Improving Your SAS Code Without SAS: Using Notepad++ to Super-charge Your Coding
Source category: Coding Tips and Tricks
Author collections: Simon Purkess
THE COMMUNITY ARCHIVE
PHUSE 2019 Papers ArchivePage 4
Browse indexed publications from PHUSE in 2019. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
323 papers · Showing 121–160
Incidence Density Sampling for Nested Case-control of Study Designs
Source category: Analytics and Statistics
Innovative SQLs
Source category: Coding Tips and Tricks
Interfacing with Interfaces
Source category: Application Development
Laboratory Data: Issues with Myultiple Reference Ranges and Methods of Normalisation
Source category: Data Handling
Author collections: Laura Marquis
LE03 Brand Yourself – Don't Become a Blackberry
Source category: Leadership
Author collections: Sangeeta Bhattacharya
Let's Look Further than One Observation: Applying Hash Objects for Typical Clinical Programming Tasks
Source category: Coding Tips and Tricks
Author collections: Valeriia Oreshko
LI01 The Importance of Sleep and How Best to Measure It
Source category: Leadership and Innovation
LI02 The Impact of AI, RWE, Precision Medicine and Mobile Health Technology on Streamlined Clinical Trials
Source category: Leadership and Innovation
Author collections: Stijn Rogiers · Olivier Bouchard
LI03 Janssen’s Journey Towards a Culture of Innovation
Source category: Leadership and Innovation
Author collections: Sumesh Kalappurakal · Sangeeta Bhattacharya
LI04 Leading a Migration Project
Source category: Leadership and Innovation
LI05 Statistical Programming in the Future – Our Mindset, Data FAIRness and the Importance of Stakeholder Relationships
Source category: Leadership and Innovation
Migrating to LSAF - Danone Nutricia Research's Journey
Source category: Data Handling
Author collections: Paul Vervuren · Jean-Marc Ferran
Mixed Model Repeated Measures (MMRMs)
Source category: Analytics and Statistics
ML01 Artificial Intelligence and Healthcare
Source category: Machine Learning
Author collections: Aman Bahl · Hrideep Antony
ML01 Using Image Recognition in Production Support
Source category: Machine Learning
ML02 Getting REAL with Supervised and Unsupervised Machine Learning Algorithms in the Real World
Source category: Machine Learning
Author collections: Himanshu Pandya · Bob Engle
ML02 Sub-population Detection Using Graph-based Machine Learning
Source category: Machine Learning
Author collections: Sergey Glushakov · Kostiantyn Drach
ML03 Symbolic Regression: Survival of the Best Fit
Source category: Machine Learning
Author collections: Hector Leitch
ML04 Hit and Miss: An Evaluation of Imputation Techniques from Machine Learning
Source category: Machine Learning
Author collections: Karma Tarap
ML05 Do You Know What Your Model is Doing? A Look at How Human Bias Influences Machine Learning
Source category: Machine Learning
Author collections: Jim Box
ML05 Metadata-based Auto-Programming Process – Part 2: Map Human Language to SAS Code by Natural Language Processing (NLP)
Source category: Machine Learning
Author collections: Sumesh Kalappurakal · Harry Chen
ML06 Using R to Build Artificial Neural Networks in Medical Data
Source category: Machine Learning
Author collections: Thomas Wollseifen
ML07 Machine Learning for Better Treatment with Omics and Clinical Data
Source category: Machine Learning
Author collections: Phani Ponnapalli · Subrahmanyam Rayaprolu
ML07 ML07 Interpreting Black-box Machine Learning Models: Real-world Evidence Examples and Application
Source category: Machine Learning
Author collections: Jim Box
ML08 An Overview of the PHUSE ML/AI Working Group Project
Source category: Machine Learning
Author collections: Kevin Lee
ML08 SMART RPA – Powered by Machine Learning
Source category: Machine Learning
Author collections: Charan Kumar Kuyyamudira Janardhana
ML09 AI-assisted Code Reviews
Source category: Machine Learning
Author collections: Igor Khorlo
ML09 Data Harmonization Using Machine Learning
Source category: Machine Learning
Author collections: Lex Jansen
ML10 Metadata-driven Automation in Drug Research
Source category: Machine Learning
Author collections: Hanming Tu
ML11 Smart Transformation of Clinical & Nonclinical Data for Insights
Source category: Machine Learning
Author collections: Isaac Mativo
ML12 Utilizing Artificial Intelligence for Efficient CRF Design
Source category: Machine Learning
Author collections: Komal Govil
ML13 To Digitally Transform Your Workplace, Change Your Operating System
Source category: Machine Learning
Multiple Imputation as a Valid Way of Dealing with Missing Data
Source category: Analytics and Statistics
Author collections: Vadym Kalinichenko
Next Generation Collaboration: Using Tasks and Snippets in SAS Studio
Source category: Coding Tips and Tricks
Author collections: Fatima Kassim
PD01 Putting Ourselves Under the Microscope. Exploring Professional Identity and Wellbeing: Impacts for Career Development
Source category: Professional Development
PD02 10 Useful Skills You May Have Learned through Being a Programmer – Other than Programming
Source category: Professional Development
Author collections: Paul Grimsey
PD03 Leaders – Wanted
Source category: Professional Development
Author collections: Detlef Nehrdich
PD04 The Importance of Feedback
Source category: Professional Development
Author collections: Donald Paterson
PD05 Career (and Life) Improvements Through Self-quantifying Biohacking Techniques
Source category: Professional Development
Author collections: Sascha Ahrweiler