KeyStat Solutions Technical Blog

Exploring R programming, clinical data analysis, and statistical computing

R Technical Blog

Professional insights on clinical programming and statistical computing

Welcome to KeyStat Solutions

Our technical blog provides practical, production-ready guidance on R programming, clinical trial data analysis, and statistical methods. We share real-world applications and best practices from our work in clinical researches.

Latest Posts

All Posts

Below is a condensed list of all posts grouped by year and month.

2026

September

Viterbi Decoding for Clinical Response Chains
Tipping-Point Analysis under Multiple Imputation

August

Decorator Pattern in R for Clinical Statistics
Powerful Data Validation Engine

July

Multiple Imputation Analysis with mianalyze()
How Long Are You Ready to Wait for Your Clinical Tables?
Getting Current R-script name in R automatically
Non-standard Applications of ksformat R-Package in Clinical Trials and Other Tasks
Getting Started with ksTFL: Creating Your First Clinical Table

Viterbi Decoding for Clinical Response Chains
R
Clinical Trials
Data analysis
Missing Data
Data Imputation
Survival
RECIST
Markov-Chain
Oncology trials record tumour response on a visit calendar: Baseline \(\rightarrow\) Week 4 \(\rightarrow\) Week 8 \(\rightarrow\) Week 12 \(\rightarrow\) Week 24. At each…
Vladimir Larchenko
Sep 21, 2026

Tipping-Point Analysis under Multiple Imputation
R
Clinical Trials
Data analysis
Missing Data
Data Imputation
Tipping Point
A tipping-point sensitivity analysis asks how far the assumptions about unobserved outcomes would have to depart from those used under MAR1 before a pre-specified treatment…
Vladimir Larchenko
Sep 4, 2026

Decorator Pattern in R for Clinical Statistics
R
QC
Clinical Trials
Data analysis
Data Management
Dynamic Programming (DP)
The Decorator pattern (Gamma et al., 1994) is one of the most practical Gang of Four (GoF) patterns for statistical programming.
Vladimir Larchenko
Aug 17, 2026

Powerful Data Validation Engine
R
QC
Clinical Trials
Data analysis
Data Management

Explore a validation framework centered around single simple function

Vladimir Larchenko (KeyStat Solutions)
Aug 3, 2026

Multiple Imputation Analysis with mianalyze()
R
Meta
Clinical Trials
Data analysis
Multiple Imputation
Rubin

Rubin’s Rules and Barnard-Rubin Degrees of Freedom

Vladimir Larchenko (KeyStat Solutions)
Jul 20, 2026

How Long Are You Ready to Wait for Your Clinical Tables?
R
ksTFL
clinical trial
r-package
Clinical Reporting

Performance comparison of Reporter and ksTFL R-packages

Igor Aleschenkov (KeyStat Solutions)
Jul 13, 2026
No matching items