Hey everyone! I’m currently a PhD student in an Earth Science program. My research primarily focuses on using remote sensing data for earth science. However, I want to pivot away from academia and anything earth science and start a career in data analytics. My main issue is coming up with a project idea for my portfolio and getting into a “business mindset”. I just saw a post from a while ago of someone coming up with a project using Netflix and looking into why people are unsubscribing, etc, and someone commented that the project wouldn’t be eye catching for recruiters. What kind of projects would be eye catching? What kind of questions should I be asking? I think I have the skills (SQL, Python, Tableau) but getting into the business mindset is whats troubling me. Anytime I come up with a project, I feel like its too academic and not anything that would interest a recruiter. I’ve been trying really hard not to spend money while learning about data analytics but would it be helpful to get the Google Data Analytics certificate? Or are there any other resources that might help?
... View more
A new update is available for SAS Web Infrastructure Data Base JDBC Drivers , version 9.43 : Hot Fix: M5U002 - Published 15MAY2024 , Download link for M5U002 Component name: SAS Web Infrastructure Data Base JDBC Drivers Related SAS release: 9.4 Issues addressed in M5U002 This list of notes might be incomplete. For a complete list of issues addressed by this hot fix, visit the hot fix page for M5U002 Note: A comprehensive list of all SAS hot fixes is available from support.sas.com. You can use the SAS Hot Fix Analysis, Download, and Deployment (SASHFADD) tool to manage your SAS hot fixes.
... View more
A new update is available for Base SAS , version 9.4_M8 : Hot Fix: L8X053 - Published 15MAY2024 , Download link for L8X053 Component name: Base SAS Related SAS release: 9.4 Issues addressed in L8X053 SAS Note 70797 Running SAS ® 9.4M7 (TS1M7) or SAS® 9.4M8 (TS1M8) with non-English European languages might result in an error This list of notes might be incomplete. For a complete list of issues addressed by this hot fix, visit the hot fix page for L8X053 Note: A comprehensive list of all SAS hot fixes is available from support.sas.com. You can use the SAS Hot Fix Analysis, Download, and Deployment (SASHFADD) tool to manage your SAS hot fixes.
... View more
Hello,
I used the codes at below to estimate the propensity score and logistic regression for inverse probability weighting.
How can I test the balance of the standardised mean differences before and after adjustment?
How to obtain the synthetic n values derived from weights?
Thanks
/***CREATING PROPENSITY SCORES********/
proc sort data=tab_imput; by _imputation_;run;
proc logistic data=tab_imput desc;
class var1 var2 var3 var4 var5 var6 var7 var8 var9 ;
model mut= var var1 var2 var3 var4 var5 var6 var7 var8 var9/link=logit rsquare ;
output out=denom p=d;
by _imputation_;
run;
proc logistic data=tab_imput desc;
model mut=;
output out=num p=n;
by _imputation_;
run;
proc sort data=tab_imput ;
by anonymat;run;
proc sort data=denom;
by anonymat;run;
proc sort data=num;
by anonymat;run;
data tab_imput_pscore;
merge tab_imput denom num;
by anonymat;
if mut=1 then uw=1/d; else if mut=0 then uw=1/(1-d);
if mut=1 then sw=n/d; else if mut=0 then sw=(1-n)/(1-d);
run;
proc sort data=tab_imput_pscore; by _imputation_;run;
/***PROPENSITY SCORE WEIGHTED OUTCOME MODEL****/
ods graphics on;
proc logistic data=tab_imput_pscore desc;
class mut(ref='no') / param=reference ;
model vif (event='no') = mut/ rsquare clodds=wald lackfit ;
weight sw ;
by _imputation_;
oddsratio mut;
ods output parameterEstimates = ipw_mut ;
run;
ods graphics off;
proc mianalyze parms=ipw_mut ;
modeleffects mut;
ods output parameterEstimates = ipw_mut1;
run;
data ipw_mut2; set ipw_mut1;
OR_est=EXP(ESTIMATE);
LCI_OR=OR_est*EXP(-1.96*STDERR);
UCI_OR=OR_est*EXP(+1.96*STDERR);
run;
proc print data=ipw_mut2;
var Parm OR_est LCI_OR UCI_OR Probt ;
run;
... View more