![]() Where p is Prob(Y=y 1) for y 1 as one of two ordered levels of Y, For a binary response variable Y, it assumes: The binary response analysis models the relationship between a binary response variable and one or more explanatory variables. In many areas of social sciences research, one encounter dependent variables that assume one of two possible values such as presence or absence of a particular disease a patient may respond or not respond to a treatment during a period of time. This default situation will have a serious effect on the signs of the estimated parameters, and consequently the odds ratio as well as the confidence intervals for the model parameters. The most important difference between these three software is the default probability of the binary dependent or the response variable, where SAS uses the smaller value (zero) by default to estimate its probability, while SPSS and MINITAB use the higher sorted value (one) as a default. Table-2 demonstrate a summary of the main differences and similarities between SAS, SPSS, and MINITAB. Application of the three software packages on binary response data gave some similar and some other different results for the three link functions, logit, normit, and complementary logo-log functions. ![]()
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