2004
DOI: 10.1093/condor/106.3.457
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Use of Survival Time Analysis to Analyze Nesting Success in Birds: An Example Using Loggerhead Shrikes

Abstract: Ornithologists commonly estimate nest survival using the Mayfield method, which produces relatively unbiased estimates provided that key assumptions are met. However, this method cannot statistically model nest failure in relation to quantitative variables, nor can it consider the joint effects of two or more independent variables. We demonstrate the use of an alternative method, survival time analysis. Survival time analysis can incorporate nests that are found at different points in the nesting cycle and nes… Show more

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Cited by 38 publications
(29 citation statements)
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“…Predation risk and nest survival were measured using both Mayfield (Mayfield 1975) and standard survival analysis (Nur et al 2004) in JMP version 7.0 (SAS Inst., NC). Both of these analyses control for days of exposure and therefore account for the shorter duration of the laying stage.…”
Section: Methodsmentioning
confidence: 99%
“…Predation risk and nest survival were measured using both Mayfield (Mayfield 1975) and standard survival analysis (Nur et al 2004) in JMP version 7.0 (SAS Inst., NC). Both of these analyses control for days of exposure and therefore account for the shorter duration of the laying stage.…”
Section: Methodsmentioning
confidence: 99%
“…Failure-time analysis and Cox regression were used to explore patterns of nest survival (Nur et al 2004). Failure-time analysis is advantageous because with it one can build heuristic graphics that compare nest success, and it has a well-established statistical foundation, including ready incorporation of right-censored data.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…‘Survival‐Time analysis’, Nur et al . ) because it facilitates clearer interpretation of continuous covariate effects and better allows for the control of data non‐independence where survival over time is not inherently of interest. We ran binomial generalized linear mixed models (GLMMs) in r (glmer, lme4: R Core Team , Bates et al .…”
Section: Methodsmentioning
confidence: 99%