Automated build.

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M	.setup/build/betaSandwich.pdf
M	.setup/build/betaSandwich_1.0.7.9000.tar.gz
M	.setup/latex/bib/bib.bib
A	.setup/latex/bib/quarto.bib
M	.setup/latex/figures/pdf/std-reg.pdf
D	.setup/latex/pdf/.gitignore
D	.setup/latex/pdf/betaSandwich-001-description.pdf
D	.setup/latex/pdf/betaSandwich-999-session.pdf
D	.setup/latex/pdf/betaSandwich-zzz-references.pdf
D	.setup/latex/pdf/betaSandwich-zzz-tests-benchmark.pdf
D	.setup/latex/pdf/betaSandwich-zzz-tests-external.pdf
D	.setup/latex/pdf/betaSandwich-zzz-tests-internal.pdf
D	.setup/latex/pdf/betaSandwich-zzz-tests-staging.pdf
D	.setup/latex/pdf/bib.bib
M	vignettes/vignettes.bib

.setup/latex/bib/bib.bib

@@ -5051,3 +5051,45 @@ @Manual{Waller-2022
  publisher = {The R Foundation},
  annotation = {r, r-package},
 }
+
+@Article{Richards-Barnett-Cook-etal-2022,
+ author = {Veronica L. Richards and Nancy P. Barnett and Robert L. Cook and Robert F. Leeman and Timothy Souza and Stuart Case and Cindy Prins and Christa Cook and Yan Wang},
+ date = {2022-12},
+ journaltitle = {Alcohol: Clinical and Experimental Research},
+ title = {Correspondence between alcohol use measured by a wrist‐worn alcohol biosensor and self‐report via ecological momentary assessment over a 2‐week period},
+ doi = {10.1111/acer.14995},
+ issn = {2993-7175},
+ number = {2},
+ pages = {308--318},
+ volume = {47},
+ abstract = {Background: Transdermal alcohol biosensors measure alcohol use continuously, passively, and non-invasively. There is little field research on the Skyn biosensor, a new-generation, wrist-worn transdermal alcohol biosensor, and little evaluation of its sensitivity and specificity and the day-level correspondence between transdermal alcohol concentration (TAC) and number of self-reported drinks. Methods: Participants ($N = 36$; 61\% male, $M_{age} = 34.3$) wore the Skyn biosensor and completed ecological momentary assessment (EMA) surveys about their alcohol use over 2 weeks. A total of 497 days of biosensor and EMA data were collected. Skyn-measured drinking episodes were defined by TAC > $5 \mu g / L$. Skyn data were compared to self-reported drinking to calculate sensitivity and specificity (for drinking day vs. nondrinking day). Generalized estimating equations models were used to evaluate the correspondence between TAC features (peak TAC and TAC-area under the curve (AUC)) and number of drinks. Individual-level factors (sex, age, race/ethnicity, body mass index, human immunodeficiency virus status, and hazardous drinking) were examined to explore associations with TAC controlling for number of drinks. Results: Using a minimum TAC threshold of $5 \mu g / L$ plus coder review, the biosensor had sensitivity of 54.7\% and specificity of 94.6\% for distinguishing drinking from nondrinking days. Without coder review, the sensitivity was 78.1\% and the specificity was 55.2\%. Peak TAC ($\beta = 0.92, p < 0.0001$) and TAC-AUC ($\beta = 1.60, p < 0.0001$) were significantly associated with number of drinks. Females had significantly higher TAC levels than males for the same number of drinks. Conclusions: Skyn-derived TAC can be used to measure alcohol use under naturalistic drinking conditions, additional research is needed to accurately identify drinking episodes based on Skyn TAC readings.},
+ publisher = {Wiley},
+}
+
+@Article{Richards-Glenn-Turrisi-etal-2024,
+ author = {Veronica L. Richards and Shannon D. Glenn and Robert J. Turrisi and Kimberly A. Mallett and Sarah Ackerman and Michael A. Russell},
+ date = {2024-04},
+ journaltitle = {Alcohol, Clinical and Experimental Research},
+ title = {Transdermal alcohol concentration features predict alcohol‐induced blackouts in college students},
+ doi = {10.1111/acer.15290},
+ issn = {2993-7175},
+ number = {5},
+ pages = {880--888},
+ volume = {48},
+ abstract = {Background: Alcohol-induced blackouts (AIBs) are common in college students. Individuals with AIBs also experience acute and chronic alcohol-related consequences. Research suggests that how students drink is an important predictor of AIBs. We used transdermal alcohol concentration (TAC) sensors to measure biomarkers of increasing alcohol intoxication (rise rate, peak, and rise duration) in a sample of college students. We hypothesized that the TAC biomarkers would be positively associated with AIBs. Methods: Students were eligible to participate if they were aged 18-22 years, in their second or third year of college, reported drinking 4+ drinks on a typical Friday or Saturday, experienced $\geq 1$ AIB in the past semester, owned an iPhone, and were willing to wear a sensor for 3 days each weekend. Students ($N = 79$, $55.7\%$ female, $86.1\%$ White, $M_{age} = 20.1$) wore TAC sensors and completed daily diaries over four consecutive weekends (89.9\% completion rate). AIBs were assessed using the Alcohol-Induced Blackout Measure-2. Logistic multilevel models were conducted to test for main effects. Results: Days with faster TAC rise rates (OR = 2.69, $95\%$ CI: 1.56, 5.90), higher peak TACs (OR = 2.93, $95\%$ CI: 1.64, 7.11), and longer rise TAC durations (OR = 4.16, $95\%$ CI: 2.08, 10.62) were associated with greater odds of experiencing an AIB. Conclusions: In a sample of ``risky'' drinking college students, three TAC drinking features identified as being related to rising intoxication independently predicted the risk for daily AIBs. Our findings suggest that considering how an individual drinks (assessed using TAC biomarkers), rather than quantity alone, is important for assessing risk and has implications for efforts to reduce risk. Not only is speed of intoxication important for predicting AIBs, but the height of the peak intoxication and the time spent reaching the peak are important predictors, each with different implications for prevention.},
+ publisher = {Wiley},
+}
+
+@Article{Richards-Turrisi-Russell-2024,
+ author = {Veronica L. Richards and Robert J. Turrisi and Michael A. Russell},
+ date = {2024-05},
+ journaltitle = {Psychology of Addictive Behaviors},
+ title = {Subjective intoxication predicts alcohol-related consequences at equivalent alcohol concentrations in young adults using ecological momentary assessment and alcohol sensors},
+ doi = {10.1037/adb0000993},
+ issn = {0893-164X},
+ number = {3},
+ pages = {334--346},
+ volume = {38},
+ abstract = {Objective: Subjective intoxication (SI) when drinking may serve as an internal barometer of whether to continue drinking or engage in potentially unsafe behavior. Mobile assessments offer the potential to use SI as a prospective risk indicator during drinking episodes; little evidence exists for the validity of real-time SI measures. We test the correspondence of SI with estimated blood alcohol concentration and transdermal alcohol concentration (TAC) in young adults' natural settings. We provide a novel test of whether SI features (peak and mean SI) uniquely predict consequences adjusting for alcohol concentration. Method: Two hundred twenty-two heavy-drinking young adults ($M_{age} = 22.3$, 64\% female, 79\% non-Hispanic White, 84\% undergraduates) participated in a 6-day study that used ecological momentary assessment of drinking and TAC sensors. SI was assessed every 30 min during drinking episodes. Multilevel modeling was used to test hypotheses. Results: Momentary SI and estimated blood alcohol concentration had moderate associations at the moment and day levels (standardized $\beta$s = 0.5-0.6); SI was moderately associated with TAC at the day level ($\beta$s = 0.5). Associations between SI and alcohol concentration varied widely between persons and across days. Day-level SI features predicted consequences when adjusting for alcohol concentration (incidence rate ratios, IRRs = 1.29–1.70). Conclusions: Our two-item SI measure shows evidence of validity in real-world settings with heavy-drinking young adults. SI was significantly correlated with alcohol concentration and was a unique predictor of consequences. The strength of these associations varied greatly across persons and days. Real-time SI measurement may be useful in preventive interventions, but continued research is needed into when and for whom momentary SI is most predictive of risk.},
+ publisher = {American Psychological Association (APA)},
+}

.setup/latex/bib/quarto.bib

@@ -0,0 +1,11 @@
+@Article{Wright-1918,
+ author = {Sewall Wright},
+ date = {1918-07},
+ journaltitle = {Genetics},
+ title = {On the nature of size factors},
+ doi = {10.1093/genetics/3.4.367},
+ number = {4},
+ pages = {367--374},
+ volume = {3},
+ publisher = {Oxford University Press ({OUP})},
+}