Survival analysis: parametric models in depth · Introduction

Introduction

What this guide covers

A mathematical and statistical treatise on formal time-to-event modeling under continuous distributions, data censoring, and maximum likelihood and Bayesian inference.

Overview

Topics covered

Introduction
Parametric Models and Structured Regression
Fundamental Concepts of Survival Analysis
1.1 Definition of Basal Probability Functions
1.2 Types of Censoring and Truncation
1.2.1 Censoring of the Right

Related concepts

Main connections

Compatible notation

Mathematical sample in LaTeX

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F(t) = \mathbb{P}(T \leq t) = \int_0^t f(u) \, du

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F(t) = \mathbb{P}(T \leq t) = \int_0^t f(u) \, du