| PharmaSUG |
2026 |
A systematic approach for imputing missing dose information in population pharmacokinetic analysis datasets |
Prema Sukumar, Renuka Hegde, Erin Dombrowsky, Neelima Thanneer |
source |
7 |
| PharmaSUG |
2026 |
Case Study: Integrating ADPPK CDISC Standards into Pharmacometric Programming and Analysis Workflows |
Praseeda Rajan, Renuka Hegde, Erin Dombrowsky, Neelima Thanneer, Yue Zhao |
source |
6 |
| PharmaSUG |
2026 |
Early Unblinding to Pharmacometrics (PMx) Data: Challenges, Practices, and Benefits |
Shweta Vadhavkar, Jing Su |
source |
6 |
| PharmaSUG |
2026 |
From Chaos to Clarity: A Programmer-s Perspective on Standardizing Population Pharmacokinetic (PopPK) Data for Regulatory Success |
Naveen Muppalla, Shibani Harite |
source |
7 |
| PharmaSUG |
2026 |
Navigating Early Career Challenges in PK/ADA Statistical Programming |
Diyu Yang, Sandeep Meesala |
source |
11 |
| PharmaSUG |
2026 |
User-defined Functions for Programming Population PK and PKPD Datasets |
Zhongqing He, Man Li, Hong Yan |
source |
7 |
| PHUSE US |
2026 |
Electronic Submission of Population PK Analysis Files ... What's Your Modus Operandi? |
Luai R. Alzoubi |
source presentation source |
13 |
| PHUSE EU |
2025 |
Leveraging AI for Seamless SAS to R Migration: Challenges and Opportunities |
Milena Kraus, Corrina Stoeckinger |
source presentation source |
11 |
| PHUSE EU |
2025 |
Pharmacokinetics Is Simple... Sometimes |
Vincent Buchheit |
source presentation source |
12 |
| PharmaSUG |
2025 |
A discussion of the new ADaM guidance (ADNCA and ADPPK) for pharmacokinetics. |
Luke Reinbolt |
source |
3 |
| PharmaSUG |
2025 |
Name That ADaM Dataset Structure |
Nancy Brucken |
source |
8 |
| PHUSE US |
2025 |
Optimizing Development and Regulatory Submission of eSUB Package for Exposure-Response and PK/PD Analysis |
Saumilkumar Tripathi, Ephicacy Lifescience |
source presentation source |
10 |
| PHUSE EU |
2024 |
Challenges Faced When Creating Dosing Records for a Population PK Dataset |
Marianne van Vugt, Gerly van der Vleuten |
source presentation source |
3 |
| PHUSE EU |
2024 |
Incorporating Longitudinal Co-Medication Data into Population Pharmacokinetic (POPPK) Analysis Datasets: A Programmer's Perspective |
Aschwin van der Giesen, Gerly van der Vleuten |
source presentation source |
5 |
| PHUSE US |
2024 |
An End User's Perspective of Clinical Dosing Data Used for Population PK/PD Analysis with Non-Linear Mixed Effects Modelling |
Rebecca Humphrey, Mitali Gaurav |
source poster source |
2 |
| PHUSE US |
2024 |
Population Pharmacokinetic Analysis Data (ADPPK) Programming in {admiral} and the pharmaverse |
Jeffrey Dickinson |
source poster source |
9 |
| PharmaSUG |
2023 |
Using R to Create Population Pharmacokinetic Dataset |
Yangwei Yan, Prema Sukumar, Neelima Thanneer |
source |
10 |
| PharmaSUG |
2022 |
Unravel the mystery around NONMEM data sets for statistical programmers |
Sabarinath Sundaram, Lyma Faroz |
source |
9 |
| PHUSE EU |
2021 |
Preparing PK/PD ADaM Datasets and eCRT Data Package for FDA Submission |
Junying Zhang |
source video presentation source |
11 |
| PHUSE US |
2020 |
Population PK Dataset: Basic Concepts and Challenges from the Perspective of a SAS Programmer |
Namrata Pokhrel |
source presentation source |
12 |
| PHUSE US |
2018 |
Making PK Analysis Easier: The New ADaM Data Standard ADNCA |
Peter Schaefer |
source presentation source |
6 |
| PHUSE US |
2018 |
Ready Set Go: Planning and Preparing a CDISC Submission |
Maria Dalton |
source presentation source |
11 |
| PharmaSUG |
2018 |
Data Standards for Population Pharmacokinetic (POPPK) and Non-Compartmental Analysis (NCA) |
Neelima Thanneer |
source |
7 |
| PharmaSUG |
2018 |
Preventing premature unblinding in PK/PD related studies |
Debbie Sisco, Alice Zong |
source |
11 |
| PharmaSUG |
2017 |
Population PK/PD Analysis - SAS with R and NONMEM Make Customization Easy |
Sharmeen Reza |
source |
11 |
| PharmaSUG |
2016 |
Scrambled Data - A Population PK/PD Programming Solution |
Sharmeen Reza |
source |
8 |
| SGF |
2016 |
Fitting Multilevel Hierarchical Mixed Models Using PROC NLMIXED |
Raghavendra Kurada |
source |
15 |
| PharmaSUG |
2015 |
Growing Needs in Drug Industry for NONMEM Programmers Using SAS |
Sharmeen Reza |
source |
11 |
| PHUSE EU |
2014 |
NONMEM - A Programmers Point of View |
Raghu Kishor Koukuntla |
source presentation source |
12 |
| SGF |
2007 |
Population Pharmacokinetics Studies with Nonlinear Mixed Effects Modeling |
Zaizai Shen, David Lu |
source |
11 |
| NESUG |
2002 |
Integration of SAS and NONMEM for Automation of Population Pharmacokinetic/Pharmacodynamic Modeling on UNIX systems |
Alan Xiao, Jill Fiedler-Kelly |
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5 |