Impact of Non-Weighting in the Analysis of Data Obtained from Complex Samples
Pesqui. bras. odontopediatria clín. integr
;
21: e0188, 2021. tab, graf
Article
in English
| LILACS, BBO
| ID: biblio-1287484
ABSTRACT
Abstract Objective:
To compare the estimates obtained, considering or not the weighting data. Material andMethods:
Secondary data from the Oral Health Survey of the State of São Paulo (SBSP2015) was used for calculation of mean estimates, standard errors of the mean and confidence intervals (CI) for the DMFT index and components (decayed, lost and filled), in the age group of 35-44 years. Multiple logistic regression models were estimated, considering or not the weighting from the sampling plan (p<0.05).Results:
It was observed that the estimates of the DMFT index and the carious component did not vary much when the design was considered or not (1.1% and 2.0%, respectively). However, the data referring to the lost and filled component showed greater differences between the values of the means. The averages fluctuated up and down by up to 6.7% for weighted versus unweighted analyses. The standard error was underestimated in the unweighted analysis and the confidence interval showed variations. Differences between the regression models obtained by the weighted and unweighted analysis of the data were detected.Conclusion:
Although weighted and unweighted models presented differences of less than 10% in estimates of the mean, confidence intervals, as well as statistical inferences, were different. Thus, weighting should be applied in the population base data analysis collected by sampling with complex designs.
Full text:
Available
Index:
LILACS (Americas)
Main subject:
DMF Index
/
Oral Health
/
Data Interpretation, Statistical
/
Public Health Systems Research
Type of study:
Risk factors
Limits:
Adult
/
Female
/
Humans
/
Male
Country/Region as subject:
South America
/
Brazil
Language:
English
Journal:
Pesqui. bras. odontopediatria clín. integr
Journal subject:
Dentistry
Year:
2021
Type:
Article
Affiliation country:
Brazil
Institution/Affiliation country:
Federal University of Paraíba/BR
/
University of Campinas/BR
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