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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1952 1
1955 1
1958 2
1961 2
1972 1
1974 1
1989 11
1990 33
1991 35
1992 47
1993 48
1994 65
1995 101
1996 70
1997 79
1998 66
1999 97
2000 109
2001 104
2002 121
2003 123
2004 152
2005 196
2006 221
2007 255
2008 300
2009 283
2010 287
2011 320
2012 331
2013 372
2014 319
2015 328
2016 365
2017 363
2018 304
2019 107
2020 1
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4,867 results
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Page 1
Survival analysis and regression models.
George B, et al. J Nucl Cardiol 2014 - Review. PMID 24810431 Free PMC article.
To handle these outcomes, as well as censored observations where the event was not observed during follow-up, survival analysis methods should be used. ...The goal of this paper is to review basic concepts of survival analysis. Discussions relating the Cox model and the AFT model will be provided. ...
To handle these outcomes, as well as censored observations where the event was not observed during follow-up, survival analysis
Statistical primer: basics of survival analysis for the cardiothoracic surgeon.
Thuijs DJFM, et al. Interact Cardiovasc Thorac Surg 2018. PMID 29800119
Survival analysis incorporates various statistical methods specific to data on time until an event of interest. While the event is often death, giving rise to the phrase 'survival analysis', the event might also be, for example, a reoperation. As such, it is sometimes referred to as 'time-to-event analysis'. Censoring sets survival analysis apart from other analyses: at the end of the follow-up period, not all subjects have experienced the event of interest, and some subjects may drop out of the study prior to completion. ...
Survival analysis incorporates various statistical methods specific to data on time until an event of interest. While the even
Survival analysis: caveats and pitfalls.
Mathew A, et al. Eur J Surg Oncol 1999 - Review. PMID 10336816
RESULTS: The Kaplan-Meier method was found to be the most suitable for survival analysis. The median survival time is a better method of summarizing data than the mean. ...A suitable rank test should be used to compare two or more survival curves, rather than a Z-test. Stratified analysis and Cox's model, when stratified analysis fails, can be used to define the impact of prognostic factors on survival....
RESULTS: The Kaplan-Meier method was found to be the most suitable for survival analysis. The median survival time is a …
Survival analysis, part 1: Introduction.
Koletsi D and Pandis N. Am J Orthod Dentofacial Orthop 2017. PMID 28863925
Survival analysis.
Flynn R. J Clin Nurs 2012. PMID 22860755
DESIGN: This paper introduces the principles, practice and terminology of survival analysis. METHODS: References are made to examples from open-access medical journals. ...CONCLUSIONS: Survival analysis represents a more efficient use of clinical data than other forms of analysis which rely on fixed time periods. ...
DESIGN: This paper introduces the principles, practice and terminology of survival analysis. METHODS: References are made to e …
Survival analysis.
Jiang H and Fine JP. Methods Mol Biol 2007 - Review. PMID 18450056
This chapter introduces some fundamental results in survival analysis. We first describe what is censored failure time data and how to interpret the failure time distribution. ...We then discuss the two-sample problem and the usage of the log-rank test for comparing survival distributions between groups. ...
This chapter introduces some fundamental results in survival analysis. We first describe what is censored failure time data an …
A practical guide to understanding Kaplan-Meier curves
Rich JT, et al. Otolaryngol Head Neck Surg 2010 - Review. PMID 20723767 Free PMC article.
"Survival" times need not relate to actual survival with death being the event; the "event" may be any event of interest. Kaplan-Meier analyses are also used in nonmedical disciplines. ...These examples also illustrate the crucially important point that comparative analysis depends upon the whole curve and not upon isolated points....
"Survival" times need not relate to actual survival with death being the event; the "event" may be any event of interest. Kapl …
A guide to survival analysis for manual therapy clinicians and researchers.
Hancock MJ, et al. Man Ther 2014 - Review. PMID 25301339
This masterclass aims to present a simple overview of survival analysis aimed at both clinicians and researchers in the manual therapy field. Specifically the masterclass aims to 1) describe situations where survival analysis is appropriate to use 2) describe unique characteristics of survival data including censoring of participants 3) describe analysis methods for survival data including log rank test and Cox regression 4) describe the interpretation of results from survival analyses including survival plots and hazard ratios....
This masterclass aims to present a simple overview of survival analysis aimed at both clinicians and researchers in the manual …
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