Model diagnostics for old death events. by Xin Zhang (35492)

“…A similar trend was found for PM₁₀. For O₃ exposure, the highest risk was observed on the lag1-day of per 10 μg/m³ increase, with an ER of 1.073% (95% CI: 0.502% ~ 1.647%), and the largest cumulative effect occurred at a lag of 2 days with an ER of 1.113% (95%CI: 0.386% ~ 1.844%). …”

Model diagnostics for adult death events. by Xin Zhang (35492)

“…A similar trend was found for PM₁₀. For O₃ exposure, the highest risk was observed on the lag1-day of per 10 μg/m³ increase, with an ER of 1.073% (95% CI: 0.502% ~ 1.647%), and the largest cumulative effect occurred at a lag of 2 days with an ER of 1.113% (95%CI: 0.386% ~ 1.844%). …”

Model diagnostics for child death events. by Xin Zhang (35492)

“…A similar trend was found for PM₁₀. For O₃ exposure, the highest risk was observed on the lag1-day of per 10 μg/m³ increase, with an ER of 1.073% (95% CI: 0.502% ~ 1.647%), and the largest cumulative effect occurred at a lag of 2 days with an ER of 1.113% (95%CI: 0.386% ~ 1.844%). …”

Model diagnostics for all death events. by Xin Zhang (35492)

“…A similar trend was found for PM₁₀. For O₃ exposure, the highest risk was observed on the lag1-day of per 10 μg/m³ increase, with an ER of 1.073% (95% CI: 0.502% ~ 1.647%), and the largest cumulative effect occurred at a lag of 2 days with an ER of 1.113% (95%CI: 0.386% ~ 1.844%). …”

Model diagnostics for female death events. by Xin Zhang (35492)

“…A similar trend was found for PM₁₀. For O₃ exposure, the highest risk was observed on the lag1-day of per 10 μg/m³ increase, with an ER of 1.073% (95% CI: 0.502% ~ 1.647%), and the largest cumulative effect occurred at a lag of 2 days with an ER of 1.113% (95%CI: 0.386% ~ 1.844%). …”

Model diagnostics for male death events. by Xin Zhang (35492)

“…A similar trend was found for PM₁₀. For O₃ exposure, the highest risk was observed on the lag1-day of per 10 μg/m³ increase, with an ER of 1.073% (95% CI: 0.502% ~ 1.647%), and the largest cumulative effect occurred at a lag of 2 days with an ER of 1.113% (95%CI: 0.386% ~ 1.844%). …”

Information Sampling (Beads) Task and examples of agent performance in high and low certainty environments. by Diana C. Burk (14522613)

“…At the start of the tree, the variance in the probability distribution over the majority probability is highest and decreases with increasing numbers of draws. Note that the states with the same number of orange and blue beads after 3 draws are the same state. …”

Scatterplot of Δ_<i>p</i> in MGI and BioVU when using the first available measure rather than the mean measurement in a GWAS of Cholesterol level. by Jeffery A. Goldstein (9629170)

Local ancestry across the MHC. by Ashley H. Beecham (14294973)

Linear stability of the flow of a second order fluid past a wedge by Martina Cracco (19655263)

“…</p><p>'velProfiles' generates figures 2(a)-(f): Velocity profile and relative variation with respect to the Newtonian<br>profile for increasing and decreasing values of the parameter K; (a), (b) γ = 0 (flat plate); (c), (d) γ = 0.5<br>(flow past a wedge); (e), (f) γ = 1 (stagnation flow).…”