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Sex Ratios 2002
DOI: 10.1017/cbo9780511542053.004
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Statistical analysis of sex ratios: an introduction

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Cited by 441 publications
(357 citation statements)
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References 27 publications
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“…We used backward elimination procedures and aggregation of factor levels to obtain the parsimonious 'minimal adequate model' by model simplification (8,(23)(24)(25). We report the percentage of deviance explained (%Dev) as an approximate analogue of r 2 .…”
Section: Statistical Analysesmentioning
confidence: 99%
See 1 more Smart Citation
“…We used backward elimination procedures and aggregation of factor levels to obtain the parsimonious 'minimal adequate model' by model simplification (8,(23)(24)(25). We report the percentage of deviance explained (%Dev) as an approximate analogue of r 2 .…”
Section: Statistical Analysesmentioning
confidence: 99%
“…We report the percentage of deviance explained (%Dev) as an approximate analogue of r 2 . The assumption of quasi-binomially distributed errors (based on empirically estimated scale parameters) was adopted to reduce the probability of Type I errors occurring due to overdispersion (23,24). Because multiple successful cycles from the same mother (i.e.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…The effect of soil moisture on population female frequency was analysed using a generalized linear model on logit-transformed odds ratio data in S-PLUS (Mathsoft Inc. 1999). This analysis assumes binomially distributed errors and weights the logits from each population by the sample size (Wilson & Hardy 2002). 3. RESULTS (a) Manipulative water experiment LH soil moisture was ca.…”
Section: (B) Manipulative Water Experimentsmentioning
confidence: 99%
“…Proportion data such as sex ratio usually have nonnormally distributed error variance and unequal sample sizes. To avoid these problems, we analyzed the data with a generalized linear model analysis of deviance, assuming binomial errors, and a logit link function (Crawley 1993;Wilson and Hardy 2002). However, the data were highly overdispersed, with the residual deviance 174 to 252 times the residual degrees of freedom (this ratio is the heterogeneity factor), suggesting that a binomial error structure was not appropriate.…”
Section: Statistical Analysesmentioning
confidence: 99%