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Trying to determine when to use a logistic regression and how to interpret the coefficients? Frustrated by the technical writing in other books on the topic? Pampel's book offers readers the first 'nuts and bolts' approach to doing logistic regression through the use of careful explanations and worked out examples.

Logistic regression analysis.

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This text begins by showing how logistic regression combines aspects of multiple linear regression and loglinear analysis to overcome problems both techniques have with the analysis of dichotomous dependent variables with continuous predictors. It then examines what can go wrong with the model and how to detect and correct it.

Logistic regression analysis.

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Logistic distribution --- Logistic regression analysis

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In this seventh chapter of his series on quantitative modeling, Professor Richard Waterman explains what to do when linear regression won't work with the data available. When data are dichotomous, logistic regression may be the right fit.

Logistic regression analysis. --- Research --- Statistical methods.

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Log-linear, logit and logistic regression models are the most common ways of analyzing data when (at least) the dependent variable is categorical. This volume shows how to compare coefficient estimates from regression models for categorical dependent variables in three typical research situations: (i) within one equation, (ii) between identical equations estimated in different subgroups, and (iii) between nested equations. Each of these three kinds of comparisons brings along its own particular form of comparison problems. Further, in all three areas, the precise nature of comparison problems in logistic regression depends on how the logistic regression model is looked at and how the effects of the independent variables are computed. This volume presents a practical, unified treatment of these problems, and considers the advantages and disadvantages of each approach, and when to use them, so that applied researchers can make the best choice related to their research problem. The techniques are illustrated with data from simulation experiments and from publicly available surveys. The datasets, along with Stata syntax, are available on a companion website

Logistic regression analysis --- Logistic regression analysis. --- Régression logistique. --- Quantitative methods in social research --- Mathematical statistics