Reference no: EM132401216

PUBHBIO 7220: Applied Logistic Regression, The Ohio State University, USA

Assignment

Problem 1

The data for the low birth weight study are described in Section 1.6.2. These data are used in Section 8.2 to illustrate ordinal logistic regression models via the four category outcome BWT4,

However in this problem use the outcome variable BWT4 and fit the multinomial or baseline logistic regression model with BWT4=0 as the referent outcome and consider as possible model covariates all other variables in Table 1.6 except birth weight.

The steps in fitting the model should include:

(1) A complete univariable analysis

(2) An appropriate selection of variables for a multivariable model (this should include scale identification for continuous covariates and assessment of the need for interactions)

(3) An assessment of fit of the multivariable model

(4) Preparation and presentation of a table containing the results of the final model (this table should contain point and interval estimates for all relevant odds ratios)

(5) Conclusions from the analysis.

Problem 2

Using the Mammography Experience data, find the best ordinal logistic regression model. The outcome of interest is Mammography Experience (ME).

The steps in fitting the model should include:

(1) A complete univariable analysis

(2) An appropriate selection of variables for a multivariable model (this should include scale identification for continuous covariates and assessment of the need for interactions)

(3) An assessment of fit of the multivariable model

(4) Preparation and presentation of a table containing the results of the final model (this table should contain point and interval estimates for all relevant odds ratios)

(5) Conclusions from the analysis.