s intensive pro - work on plot mean cesd over time

collapsed 6m time windows into 12m time windows, still overlap of CI's though
s intens proc - more work on plots

tried doing plot of % improved over time, but still have overlap in ci's
oop - what if net worth = 0 or negative?

Looking at obs with negative net worth, need to address this in the oop/wealth ratio
spouse dataset - bring in wage index

bring in wage index by cbsa and then by state if missing
use 2010 wage index rather than the 2008 wage index
compiled by Ling previously
when used Ling's list, many observations were missing the wage index
s claims - adjusted spending for wage index

adjusted medicare spending, created new set of variables with _wi in the name for the
wage index adjusted spending values
surgery - added section to address JAMA reviewer comments

created a correlation matrix of all covariates
surgery - added aic/bic

get aic/bic after cloglog models in the log file 12-....
oop - deal with negative wealth

set wealth=1 if <=0 for purposes of calculating ratio oop spending to wealth
also add check of spouse helper hours vs other unpaid help hours male vs female decedents
surgery - more on correlation, c-statistic

added c-statistic to the cloglog regression output tables
added series of regressions omitting correlated variable pairs to see if coefficients change
spouse intens pro - more figures

added bar chart of mean ces-d by time and intensive procedure
revised plot of percent improved by time to only be 0-12m and 12m+ time windows
s intensive pro - ps match

updated variables for ps match, use s demo variables where need to either use s or r char (sex, etc)
s intens pro - started tables

created table 1 for overall sample characteristics
serious illness - fmm work

try using 2008 wave sample
modified list of covariates, this list has been reviewed with Amy
added postestimation for the hospital days outcome, 2 component model
s intense proc - added cesd change regression

but it doesn't work, something with the iweights and regress, seems to be treating it differently than
for the logit regression