[HTML][HTML] Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves

P Guyot, AE Ades, MJNM Ouwens… - BMC medical research …, 2012 - Springer
Abstract Background The results of Randomized Controlled Trials (RCTs) on time-to-event
outcomes that are usually reported are median time to events and Cox Hazard Ratio. These …

Meta-analysis when only the median survival times are known: a comparison with individual patient data results

S Michiels, P Piedbois, S Burdett, N Syz… - International journal of …, 2005 - cambridge.org
Background: The hazard ratio (HR) is the most appropriate measure for time to event
outcomes such as survival. In systematic reviews, HRs can be calculated either from the raw …

Meta‐analysis of single‐arm survival studies: a distribution‐free approach for estimating summary survival curves with random effects

C Combescure, Y Foucher, D Jackson - Statistics in medicine, 2014 - Wiley Online Library
In epidemiologic studies and clinical trials with time‐dependent outcome (for instance death
or disease progression), survival curves are used to describe the risk of the event over time …

[HTML][HTML] IPDfromKM: reconstruct individual patient data from published Kaplan-Meier survival curves

N Liu, Y Zhou, JJ Lee - BMC medical research methodology, 2021 - Springer
Background When applying secondary analysis on published survival data, it is critical to
obtain each patient's raw data, because the individual patient data (IPD) approach has been …

Understanding survival analysis: Actuarial life tables and the Kaplan–Meier plot

A Barakat, A Mittal, D Ricketts… - British Journal of …, 2019 - magonlinelibrary.com
Survival analysis is a set of methods used to study the time between enrollment in a study
and the occurrence of an event of interest. Two methods are commonly used: actuarial life …

Survival plots of time-to-event outcomes in clinical trials: good practice and pitfalls

SJ Pocock, TC Clayton, DG Altman - The Lancet, 2002 - thelancet.com
Survival plots of time-to-event data are a key component for reporting results of many clinical
trials (and cohort studies). However, mistakes and distortions often arise in the display and …

[HTML][HTML] Improved curve fits to summary survival data: application to economic evaluation of health technologies

MW Hoyle, W Henley - BMC medical research methodology, 2011 - Springer
Background Mean costs and quality-adjusted-life-years are central to the cost-effectiveness
of health technologies. They are often calculated from time to event curves such as for …

Kaplan–meier curve

J Ranstam, JA Cook - Journal of British Surgery, 2017 - academic.oup.com
Analysis of time-to-event ('survival') data requires two pieces of data that are taken into
account simultaneously: the time period for which follow-up was available, and the status at …

Extracting summary statistics to perform meta‐analyses of the published literature for survival endpoints

MKB Parmar, V Torri, L Stewart - Statistics in medicine, 1998 - Wiley Online Library
Meta‐analyses aim to provide a full and comprehensive summary of related studies which
have addressed a similar question. When the studies involve time to event (survival‐type) …

Predicting the restricted mean event time with the subject's baseline covariates in survival analysis

L Tian, L Zhao, LJ Wei - Biostatistics, 2014 - academic.oup.com
For designing, monitoring, and analyzing a longitudinal study with an event time as the
outcome variable, the restricted mean event time (RMET) is an easily interpretable, clinically …