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https://www.selleckchem.com/products/pki587.html 1% to 6.1%], using 450-ml glasses was 1.0% higher (95% CI = -9.1 to 12.2) and using 510-ml glasses was 0.4% lower (95% CI = -9.4 to 9.4). For restaurants, compared with 300-ml glasses, the volume of wine sold using 250-ml glasses did not show a significant difference 9.6% lower (95% CI = -19.0 to 0.7). Using 370-ml glasses the volume of wine sold was 7.3% higher (95% CI = 1.5% to 13.5%); no significant effect was found using 450-ml glasses 0.9% higher (95% CI = -5.5 to 7.7). CONCLUSIONS The volume of wine sold in restaurants in England may be greater when 370-ml glasses are used compared with 300-ml wine glasses, but may not be in bars. This might be related to restaurants compared with bars selling more wine in bottles and carafes, which require free-pouring. © 2020 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.Individual randomized trials (IRTs) and cluster randomized trials (CRTs) with binary outcomes arise in a variety of settings and are often analyzed by logistic regression (fitted using generalized estimating equations for CRTs). The effect of stratification on the required sample size is less well understood for trials with binary outcomes than for continuous outcomes. We propose easy-to-use methods for sample size estimation for stratified IRTs and CRTs and demonstrate the use of these methods for a tuberculosis prevention CRT currently being planned. For both IRTs and CRTs, we also identify the ratio of the sample size for a stratified trial vs a comparably powered unstratified trial, allowing investigators to evaluate how stratification will affect the required sample size when planning a trial. For CRTs, these can be used when the investigator has estimates of the within-stratum intracluster correlation coefficients (ICCs) or by assuming a common within-stratum ICC. Using these methods, we describe scenarios where stratification may have a practic

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