BIOSTATISTICS CASE STUDY:Tests of Association for Categorical DataTable 1 Characteristics of 399 patients with PTB andunivariate analyses of potential predictors ofsuccessful treatmentSuccessfulCharacteristicsPatients treatmentn (%)n(96)Pvalue*Sex0.392Male293 (73.4)106 (26.6)198 (67.6)77 (72.6)FemalePatients with comorbidities0.018No comorbidityWith comorbiditiesUnknown143 (35.9)255 (64.1)109 (76.2)165 (64.7)1 (100)CXR0.015CavitationsNo cavitationUnknown127 (31.9)271 (68.1)98 (77.2)176 (64.9)1 (100)Previous TB treatment0.815YesNoUnknown22 (5.8) 16 (72.7)360 (94.2) 246 (68.3)12 (70.6)17DOT0.002YesNoUnknown250 (63.1) 186 (74.43 (100)146 (36.9)86 (58.9)Diagnostic and treatingphysicians

Question
Asked Feb 20, 2019
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How do I generate expected values from the information listed in Table 1 for DOT?

BIOSTATISTICS CASE STUDY:
Tests of Association for Categorical Data
Table 1 Characteristics of 399 patients with PTB and
univariate analyses of potential predictors of
successful treatment
Successful
Characteristics
Patients treatment
n (%)
n(96)
Pvalue*
Sex
0.392
Male
293 (73.4)
106 (26.6)
198 (67.6)
77 (72.6)
Female
Patients with comorbidities
0.018
No comorbidity
With comorbidities
Unknown
143 (35.9)
255 (64.1)
109 (76.2)
165 (64.7)
1 (100)
CXR
0.015
Cavitations
No cavitation
Unknown
127 (31.9)
271 (68.1)
98 (77.2)
176 (64.9)
1 (100)
Previous TB treatment
0.815
Yes
No
Unknown
22 (5.8) 16 (72.7)
360 (94.2) 246 (68.3)
12 (70.6)
17
DOT
0.002
Yes
No
Unknown
250 (63.1) 186 (74.4
3 (100)
146 (36.9)
86 (58.9)
Diagnostic and treating
physicians
<0.001
298 (74.7)
221 (74.2)
Pulmonologist
Non-pulmonologist
102 (25.6)
55 (53.9)
Health-care institutions
<0.001
105 (26.3)
68 (64.8)
Medical centre
Regional hospital
District hospital and
144 (36.1)
98 (24.6)
399 (100)
*15-month follow-up after start of treatment.
92 (63.9)
66 (67.3)
Chest specialty hospital52 (13.0) 49 (94.2)
primary practitioners
Total
275 (68.9)
tx2 test.
PTB pulmonary tuberculosis; CXR chest X-ray, TB tuberculosis; DOT-
directly observed treatment.
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BIOSTATISTICS CASE STUDY: Tests of Association for Categorical Data Table 1 Characteristics of 399 patients with PTB and univariate analyses of potential predictors of successful treatment Successful Characteristics Patients treatment n (%) n(96) Pvalue* Sex 0.392 Male 293 (73.4) 106 (26.6) 198 (67.6) 77 (72.6) Female Patients with comorbidities 0.018 No comorbidity With comorbidities Unknown 143 (35.9) 255 (64.1) 109 (76.2) 165 (64.7) 1 (100) CXR 0.015 Cavitations No cavitation Unknown 127 (31.9) 271 (68.1) 98 (77.2) 176 (64.9) 1 (100) Previous TB treatment 0.815 Yes No Unknown 22 (5.8) 16 (72.7) 360 (94.2) 246 (68.3) 12 (70.6) 17 DOT 0.002 Yes No Unknown 250 (63.1) 186 (74.4 3 (100) 146 (36.9) 86 (58.9) Diagnostic and treating physicians <0.001 298 (74.7) 221 (74.2) Pulmonologist Non-pulmonologist 102 (25.6) 55 (53.9) Health-care institutions <0.001 105 (26.3) 68 (64.8) Medical centre Regional hospital District hospital and 144 (36.1) 98 (24.6) 399 (100) *15-month follow-up after start of treatment. 92 (63.9) 66 (67.3) Chest specialty hospital52 (13.0) 49 (94.2) primary practitioners Total 275 (68.9) tx2 test. PTB pulmonary tuberculosis; CXR chest X-ray, TB tuberculosis; DOT- directly observed treatment. Page i ot 4

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Expert Answer

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Step 1

Given data of DOT status and Successful treatments which were observed as shown below.

Here we need to fond the expected data

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Step 2

we calculate the expected data using this formula

Expected data = (Row total * Column total)/Total

you can see below for DOT status yes and successful treatment, ...

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