Reader small image

You're reading from  Building Statistical Models in Python

Product typeBook
Published inAug 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781804614280
Edition1st Edition
Languages
Concepts
Right arrow
Authors (3):
Huy Hoang Nguyen
Huy Hoang Nguyen
author image
Huy Hoang Nguyen

Huy Hoang Nguyen is a Mathematician and a Data Scientist with far-ranging experience, championing advanced mathematics and strategic leadership, and applied machine learning research. He holds a Master's in Data Science and a PhD in Mathematics. His previous work was related to Partial Differential Equations, Functional Analysis and their applications in Fluid Mechanics. He transitioned from academia to the healthcare industry and has performed different Data Science projects from traditional Machine Learning to Deep Learning.
Read more about Huy Hoang Nguyen

Paul N Adams
Paul N Adams
author image
Paul N Adams

Paul Adams is a Data Scientist with a background primarily in the healthcare industry. Paul applies statistics and machine learning in multiple areas of industry, focusing on projects in process engineering, process improvement, metrics and business rules development, anomaly detection, forecasting, clustering and classification. Paul holds a Master of Science in Data Science from Southern Methodist University.
Read more about Paul N Adams

Stuart J Miller
Stuart J Miller
author image
Stuart J Miller

Stuart Miller is a Machine Learning Engineer with degrees in Data Science, Electrical Engineering, and Engineering Physics. Stuart has worked at several Fortune 500 companies, including Texas Instruments and StateFarm, where he built software that utilized statistical and machine learning techniques. Stuart is currently an engineer at Toyota Connected helping to build a more modern cockpit experience for drivers using machine learning.
Read more about Stuart J Miller

View More author details
Right arrow

Summary

In this chapter, we discussed three survival analysis models in depth; the Kaplan-Meier, the exponential, and the Cox Proportional Hazards regression models. Using these frameworks, we modeled survival functions and estimated survival probabilities and hazard ratios for various TTE, right-censored studies. For the multivariate case, we used Cox Proportional Hazards regression to model hazard ratios for covariate analysis on dependent variables. For all models, we demonstrated using the confidence intervals for assessing significance, as well as the corresponding p-values. At this point, the reader should be able to confidently identify the scenarios in which each model would outperform the others and appropriately fit and implement that model to obtain the necessary results for strategic success.

lock icon
The rest of the page is locked
Previous PageNext Chapter
You have been reading a chapter from
Building Statistical Models in Python
Published in: Aug 2023Publisher: PacktISBN-13: 9781804614280

Authors (3)

author image
Huy Hoang Nguyen

Huy Hoang Nguyen is a Mathematician and a Data Scientist with far-ranging experience, championing advanced mathematics and strategic leadership, and applied machine learning research. He holds a Master's in Data Science and a PhD in Mathematics. His previous work was related to Partial Differential Equations, Functional Analysis and their applications in Fluid Mechanics. He transitioned from academia to the healthcare industry and has performed different Data Science projects from traditional Machine Learning to Deep Learning.
Read more about Huy Hoang Nguyen

author image
Paul N Adams

Paul Adams is a Data Scientist with a background primarily in the healthcare industry. Paul applies statistics and machine learning in multiple areas of industry, focusing on projects in process engineering, process improvement, metrics and business rules development, anomaly detection, forecasting, clustering and classification. Paul holds a Master of Science in Data Science from Southern Methodist University.
Read more about Paul N Adams

author image
Stuart J Miller

Stuart Miller is a Machine Learning Engineer with degrees in Data Science, Electrical Engineering, and Engineering Physics. Stuart has worked at several Fortune 500 companies, including Texas Instruments and StateFarm, where he built software that utilized statistical and machine learning techniques. Stuart is currently an engineer at Toyota Connected helping to build a more modern cockpit experience for drivers using machine learning.
Read more about Stuart J Miller