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Alexis
Alexis
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Suppose in a logistic regression a one unit increase in a linear dependent variable corresponds to an oddodds ratio of 1.61. The 95 % confidence interval ranges from 1.19 to 2.54.

JMP calculates the confidence intervals for "range odds ratios" exponentially so that a 11 unit increase corresponds to an interval from 1.19^11 to 2.54^11. See http://www.jmp.com/support/help/Logistic_Fit_Platform_Options.shtml

Is this correct?

Suppose in a logistic regression a one unit increase in a linear dependent variable corresponds to an odd ratio of 1.61. The 95 % confidence interval ranges from 1.19 to 2.54.

JMP calculates the confidence intervals for "range odds ratios" exponentially so that a 11 unit increase corresponds to an interval from 1.19^11 to 2.54^11. See http://www.jmp.com/support/help/Logistic_Fit_Platform_Options.shtml

Is this correct?

Suppose in a logistic regression a one unit increase in a linear dependent variable corresponds to an odds ratio of 1.61. The 95 % confidence interval ranges from 1.19 to 2.54.

JMP calculates the confidence intervals for "range odds ratios" exponentially so that a 11 unit increase corresponds to an interval from 1.19^11 to 2.54^11. See http://www.jmp.com/support/help/Logistic_Fit_Platform_Options.shtml

Is this correct?

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user149399
user149399
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How does one calculate the confidence intervals of range odds ratios?

Suppose in a logistic regression a one unit increase in a linear dependent variable corresponds to an odd ratio of 1.61. The 95 % confidence interval ranges from 1.19 to 2.54.

JMP calculates the confidence intervals for "range odds ratios" exponentially so that a 11 unit increase corresponds to an interval from 1.19^11 to 2.54^11. See http://www.jmp.com/support/help/Logistic_Fit_Platform_Options.shtml

Is this correct?