A data set based on a meta-analysis of Patient Health Questionnaire-9 (PHQ-9) scores (Thombs et al. 2014, Levis et al. 2019). This particular data set is from Table S1 and Figure 3 in McGrath et al. (2020); See McGrath et al. (2020) for additional details. The rows in the data set correspond to the primary studies.
dat.phq9_rawA data frame with 58 rows and 9 columns:
author | first author of the primary study and the year of publication. |
n.g1 | number of subjects. |
min.g1 | minimum PHQ-9 score. |
q1.g1 | first quartile of the PHQ-9 scores. |
med.g1 | median PHQ-9 score. |
q3.g1 | third quartile of the PHQ-9 scores. |
max.g1 | maximum PHQ-9 score. |
mean.g1 | mean PHQ-9 score. |
sd.g1 | standard deviation of the PHQ-9 scores. |
Thombs B.D., Benedetti A., Kloda L.A., et al. (2014). The diagnostic accuracy of the Patient Health Questionnaire-2 (PHQ-2), Patient Health Questionnaire-8 (PHQ-8), and Patient Health Questionnaire-9 (PHQ-9) for detecting major depression: protocol for a systematic review and individual patient data meta-analyses. Systematic Reviews. 3(1):1-16.
Levis B., Benedetti A., Thombs B.D., and the DEPRESsion Screening Data (DEPRESSD) Collaboration. (2019). The diagnostic accuracy of the Patient Health Questionnaire-9 (PHQ-9) for detecting major depression. BMJ. 365:l1476.
McGrath S., Zhao X., Steele R., Thombs B.D., Benedetti A., and the DEPRESsion Screening Data (DEPRESSD) Collaboration. (2020). Estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis. Statistical Methods in Medical Research. 29(9):2520-2537.