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Alina_Zhuo

Alina

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Type I error unblinded using Lachin
One-sided test Type I error
Survival data Unblinded Interim
Survival data Blinded Interim
Type I Error Figures (exclude corner cases)
NRS power figure
Type I Error Figures
3D figures for rates assumptions 0.7 vs 0.4
3D figures for rates assumptions 0.7 vs 0.3
3D figures for rates assumptions 0.7 vs 0.2
Type I Error 2D Figure Binomial
Type I Error 2D Figure Binomial and Logrank
CP Survival Data Type I Error Calculations
Type I error 0 lower boundary 2D type I error
Type I Error Figure_1000
Type I Error Figure
Statistical Modelling Exercise 3 Part e
Statistical Modelling Exercise 3 Part d
Actual treatment 70% vs 40% Significant Probability Type I Error
Actual treatment 70% vs 20% Significant Probability Type I Error
Statistical Modelling Exercise 3 Part b
Statistical Modelling Exercise 2
Actual treatment 70% vs 50% Significant Probability Type I Error
Actual treatment 70% vs 30% Significant Probability Type I Error
Actual treatment 70% vs 30% Sample Size Ratio (New / Original)
Actual treatment 70% vs 30% Probability of Increasing Sample Size
Actual treatment 70% vs 30% Significant Probability
Actual treatment 70% vs 30% Sample Size Ratio
CP (Lachin 2005) Blinded and Unblinded
R function for APTs Statistical Computing Question 3
Conditional Power at Blinded Interim (Lachin, 2005)
Conditional Power at Blinded Interim
Conditional Power for Sample Size Re-estimation in Survival Data with Binomial Distribution (Reference: Lachin, 2005)
R simulation to calculate CP
R simulation to Calculate Binomial Rate at Blinded Interim
R simulation for CP/PZ (Liu & Lim 2017) method at an unfavorable scenario
R for Statistical Inference Question 6(b)
R for Statistical Inference course Question 6
Statistical Inference Course Question 5(a)
Statistical Inference Course Question 5(a)
R code to calculate CP and PZ (Reference: Liu & Lim, 2017)