scispace - formally typeset
Open AccessJournal Article

Survival Analysis: Techniques for Censored and Truncated Data (2nd ed.) (Book)

Jun Yan
- 01 Jan 2004 - 
- Vol. 99, Iss: 467, pp 900
About
This article is published in Journal of the American Statistical Association.The article was published on 2004-01-01 and is currently open access. It has received 1240 citations till now.

read more

Citations
More filters
Journal ArticleDOI

Tutorial in biostatistics: competing risks and multi-state models.

TL;DR: This tutorial aims to review statistical methods for the analysis of competing risks and multi-state models, with the emphasis on practical issues like data preparation, estimation of the effect of covariates, and estimation of cumulative incidence functions and state and transition probabilities.
Journal ArticleDOI

fitdistrplus: An R Package for Fitting Distributions

TL;DR: Fitdistrplus as discussed by the authors provides functions for fitting univariate distributions to different types of data (continuous censored or non-censored data and discrete data) and allowing different estimation methods (maximum likelihood, moment matching, quantile matching and maximum goodness of fit estimation).
Journal ArticleDOI

Minimally Invasive versus Abdominal Radical Hysterectomy for Cervical Cancer

TL;DR: In this trial, minimally invasive radical hysterectomy was associated with lower rates of disease‐free survival and overall survival than open abdominal radical hysteresis among women with early‐stage cervical cancer.
Journal ArticleDOI

A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003

TL;DR: Recommendations are provided for the analysis and reporting of studies that employ propensity-score matching and common errors included using the log-rank test to compare Kaplan-Meier survival curves in the matched sample, and failing to account for the matched nature of the data.
References
More filters
Journal ArticleDOI

Tutorial in biostatistics: competing risks and multi-state models.

TL;DR: This tutorial aims to review statistical methods for the analysis of competing risks and multi-state models, with the emphasis on practical issues like data preparation, estimation of the effect of covariates, and estimation of cumulative incidence functions and state and transition probabilities.
Journal ArticleDOI

Transfusion of plasma, platelets, and red blood cells in a 1: 1:1 vs a 1:1:2 ratio and mortality in patients with severe trauma: The PROPPR randomized clinical trial

TL;DR: In this article, the effectiveness and safety of transfusing patients with severe trauma and major bleeding using plasma, platelets, and red blood cells in a 1:1:1 ratio compared with a 1 :1:2 ratio was evaluated.
Journal ArticleDOI

Minimally Invasive versus Abdominal Radical Hysterectomy for Cervical Cancer

TL;DR: In this trial, minimally invasive radical hysterectomy was associated with lower rates of disease‐free survival and overall survival than open abdominal radical hysteresis among women with early‐stage cervical cancer.
Proceedings ArticleDOI

A practical guide for using statistical tests to assess randomized algorithms in software engineering

TL;DR: It is shown that randomized algorithms are used in a significant percentage of papers but that, in most cases, randomness is not properly accounted for, which casts doubts on the validity of most empirical results assessing randomized algorithms.