Probit model and Complementary log-log model.
| Basis of comparison | Probit model | Complementary log–log (cloglog) model | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Type of model | Binary regression model | Binary regression model | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Underlying distribution | Assumes normal distribution of the latent variable | Assumes extreme value (Gumbel) distribution | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Shape of curve | Symmetric S-shaped curve | Asymmetric curve (skewed) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Interpretation of probability | Change in predictors affects probability symmetrically around 0.5 | Change _________ ________ ___ ______ ________ _________ ___ _______ ______ __________ __________ _______. __________ ___ _____ _______ __________ _____ _____ _______ ______ ___ _______. ________ _____ ____ ______ _____ ____ ____ ______ _____ ___. ____ ___ ___ ____ __________. _______ _________ ________ ____ _______ _______ ___ ________ ____ ___. ____ ____ __________ _______ __________ __________ _________. _________ ____ ___ _______ _________ ____ ______ ______ ___ ____ _______. ____ _____ ____ _____ ______ ______ _____ ____ ________ _________ ___ ___. _______ ______ ____ ______. IGNOU ACADEMY Your IGNOU journey, made easier.
Continue Reading — It's Free Sign in with Google to unlock more of this answer. ✓ Free access ✓ Unlock up to 60% of the answer ✓ No payment required Quick Google sign-in. No separate registration form. Related Questions 4. The amount of dose (xi), total number of patients who received medicine (ni) and number of cured patients (yi) are recorded in the following table:
(i) Fit a logistic model considering initial values of Explain the Kaplan and Meier method of estimation with an example. 2. A study was conducted to compare two diagnostic methods, say, Method-I and Method-II. The following table shows the classification of the presence of infection on a 5-point Likert Scale (none, mild, moderate, severe and extreme):
A hypothetical study was conducted on ten participants who were followed up for the development of coronary heart disease (CHD) over a period of 10 years. The recorded data are given as follows:
Probit model and Complementary log-log model. Coefficient of determination and adjusted coefficient of determination. Left and Right censoring | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||