Homework 5
- Problem 1: Using the following survival
data
| i |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
| Ti |
2 |
5 |
8 |
12 |
15 |
21 |
25 |
29 |
30 |
34 |
Compute by hand the survival time estimates S(6), S(12),
and the hazard estimate h(12).
- Problem 2: Use
SOCR and/or
R to generate and interpret the Kaplan-Meyer survival curve for
the data below (Example 5 data in the SOCR
Survival Analysis Applet).
| time |
censor |
group |
| 9 |
1 |
M |
| 13 |
1 |
M |
| 13 |
0 |
M |
| 18 |
1 |
M |
| 23 |
1 |
M |
| 28 |
0 |
M |
| 31 |
1 |
M |
| 34 |
1 |
M |
| 45 |
0 |
M |
| 48 |
1 |
M |
| 161 |
0 |
M |
| 5 |
1 |
NM |
| 5 |
1 |
NM |
| 8 |
1 |
NM |
| 8 |
1 |
NM |
| 12 |
1 |
NM |
| 16 |
0 |
NM |
| 23 |
1 |
NM |
| 27 |
1 |
NM |
| 30 |
1 |
NM |
| 33 |
1 |
NM |
| 43 |
1 |
NM |
| 45 |
1 |
NM |
- Problem 3: The multivariate mmreg.csv
data includes 600 observations and 8 psychological, academic and demographic (gender) variables.
Use some dimensionality reduction
methods to interrogate the data and report your findings.
- Problem 4: Use the
Gazi University Student Evaluation Data Set
to compute two
test reliability measures (use only the responses in Q1-Q28). Interpret the results and
discuss your findings in the study-specific context. For extra credit you can think about
interpreting the impact of the course descriptive meta-data (Repeat, Attendance, Difficulty)
and their potential impact on student responses.
SOCR Resource Visitor
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