WARNReviewer 1· 90% conf
Statistical tests are named, software is identified, and data presentation is clear and comprehensive. However, exact p-values for key analyses are only reported as threshold comparisons (e.g., p=0.006), and effect sizes are reported without confidence limits that integrate all sources of uncertainty for the complier average causal effect. Mathematical plausibility checks are not applicable for the reported effect estimates.
Evidence
direct quote[Results, 'A protective effect of HZ vaccination on deaths due to dementia']
“The effect of actually receiving the HZ vaccination was a 29.5 (95% CI: 0.6–62.9, p = 0.046) percentage point reduction”direct quote[Methods, 'Quantification and Statistical Analysis']
“All statistical analysis code (in R)”absence[Methods, 'Quantification and Statistical Analysis']
Test assumptions are not explicitly verified for the RD models.PASSReviewer 2· 95% conf
Statistical tests are named, exact p-values are reported, effect sizes with CIs are given, software is identified, data presentation includes per-group n and standard errors, and mathematical plausibility checks pass.
Evidence
direct quote[Methods, QUANTIFICATION AND STATISTICAL ANALYSIS]
“Regression discontinuity (RD) is a well-established method for causal effect estimation for such threshold-based exposure assignments.”direct quote[Results, A protective effect of HZ vaccination on new diagnoses of MCI]
“Being born immediately after versus immediately before September 2, 1933... decreased the occurrence of new diagnoses of MCI over 9 years by 1.5 (95% confidence interval [CI]: 0.5–2.9, p = 0.006) percentage points.”paraphrase[Table 2, Figures 1-5]
“Table 2 provides sample sizes and percentages for each cohort; Figures show point estimates with 95% CI bars.”PASSReviewer 3· 85% conf
The statistical analysis is well-described for a regression discontinuity design, with named tests, software identified, and robust standard errors. Exact p-values and confidence intervals are reported for primary outcomes. Some concerns remain about assumptions and effect size reporting.
Evidence
direct quote[STAR Methods, 'Regression discontinuity analysis']
“We used a mean squared error (MSE)-optimal bandwidth with robust bias-corrected standard errors, and assigned a higher weight to observations closer to either side of the September 2 1933 date-of-birth eligibility threshold using triangular kernel weights.”direct quote[Results, 'A protective effect of HZ vaccination on new diagnoses of MCI']
“being eligible for HZ vaccination, decreased the occurrence of new diagnoses of MCI over 9 years by 1.5 (95% confidence interval [CI]: 0.5–2.9, p = 0.006) percentage points”direct quote[Results, 'Evidence against the existence of confounding']
“we did not observe systematic differences across the September 2, 1933, date-of-birth threshold in past preventive health services uptake nor the prevalence of the ten leading causes of DALYs and mortality”