Part 1 Introduction: some examples; the scope of this book; use of statistical software. Part 2 Statistical inference for binary data: the binomial distribution; inference about the success probability; comparison of two proportions; comparison of two or more proportions. Part 3 Models for binary and binomial data: statistical modelling; linear models; methods of estimation; fitting linear models to binary data; models for binary response data; the linear logistic model; fitting the linear logistic model to binomial data; goodness of fit of a logistic model; comparing linear logistic models; linear trends in proportions; comparing stimulus-response relationships; non-convergence and over-fitting; a further example on model selection; predicting a binary response probability. Part 4 Bioassay and some other applications: the tolerance distribution; estimating an effective dose; relative potency; natural response; non-linear logistic regression models; applications of the complementary log-log model. Part 5 Definition of residuals; checking the form of the linear predictor; checking the adequacy of the link function; identification of outlying observations; indentification of influential observations; checking the assumption of a binomial distribution; model checking for binary data; a further example on the use of diagnostics. Part 6 Overdispersion: potential causes of overdispersion; modelling variability in response probabilities; modelling correlation between binary responses; modelling overdispersed data; the special case of equal n2; the beta-binomial model; random effects in a linear logistic model; summary and recommendations; a further example. Part 7 Modelling data from epidemiological studies: basic designs for aetiological studies; measures of association between disease and exposure; confounding and interaction; the linear logistic model for data from cohort studies; interpreting the parameters in a linear logistic model; the linear logistic model for data from case-control studies; matched case-control studies; a matched case-control studies; a matched case-control study on sudden infant death syndrome. Part 8 Some additional topics: analysis of proportions and percentages; analysis of rates; analysis of binary data from cross-over trials; random effects modelling; modelling errors in the measurement of explanatory variables; analysis of binary time series; multivariate binary data; experimental design. Part 9 Computer software for modelling binary data: statistical packages for modelling binary data; computer-based analyses of example data sets; using packages to perform some non-standard analyses; summary of the relative merits of packages for modelling binary data. Appendices: Tables of the logistic and probit transformations; algorithm for fitting the linear logistic model; glim macros used in modelling binary data.
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Analyse de variance.
موضوع مستند نشده
Distribution (Théorie des probabilités)
موضوع مستند نشده
Modèles linéaires (Statistique)
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )