Survival Analysis: Techniques For Truncated And Censored Data, 2nd Edition. John P. Klein and Melvin L. Moeschberger, Springer-Verlag, New York, 2003. Hardcover. No. of pages: xv +536. ISBN 0-387-95399-X

2004 ◽  
Vol 23 (6) ◽  
pp. 1020-1021
Author(s):  
Gillian Z Heller
Keyword(s):  
New York ◽  
Survival Analysis ◽  
Censored Data ◽  
Analysis Techniques ◽  
Truncated And Censored Data

Application of survival analysis techniques to determine the optimal number of acupuncture therapy sessions for stroke patients

2020 ◽  
Vol 38 (3) ◽  
pp. 194-200
Author(s):  
Siriluck Sangtin ◽  
Thanan Supasiri ◽  
Rungroat Tangsathitporn ◽  
Krit Pongpirul
Keyword(s):  
Survival Analysis ◽  
Acupuncture Therapy ◽  
Clinical Improvement ◽  
Barthel Index ◽  
Optimal Number ◽  
Stroke Patients ◽  
Analysis Techniques ◽  
Significant Clinical Improvement ◽  
Late Treatment ◽  
Therapy Sessions

Background: Acupuncture has shown clinical benefits in stroke patients but there is currently no clear recommendation on the number of acupuncture sessions that should be offered. The aim of this study was to determine the optimal number of acupuncture therapy sessions, following which significant clinical improvement could be anticipated. Methods: We performed a retrospective observational study in stroke patients who had received acupuncture therapy as an adjunct treatment at Trang Hospital—a non-academic provincial hospital in Southern Thailand—between 1 July 2016 and 30 June 2017. Significant clinical improvement in activities of daily living (ADLs) was defined as an increase in the Barthel Index of ⩾10 points from baseline. Survival analysis techniques were applied to determine the optimal number of acupuncture therapy sessions. Results: Of 89 patients, 78% had a significant clinical improvement. Kaplan–Meier analysis estimated that 50% of the patients exhibited significant improvements by the eighth acupuncture therapy session. By the 16th session, the proportion of patients increased to 81%. Subgroup analyses revealed that the clinical improvement did not depend on baseline Barthel index, whereas early treatment (within 3 months of stroke onset) was associated with a faster response than late treatment. The median numbers of sessions required to achieve a significant improvement in the early and late treatment groups were 8 and 11, respectively. Conclusion: Stroke patients who were going to improve saw a significant improvement in Barthel index by the 16th acupuncture session and the marginal improvement declined substantially afterward. Our approach required minimal data available from the medical records of a non-academic facility, yet practical implication could be achieved. Trial Registration: The study was retrospectively registered on 18 August 2017 with the Thai Clinical Trials Registry (ref. TCTR20170822002).

Reasons and timing of cows leaving herd in dairy cows using survival analysis methodology

2007 ◽  
Vol 2007 ◽  
pp. 150-150
Author(s):  
A. Heravi Moussavi ◽  
M. Danesh Mesgaran ◽  
E. Dirandeh ◽  
A. Pirzadeh Naeini ◽  
R. Noorbakhsh
Keyword(s):  
Survival Analysis ◽  
Dairy Cows ◽  
Censored Data ◽  
Reproductive Performance ◽  
Dairy Farm ◽  
Stage Of Lactation ◽  
Analysis Methodology ◽  
Farm Profit ◽  
Health Disorders ◽  
Time Dependent Covariates

Cow longevity is highly related to dairy farm profit. Cows are culled for a variety of reasons. The predominant reasons for culling are reproduction (i.e., failure to conceive), health, and low production (Bascom and Young, 1998). Half of the herd removals occur involuntarily and prematurely because of health disorders (Beaudeau et al., 2000). The decision to cull is a complex one. Farmers may consider many individual (such as age, stage of lactation, milk production, health status, and reproductive performance) and economic (such as milk price, the price of culled cows, and the price and availability of replacement heifers) factors when deciding to cull a cow. On the other hand, the risk of culling is not consistent across all stages of lactation. Cows experience the highest risk shortly after calving (Fetrow et al., 2006). Survival analysis allows for a more appropriate management of censored data and time-dependent covariates. Analyses of the reason and timing of culling is needed to predict herd performance. The objective of this study was to study the reasons and timing of cows leaving herd in two large Holstein dairy farms in Iran.

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