Python for Survival Analysis: Kaplan-Meier and Reverse KM Plots Made Easy
Source category: Data Visualization & Interactive Analytics
Author collections: Girish Kankipati
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Girish Kankipati — Indexed Papers
Publications credited to Girish Kankipati in the available conference metadata. Browse coauthors and original source links below. This is a publication index, not a verified biographical profile; identical names may refer to different people.
14 papers · Showing 1–14
Visualizing oncology data through 3D bar charts in R and Python
Source category: Data Visualization and Reporting
Author collections: Girish Kankipati · Venkatesulu Salla
BIMO Brilliance: Your Path to Compliance Resilience
Source category: Submission Standards
Author collections: Jai Deep Mittapalli · Girish Kankipati
Multiple Logistic Regression Analysis using Backward Selection Process on Objective Response Data with SAS®
Source category: Statistics and Analytics
Author collections: Girish Kankipati · Jai Deep Mittapalli
Metadata Driven Approach for Creation of Clinical Trial Figures
Source category: Data Visualization and Reporting
Author collections: Jeremy Gratt · Qiuhong Jia · Girish Kankipati
Reconstruction of survival curves: An approach of comparing study drug curve with the standard of care digital survival curve
Source category: Applications Development
Author collections: Girish Kankipati · Jai Deep Mittapalli
Build a model: Introducing a methodology to develop multiple regression models using R in oncology trial analyses
Source category: Statistics and Analytics
Author collections: Girish Kankipati · Jai Deep Mittapalli
‘This Is Not the Date We Need. Let’s Backdate’: An Approach to Derive First Disease Progression Date in Solid Tumor Trials
Source category: Applications Development
Author collections: Girish Kankipati · Boxun Zhang
Calculation of Cochran–Mantel–Haenszel Statistics for Objective Response and Clinical Benefit Rates and the Effects of Stratification Factors
Source category: Statistics and Analytics
Author collections: Girish Kankipati · Chia-Ling Ally Wu
Normal is Boring, Let’s be Shiny: Managing Projects in Statistical Programming Using the RStudio® Shiny® App
Source category: Applications Development
Author collections: Girish Kankipati · Hao Meng
Raw data sets tracker: Time and project management based on the volume of available clinical data using SAS® software
Source category: e-Posters
Author collections: Girish Kankipati
When biomarker drives primary endpoint: An oncology case study of SDTM design using multiple myeloma.
Source category: e-Posters
Author collections: Girish Kankipati · Bhargav Koduru
Link Up Sync Up: Calculation of concordance and discordance rates between Independent Review Facility (IRF) and Investigator site data using SAS®
Source category: ePosters
Author collections: Bhargav Koduru · Girish Kankipati
Trial Summary: The Golden Gate towards a Successful Submission
Source category: Submission Standards
Author collections: Bhargav Koduru · Girish Kankipati