| PharmaSUG CN |
2026 |
Handling Missing Data in Analgesia Clinical Trials and Corresponding SAS Implementation |
Jingbo Zhu,
Jiehan Zhang |
source |
17 |
| PHUSE EU |
2025 |
Multiple Imputations Overview of Missing Data Problem, Solution Methods and SAS Implementation |
Dmytro Kalinin |
source
presentation source |
13 |
| MWSUG |
2025 |
Last Observation Carried Forward (LOCF) in Longitudinal Clinical Studies: Adopting a Functional Approach to Imputing Missing Values Using PROC FCMP, the SAS Function Compiler |
Troy Martin Hughes |
source |
9 |
| SESUG |
2025 |
Last Observation Carried Forward (LOCF) in Longitudinal Pharmaceutical and Clinical Trials Studies: Adopting a Functional Approach to Imputing Missing Values Using PROC FCMP, the SAS Function Compiler |
Troy Martin Hughes |
|
9 |
| WUSS |
2025 |
Last Observation Carried Forward (LOCF) in Longitudinal Clinical Studies: Adopting a Functional Approach to Imputing Missing Values Using PROC FCMP, the SAS Function Compiler |
Troy Martin Hughes |
source |
9 |
| PharmaSUG |
2025 |
Last Observation Carried Forward (LOCF) in Longitudinal Patient Studies: A Functional Approach to Imputing Missing Values Using PROC FCMP, the SAS Function Compiler |
Troy Martin Hughes |
source |
9 |
| PHUSE EU |
2020 |
Incomplete Data in Longitudinal Studies: Continuous and Dichotomous Outcome [presentation] |
Ana Grecu |
source
video |
20 |
| SGF |
2020 |
History Carried Forward, Future Carried Back: Mixing Time Series of Differing Frequencies |
Mark Keintz |
source |
14 |
| PHUSE US |
2020 |
LOCF Programming with 6-step Index Mapping |
Homer Wang |
source
presentation source |
5 |
| PharmaSUG |
2019 |
History Carried Forward, Future Carried Back: Mixing Time Series of Differing Frequencies |
Mark Keintz |
source |
11 |
| SGF |
2018 |
A Macro for Last Observation Carried Forward |
Jonson Jiang |
source |
5 |
| PHUSE EU |
2017 |
Are you Still Afraid of Using Arrays? Let's Explore their Advantages |
Vladyslav Khudov |
source
presentation source |
6 |
| PHUSE EU |
2016 |
Standard Methods for Analysis and Reporting of VAS or NRS Derived Pain Relief Response Scores |
James R. Johnson |
source
presentation source |
14 |
| PharmaSUG CN |
2015 |
Approaches to Missing Data in the Analysis of SpondyloArthritis International Society (ASAS 20) Response and the Creation of the Related CDISC Compliant Analysis Datasets |
Christine Joy Dureza |
|
12 |
| PharmaSUG |
2015 |
LOCF vs. LOV in Endpoint DTYPE Development with CDISC ADaM Standards |
Maggie Ci Jiang |
source |
6 |
| PharmaSUG |
2015 |
Missing Data For Repeated Measures: Single Imputation VS Multiple Imputation |
Giulia Tonini,
Simona Scartoni,
Camilla Paoli,
Andrea Nizzardo,
Angela Capriati |
source |
10 |
| PHUSE EU |
2014 |
Multiple Imputation: Better than Single Imputation in Pain Studies |
Ashik Chowdhury |
source
presentation source |
12 |
| PharmaSUG |
2014 |
Handling with missing data in clinical trials for time-to-event variables |
Giulia Tonini,
Simona Scartoni,
Angela Capriati |
source |
9 |
| WUSS |
2010 |
LOCF-Different Approaches, Same Results Using LAG Function, RETAIN Statement, and ARRAY Facility |
Iuliana Barbalau |
source |
5 |
| WUSS |
2010 |
Practical Uses of the DOW Loop |
Richard R. Allen |
source |
10 |
| SESUG |
2009 |
A User-Friendly Macro for Last Observation Carried Forward |
Tse-Hua J. Shih |
source |
6 |
| PHUSE EU |
2009 |
Practical Uses of the DOW Logo in Pharmaceutical Programming |
Richard R. Allen |
source |
10 |
| NESUG |
2009 |
LOCF Method and Application in Clinical Data Analysis |
Huijuan Xu |
|
5 |
| NESUG |
2009 |
LOCF: It's more than just carrying forward |
Vikash Jain,
Niraj J. Pandya |
|
10 |
| WUSS |
2009 |
Practical Uses of the DOW Loop |
Richard R. Allen |
source |
8 |
| PHUSE EU |
2006 |
The Power of RETAIN Statement in Clinical Trial Programming by Examples |
Baoxian Lan |
source |
5 |
| SUGI |
2006 |
Advanced Array Applications in Clinical Data Manipulation |
Zaizai Lu,
David Shen |
source |
11 |
| SESUG |
2005 |
The Missing Link: Data Analysis with Missing Information |
Venita DePuy |
source |
9 |
| NESUG |
2005 |
Handling Different Rules for the Imputation of Missing Data Using an LOCF Approach |
Mark Keese |
|
5 |
| PharmaSUG |
2005 |
Advanced Array Applications in Clinical Data Manipulation |
Zaizai Lu,
David Shen |
|
9 |
| PharmaSUG |
2005 |
RETAIN or NOT? Is LAG Far Behind? |
Venky Chakravarthy |
|
9 |
| PharmaSUG |
2004 |
Incremental Methods of Imputation for Longitudinal Data with Informative Missingness |
Naum M. Khutoryansky |
|
4 |
| PharmaSUG |
2003 |
How to LOCF without RETAIN and REINITIALIZING for FIRST.PATIENT |
Venky Chakravarthy |
|
4 |
| SUGI |
2003 |
The DOW (Not that DOW!!!) and the LOCF in Clinical Trials |
Venky Chakravarthy |
source |
4 |
| PharmaSUG |
2002 |
Imputation of Longitudinal Incomplete Data in Clinical Trials |
Naum M. Khutoryansky |
|
4 |
| PharmaSUG |
2001 |
Imputation Techniques Using SAS Software For Incomplete Data In Diabetes Clinical Trials |
Naum M. Khutoryansky,
Won-Chin Huang |
|
4 |
| PharmaSUG |
2000 |
The disadvantages of graphing "LOCF" data and a way of incorporating Discontinuation information graphically using PROC GREPLAY |
Sangeeta Bhattacharya |
|
4 |
| NESUG |
1998 |
Macro for computing LOCF: Comparison of results with PROC MIXED |
Patricia R. Houck |
|
2 |
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