" =="" {
tostring p p_all, force format(%9.4f) replace
replace p = "<.0001" if p=="0.0000"
replace p_all = "<.0001" if p_all=="0.0000"
}
if "`star'" !="" {
destring p, replace
gen star="†" if p <=0.10
replace star="*" if p<=0.05
replace star="**" if p<=0.01
replace star="***" if p<=0.001
replace est=star+est
drop star
tostring p p_all, force format(%9.4f) replace
replace p = "<.0001" if p=="0.0000"
replace p_all = "<.0001" if p_all=="0.0000"
}
}
end
exit
/*CODE FROM BEFORE 05/24/2011
qui {
*preserve
save faketemp.dta, replace
clear
set more off
set obs 1
gen var=""
save output.dta, replace
use faketemp.dta, clear
foreach iv in `iv' {
use faketemp.dta, clear
tab `iv'
local num=r(r)
foreach var of varlist `varlist' {
use faketemp.dta, clear
/***Overall Adjusted means***/
if `num' == 2 {
glm `var' i.`iv' `covars' $_if , family(`fam') link(`link') eform
capture drop resid
predict resid if e(sample), pearson
sum resid $_if , detail
local skew=r(skewness)
test 1.`iv'
local p=r(p)
estout using temp.txt, cells(b ci) replace eform
estout using temp1.txt, cells(b ci) replace
/***Exponentiated Coef*/
insheet using temp.txt, clear
keep v2
rename v2 est
keep in 6/7
egen float id = seq(), from(1) to(2) block(2)
egen float order = seq(), from(1) to(2) block(1)
reshape wide est, i(id) j(order)
split est2, p(,)
destring est1 est21 est22, replace
gen cihigh=est22
gen cilow=est21
local est1=est1
if `est1' >=1000 {
tostring est1 ci*, force format(%9.0fc) replace
}
if `est1' >=10 & `est1' <1000 {
tostring est1 ci*, force format(%9.1f) replace
}
if `est1' <10 {
tostring est1 ci*, force format(%9.3f) replace
}
gen est=est1 + " (" + cilow + " - " + cihigh + ")"
keep id est1 cilow cihigh
gen var="`var'"
gen iv="`iv'"
drop id
rename est expB
save temp.dta, replace
/***Reg Coef*/
insheet using temp1.txt, clear
keep v2
rename v2 est
keep in 6/7
egen float id = seq(), from(1) to(2) block(2)
egen float order = seq(), from(1) to(2) block(1)
reshape wide est, i(id) j(order)
split est2, p(,)
destring est1 est21 est22, replace
gen cihigh=est22
gen cilow=est21
local est1=est1
if `est1' >=1000 {
tostring est1 ci*, force format(%9.0fc) replace
}
if `est1' >=10 & `est1' <1000 {
tostring est1 ci*, force format(%9.1f) replace
}
if `est1' <10 {
tostring est1 ci*, force format(%9.3f) replace
}
gen est=est1 + " (" + cilow + " - " + cihigh + ")"
keep id est
gen var="`var'"
drop id
rename est B
gen iv="`iv'"
gen p=`p'
tostring p, force format(%9.4f) replace
save temp1.dta, replace
use temp.dta, clear
joinby var iv using temp1.dta, unmatched(none)
gen skew=`skew'
tostring skew, force format(%9.1f) replace
save temp.dta, replace
use output.dta, clear
append using temp.dta
save output.dta, replace
noi: display "You have modeled `var'=`iv' + `covars' with famliy(`fam') and link(`link')"
}
else if `num' == 3 {
glm `var' i.`iv' `covars' $_if , family(`fam') link(`link') eform
capture drop resid
predict resid if e(sample), pearson
sum resid $_if , detail
local skew=r(skewness)
test 2.`iv' 3.`iv'
local p=r(p)
test 2.`iv'
local p2=r(p)
test 3.`iv'
local p3=r(p)
estout using temp.txt, cells(b ci) replace eform
estout using temp1.txt, cells(b ci) replace
/***Exponentiated Coef*/
insheet using temp.txt, clear
keep v2
rename v2 est
keep in 6/9
egen float id = seq(), from(1) to(2) block(2)
egen float order = seq(), from(1) to(2) block(1)
reshape wide est, i(id) j(order)
split est2, p(,)
destring est1 est21 est22, replace
gen cihigh=est22
gen cilow=est21
local est1=est1
if `est1' >=1000 {
tostring est1 ci*, force format(%9.0fc) replace
}
if `est1' >=10 & `est1' <1000 {
tostring est1 ci*, force format(%9.1f) replace
}
if `est1' <10 {
tostring est1 ci*, force format(%9.3f) replace
}
gen est=est1 + " (" + cilow + " - " + cihigh + ")"
keep id est
gen var="`var'"
gen iv="`iv'"
rename id grporder
rename est expB
save temp.dta, replace
/***Reg Coef*/
insheet using temp1.txt, clear
keep v2
rename v2 est
keep in 6/9
egen float id = seq(), from(1) to(2) block(2)
egen float order = seq(), from(1) to(2) block(1)
reshape wide est, i(id) j(order)
split est2, p(,)
destring est1 est21 est22, replace
gen cihigh=est22
gen cilow=est21
local est1=est1
if `est1' >=1000 {
tostring est1 ci*, force format(%9.0fc) replace
}
if `est1' >=10 & `est1' <1000 {
tostring est1 ci*, force format(%9.1f) replace
}
if `est1' <10 {
tostring est1 ci*, force format(%9.3f) replace
}
gen est=est1 + " (" + cilow + " - " + cihigh + ")"
keep id est
gen var="`var'"
gen iv="`iv'"
rename id grporder
rename est B
gen p=`p'
gen pvar=`p2' if grporder==1
replace pvar=`p3' if grporder==2
tostring p*, force format(%9.4f) replace
save temp1.dta, replace
use temp.dta, clear
joinby var iv grporder using temp1.dta, unmatched(none)
gen skew=`skew'
tostring skew, force format(%9.1f) replace
save temp.dta, replace
use output.dta, clear
append using temp.dta
save output.dta, replace
noi: display "You have modeled `var'=`iv' + `covars' with famliy(`fam') and link(`link')"
}
else if `num' == 4 {
glm `var' i.`iv' `covars' $_if , family(`fam') link(`link') eform
capture drop resid
predict resid if e(sample), pearson
sum resid $_if , detail
local skew=r(skewness)
test 2.`iv' 3.`iv' 4.`iv'
local p=r(p)
test 2.`iv'
local p2=r(p)
test 3.`iv'
local p3=r(p)
test 4.`iv'
local p4=r(p)
estout using temp.txt, cells(b ci) replace eform
estout using temp1.txt, cells(b ci) replace
/***Exponentiated Coef*/
insheet using temp.txt, clear
keep v2
rename v2 est
keep in 6/11
egen float id = seq(), from(1) to(3) block(2)
egen float order = seq(), from(1) to(2) block(1)
reshape wide est, i(id) j(order)
split est2, p(,)
destring est1 est21 est22, replace
gen cihigh=est22
gen cilow=est21
local est1=est1
if `est1' >=1000 {
tostring est1 ci*, force format(%9.0fc) replace
}
if `est1' >=10 & `est1' <1000 {
tostring est1 ci*, force format(%9.1f) replace
}
if `est1' <10 {
tostring est1 ci*, force format(%9.3f) replace
}
gen est=est1 + " (" + cilow + " - " + cihigh + ")"
keep id est
gen var="`var'"
gen iv="`iv'"
rename id grporder
rename est expB
save temp.dta, replace
/***Reg Coef*/
insheet using temp1.txt, clear
keep v2
rename v2 est
keep in 6/11
egen float id = seq(), from(1) to(3) block(2)
egen float order = seq(), from(1) to(2) block(1)
reshape wide est, i(id) j(order)
split est2, p(,)
destring est1 est21 est22, replace
gen cihigh=est22
gen cilow=est21
local est1=est1
if `est1' >=1000 {
tostring est1 ci*, force format(%9.0fc) replace
}
if `est1' >=10 & `est1' <1000 {
tostring est1 ci*, force format(%9.1f) replace
}
if `est1' <10 {
tostring est1 ci*, force format(%9.3f) replace
}
gen est=est1 + " (" + cilow + " - " + cihigh + ")"
keep id est
gen var="`var'"
gen iv="`iv'"
rename id grporder
rename est B
gen p=`p'
gen pvar=`p2' if grporder==1
replace pvar=`p3' if grporder==2
replace pvar=`p4' if grporder==3
tostring p*, force format(%9.4f) replace
save temp1.dta, replace
use temp.dta, clear
joinby var iv grporder using temp1.dta, unmatched(none)
gen skew=`skew'
tostring skew, force format(%9.1f) replace
save temp.dta, replace
use output.dta, clear
append using temp.dta
save output.dta, replace
noi: display "You have modeled `var'=`iv' + `covars' with famliy(`fam') and link(`link')"
}
else if `num' == 5 {
glm `var' i.`iv' `covars' $_if , family(`fam') link(`link') eform
capture drop resid
predict resid if e(sample), pearson
sum resid $_if , detail
local skew=r(skewness)
test 2.`iv' 3.`iv' 4.`iv' 5.`iv'
local p=r(p)
test 2.`iv'
local p2=r(p)
test 3.`iv'
local p3=r(p)
test 4.`iv'
local p4=r(p)
test 5.`iv'
local p5=r(p)
estout using temp.txt, cells(b ci) replace eform
estout using temp1.txt, cells(b ci) replace
/***Exponentiated Coef*/
insheet using temp.txt, clear
keep v2
rename v2 est
keep in 6/13
egen float id = seq(), from(1) to(4) block(2)
egen float order = seq(), from(1) to(2) block(1)
reshape wide est, i(id) j(order)
split est2, p(,)
destring est1 est21 est22, replace
gen cihigh=est22
gen cilow=est21
local est1=est1
if `est1' >=1000 {
tostring est1 ci*, force format(%9.0fc) replace
}
if `est1' >=10 & `est1' <1000 {
tostring est1 ci*, force format(%9.1f) replace
}
if `est1' <10 {
tostring est1 ci*, force format(%9.3f) replace
}
gen est=est1 + " (" + cilow + " - " + cihigh + ")"
keep id est
gen var="`var'"
gen iv="`iv'"
rename id grporder
rename est expB
save temp.dta, replace
/***Reg Coef*/
insheet using temp1.txt, clear
keep v2
rename v2 est
keep in 6/13
egen float id = seq(), from(1) to(4) block(2)
egen float order = seq(), from(1) to(2) block(1)
reshape wide est, i(id) j(order)
split est2, p(,)
destring est1 est21 est22, replace
gen cihigh=est22
gen cilow=est21
local est1=est1
if `est1' >=1000 {
tostring est1 ci*, force format(%9.0fc) replace
}
if `est1' >=10 & `est1' <1000 {
tostring est1 ci*, force format(%9.1f) replace
}
if `est1' <10 {
tostring est1 ci*, force format(%9.3f) replace
}
gen est=est1 + " (" + cilow + " - " + cihigh + ")"
keep id est
gen var="`var'"
gen iv="`iv'"
rename id grporder
rename est B
gen p=`p'
gen pvar=`p2' if grporder==1
replace pvar=`p3' if grporder==2
replace pvar=`p4' if grporder==3
replace pvar=`p5' if grporder==4
tostring p*, force format(%9.4f) replace
save temp1.dta, replace
use temp.dta, clear
joinby var grporder using temp1.dta, unmatched(none)
gen skew=`skew'
tostring skew, force format(%9.1f) replace
save temp.dta, replace
use output.dta, clear
append using temp.dta
save output.dta, replace
noi: display "You have modeled `var'=`iv' + `covars' with famliy(`fam') and link(`link')"
}
else if `num' > 5 {
glm `var' `iv' `covars' $_if , family(`fam') link(`link') eform
capture drop resid
predict resid if e(sample), pearson
sum resid $_if , detail
local skew=r(skewness)
test `iv'
local p=r(p)
estout using temp.txt, cells(b ci) replace eform
estout using temp1.txt, cells(b ci) replace
/***Exponentiated Coef*/
insheet using temp.txt, clear
keep v2
rename v2 est
keep in 4/5
egen float id = seq(), from(1) to(4) block(2)
egen float order = seq(), from(1) to(2) block(1)
reshape wide est, i(id) j(order)
split est2, p(,)
destring est1 est21 est22, replace
gen cihigh=est22
gen cilow=est21
local est1=est1
if `est1' >=1000 {
tostring est1 ci*, force format(%9.0fc) replace
}
if `est1' >=10 & `est1' <1000 {
tostring est1 ci*, force format(%9.1f) replace
}
if `est1' <10 {
tostring est1 ci*, force format(%9.3f) replace
}
gen est=est1 + " (" + cilow + " - " + cihigh + ")"
keep id est
gen var="`var'"
gen iv="`iv'"
drop id
rename est expB
save temp.dta, replace
/***Reg Coef*/
insheet using temp1.txt, clear
keep v2
rename v2 est
keep in 4/5
egen float id = seq(), from(1) to(4) block(2)
egen float order = seq(), from(1) to(2) block(1)
reshape wide est, i(id) j(order)
split est2, p(,)
destring est1 est21 est22, replace
gen cihigh=est22
gen cilow=est21
local est1=est1
if `est1' >=1000 {
tostring est1 ci*, force format(%9.0fc) replace
}
if `est1' >=10 & `est1' <1000 {
tostring est1 ci*, force format(%9.1f) replace
}
if `est1' <10 {
tostring est1 ci*, force format(%9.3f) replace
}
gen est=est1 + " (" + cilow + " - " + cihigh + ")"
keep id est
gen var="`var'"
gen iv="`iv'"
drop id
rename est B
gen p=`p'
tostring p*, force format(%9.4f) replace
gen pvar=p
save temp1.dta, replace
use temp.dta, clear
joinby var iv using temp1.dta, unmatched(none)
gen skew=`skew'
tostring skew, force format(%9.1f) replace
save temp.dta, replace
use output.dta, clear
append using temp.dta
save output.dta, replace
noi: display "You have modeled `var'=`iv' + `covars' with famliy(`fam') and link(`link')"
}
}
}
*
destring p*, replace
gen star="†" if p <=0.10
replace star="*" if p<=0.05
replace star="**" if p<=0.01
replace star="***" if p<=0.001
capture gen starvar="†" if pvar <=0.10
capture replace starvar="*" if pvar<=0.05
capture replace starvar="**" if pvar<=0.01
capture replace starvar="***" if pvar<=0.001
tostring p*, force format(%9.4f) replace
order var iv expB B p star
if "`link'" == "" | "`link'" == "identity" {
drop expB
gen estnew=star + B
drop B
rename estnew B
order var iv B p star skew
label var B "Coefficient (95% CI)"
}
else {
drop B
gen estnew=star + expB
drop expB
rename estnew expB
order var iv expB p star skew
gen est=expB + " (" + cilow + " - " + cihigh + ")"
label var expB "Exponentiated Coefficient (95% CI)"
}
label var var "Outcome"
label var iv "Independent Variable"
rename skew residskew
label var residskew "Skewness of Residuals"
label var p "P Value for IV"
label var star "Star of P Value"
drop if var==""
capture drop starvar
capture move residskew grporder
save output.dta, replace
*
capture erase temp1.dta
capture erase temp.dta
capture erase faketemp.dta
capture erase temp.txt
capture erase temp1.txt
drop star
}
describe
list , noobs divider sepby(var iv)
*restore
end
exit