Table 3.
Measure | Unadjusted | Propensity Score-Adjusted | |||||||
---|---|---|---|---|---|---|---|---|---|
Estimate | 95% CI | t-statistic | p-value | Estimate | 95% CI | t-statistic | df | p-value | |
Overall Learning | −0.624 | [−0.964 — −0.283] | 3.59 | <.001 | −0.609 | [−0.949 — − 0.268] | 3.50 | 48.1 | .001 |
Learning Over Trials | −0.449 | [−0.753 — −0.145] | 2.90 | .004 | −0.447 | [−0.752 — − 0.141] | 2.87 | 48.1 | .006 |
Trial 5 Total | −0.161 | [−0.259 — −0.063] | 3.23 | .001 | −0.158 | [−0.257 — − 0.060] | 3.16 | 48.1 | .003 |
Trial 1 Total | −0.035 | [−0.107 — 0.037] | 0.95 | .342 | −0.032 | [−0.104 — 0.040] | 0.88 | 48.1 | .383 |
Trial B Total | −0.063 | [−0.139 — 0.013] | 1.63 | .103 | −0.061 | [−0.136 — 0.015] | 1.56 | 48.1 | .124 |
Note: Estimate is the parameter estimate for the within-pair effect and 95% the 95% confidence interval around it, obtained by means of the cluster-robust sandwich estimator of standard errors in svyglm, adjusted for any effects of age cohort, sex and zygosity. Estimates in the right-hand portion of the table are propensity score-adjusted estimates of the within-pair effect. Propensity score indicators were all from the age-11 assessment (see Table S2). Missing values were imputed 50 times, a propensity score estimated for each imputation set, and cotwin-control analyses were conducted on each set using inverse probability of treatment weighting (IPTW). Results of the 50 sets of IPTW-weighted analyses were combined as using the procedure outlined by Rubin [39]. df are corrected as recommended by Barnard and Rubin [2].