Missing data analysis. Logistic regression analysis of missing data, comparing those who were included in the final sample with those who were excluded because of missing data in one or more variables. P-values and 95% confidence intervals are adjusted for clustering by sampling site (Total Nâ=â5331). (DOCX 16 kb
Analysis of the impact of missings in the association between attendance and the variable educationa...
Table S2–1. Questionnaire responses – trust, attitudes toward research. Table S2–2. Additional illus...
The Patient Records Enhancement Project (PREP) is a multidisciplinary project that involves field st...
Three additional tables showing 1) The percentage of missing data from each question in the question...
Table S1â1. Study location (county) demographics. Table S1â2. Participant questionnaire developm...
Search terms of electronic databases and detailed characteristics of the studies included in the sys...
Missing data for participants included in these analyses (nâ=â1526). The data in this section de...
Multilevel regression on 4 indicators with characteristics on three levels, i.e. patient, therapist ...
Supplementary results. This file contains additional tables presenting results from the analyses whi...
Median (Interquartile range (IQR)) absolute bias (%) for treatment effect, β1 for different approac...
The information that greeted respondents on the landing page of the survey. (PDF 119 kb
This file provides requested information regarding how the sample was recruited, how representative ...
Appendix B. - Algorithms to Identify Patients with the Test Conditions. A table outlining the compon...
Table on the associations between hearing loss and health service use in older adults when accountin...
Table S1. Demographic and clinical variables of participants (Nâ=â192). Demographic and clinical...
Analysis of the impact of missings in the association between attendance and the variable educationa...
Table S2–1. Questionnaire responses – trust, attitudes toward research. Table S2–2. Additional illus...
The Patient Records Enhancement Project (PREP) is a multidisciplinary project that involves field st...
Three additional tables showing 1) The percentage of missing data from each question in the question...
Table S1â1. Study location (county) demographics. Table S1â2. Participant questionnaire developm...
Search terms of electronic databases and detailed characteristics of the studies included in the sys...
Missing data for participants included in these analyses (nâ=â1526). The data in this section de...
Multilevel regression on 4 indicators with characteristics on three levels, i.e. patient, therapist ...
Supplementary results. This file contains additional tables presenting results from the analyses whi...
Median (Interquartile range (IQR)) absolute bias (%) for treatment effect, β1 for different approac...
The information that greeted respondents on the landing page of the survey. (PDF 119 kb
This file provides requested information regarding how the sample was recruited, how representative ...
Appendix B. - Algorithms to Identify Patients with the Test Conditions. A table outlining the compon...
Table on the associations between hearing loss and health service use in older adults when accountin...
Table S1. Demographic and clinical variables of participants (Nâ=â192). Demographic and clinical...
Analysis of the impact of missings in the association between attendance and the variable educationa...
Table S2–1. Questionnaire responses – trust, attitudes toward research. Table S2–2. Additional illus...
The Patient Records Enhancement Project (PREP) is a multidisciplinary project that involves field st...