IGNOU MST 25 SOLVED ASSIGNMENT
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MST 25: Categorical and Survival Analysis
| Title Name | IGNOU MST 25 SOLVED ASSIGNMENT |
|---|---|
| Type | Soft Copy (E-Assignment) .pdf |
| University | IGNOU |
| Degree | MASTER DEGREE PROGRAMMES |
| Course Code | MSCAST |
| Course Name | M.Sc. (Applied Statistics) |
| Subject Code | MST 25 |
| Subject Name | Categorical and Survival Analysis |
| Year | 2025 |
| Session | - |
| Language | English Medium |
| Assignment Code | MST 25/Assignment-1/2025 |
| Product Description | Assignment of MSCAST (M.Sc. (Applied Statistics)) 2025. Latest MST 025 2026 Solved Assignment Solutions |
| Last Date of IGNOU Assignment Submission | Last Date of Submission of IGNOU BEGC-131 (BAG) 2025-26 Assignment is for January 2026 Session: 30th September, 2026 (for December 2025 Term End Exam). Semester Wise January 2025 Session: 30th March, 2026 (for June 2026 Term End Exam). July 2025 Session: 30th September, 2025 (for December 2025 Term End Exam). |
| Format | Ready-to-Print PDF (.soft copy) |
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- January 2025 Session: 31st October, 2025
- July 2025 Session: 30th April, 2025
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MST 025 (January 2025 - July 2025) - ENGLISH
MST-025: Categorical and Survival Analysis
Course Code: MST-025
Assignment Code: MST-025/TMA/2025
Maximum Marks: 50
Note: All questions are compulsory. Answer in your own words.
1. Differentiate between the following:
(a) Relative risk and odds ratio
(b) Chi-square tests for association and proportions
2. To study the association between diabetic patients and their family history of diabetes, the following data were obtained on 70 subjects.
| Diabetes in Family | Diabetes in Subject | Total | |
| Yes | No | ||
| Yes | 14 | 3 | 17 |
| No | 3 | 50 | 53 |
| Total | 17 | 53 | 70 |
Which test is appropriate in this situation? Check whether the diabetes runs with generations in families or not at a 5% level of significance using a suitable test
3. Describe censoring and differentiate between different types of censoring with the help of examples
4. A study was conducted on 185 patients aged more than 45 years, which were followed until the time of death or up to 10 years, whichever comes first. The patients have different covariates: age, gender (male/female), systolic blood pressure, smoking (yes/no), total serum cholesterol, and diabetes (yes/no). This study aims to determine which covariate influences the survival time. An analysis is conducted to investigate differences in all-cause mortality between men and women participating in the study. Suppose we obtain the following results after applying the Cox regression hazard model analyses:
| Risk Factor | Parameter Estimate | SE |
| Age | 0.150 | 0.010 |
| Gender | 0.450 | 0.150 |
| Systolic Blood Pressure | 0.015 | 0.008 |
| Smoking | 0.650 | 0.170 |
| Total Serum Cholesterol | 0.002 | 0.004 |
| Diabetes | -0.35 | 0.250 |
(i) Obtain hazard ratio and interpret the results.
(ii) Find the 99% confidence interval for the hazard ratio.
(iii) Test whether the covariates are significant or not at 1% level of significance.
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