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Statistics & Analysis

single oropharyngeal sample was obtained from each subject in a standardized manner questionnaire, procedure

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

1   Description of the assignment

1.1  Description of the data file:

From January 18 to August 29 2017, consecutive children who had received the 4-dose course of PCV13, as per the National Immunization Program recommendations, were prospectively enrolled through 45 general pediatric practice facilities in 30 municipalities in Greece. A single oropharyngeal sample was obtained from each subject in a standardized manner (questionnaire, procedure).

Based on the time interval since the fourth dose of PCV13, the children sampled were grouped for analysis in 6 groups: 26 days to 11 months (m); 12-23 m; 24-35 m; 36-47 m; 48-59 m and 60-71 m. (column E).

Carriage and distribution of Streptococcus pneumoniae serotypes was detected by RT-PCR (Column J to N). Blank cells

Demographics (Columns B and C)

Confounding factors (Columns F and I)

 

1.2        Objective of the program

 

Create 7 different files with results as the attached list of rtf files. Macros should be used (or any other programing approach) to perform repeated tasks

File

Description

SAS procedure

1

Demographics by total colonization including table footnotes

Customized program, choose your own approach

2

table of distributions of confounders and Grouping and graphs

Proc tabulate and proc gplot

3

Logistic regression where Grouping is an ordinal variable (1, 2, 3, 5, 6) for column J

 

Rows with confounders missing are excluded

proc logistic data=XX;

   class XX  (param=ref);

      model XX (event=' XX ')= XX / scale=none

                            clparm=wald

                            clodds=pl

                            rsquare;

 where XX ne ' XX ';

   run;

4

Logistic regression where Grouping is an ordinal variable (1, 2, 3, 5, 6) for column K

 

Rows with confounders missing are excluded

As above

5

Logistic regression where Grouping is an ordinal variable (1, 2, 3, 5, 6) for column L

 

Rows with confounders missing are excluded

As above

6

Logistic regression where Grouping is an ordinal variable (1, 2, 3, 5, 6) for column M

 

Rows with confounders missing are excluded

As above

7

Logistic regression where Grouping is an ordinal variable (1, 2, 3, 5, 6) for column N

 

Rows with confounders missing are excluded.

As above

 

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