A study used logistic regression to determine characteristics associated with Y = whether a cancer patient achieved remission (1 = yes). The most important explanatory variable was a labeling index (LI) that measures proliferative activity of cells after a patient receives an injection of tritiated thymidine. It represents the percentage of cells that are “labeled.” Table 1 shows the grouped data. Software reports Table 2 for a logistic regression model using LI to predict π = P(Y = 1). Using information from Table 2, conduct a Wald test for the LI effect and Interpret. Using information from Table 2, construct a Wald confidence interval for the odds ratio corresponding to a 1-unit increase in LI  and interpret. Using information from Table 2, conduct a likelihood-ratio test for the LI effect  and interpret. Using information from Table 2, construct the likelihood-ratio confidence interval for the odds ratio and interpret.

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A study used logistic regression to determine characteristics associated with Y = whether a cancer patient achieved remission (1 = yes). The most important explanatory variable was a labeling index (LI) that measures proliferative activity of cells after a patient receives an injection of tritiated thymidine. It represents the percentage of cells that are “labeled.” Table 1 shows the grouped data. Software reports Table 2 for a logistic regression model using LI to predict π = P(Y = 1).

  1. Using information from Table 2, conduct a Wald test for the LI effect and Interpret.
  2. Using information from Table 2, construct a Wald confidence interval for the odds ratio corresponding to a 1-unit increase in LI  and interpret.
  3. Using information from Table 2, conduct a likelihood-ratio test for the LI effect  and interpret.
  4. Using information from Table 2, construct the likelihood-ratio confidence interval for the odds ratio and interpret.

 

Parameter Estimate
Intercept
-3.7771
0.1449
li
Table 2. Computer Output
Obs
1
2
li
8
10
Source
li
Standard
Error
remiss
0
0
1.3786
0.0593
DF
1
n
LR Statistic
Chi-Square
8.30
22
2
Likelihood Ratio
95% Conf. Limits
2
-6.9946 -1.4097
0.0425
0.2846
pi_hat
0.06797
0.08879
Pr > ChiSq
0.0040
lower
0.01121
0.01809
Chi-Square
7.51
5.96
upper
0.31925
0.34010
Transcribed Image Text:Parameter Estimate Intercept -3.7771 0.1449 li Table 2. Computer Output Obs 1 2 li 8 10 Source li Standard Error remiss 0 0 1.3786 0.0593 DF 1 n LR Statistic Chi-Square 8.30 22 2 Likelihood Ratio 95% Conf. Limits 2 -6.9946 -1.4097 0.0425 0.2846 pi_hat 0.06797 0.08879 Pr > ChiSq 0.0040 lower 0.01121 0.01809 Chi-Square 7.51 5.96 upper 0.31925 0.34010
Number of Number of
LI Cases Remissions
82246
10
12
14
16
2333N
0
0
0
0
0
LI
18
20
22
24
26
Number of Number of
Cases
Remissions
1
3
2
1
1
1
2
1
0
1
LI
28
32
34
38
Number of Number of
Cases
Remissions
1
1
1
3
1
0
1
2
Transcribed Image Text:Number of Number of LI Cases Remissions 82246 10 12 14 16 2333N 0 0 0 0 0 LI 18 20 22 24 26 Number of Number of Cases Remissions 1 3 2 1 1 1 2 1 0 1 LI 28 32 34 38 Number of Number of Cases Remissions 1 1 1 3 1 0 1 2
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