It is a dummy Phase II single-arm study using ORR (binary endpoint) as primary endpoint. The purpose of this post is to illustrate the theory of Predictive Probability (Lee, J. J., & Liu, D. D. (2008)).

A simple description of basic idea of the principle of multiplicity in clinical trial.

This work tries to replicate the results from the following papers or slides.

Concepts in missing data and imputation

Two common missing data mechanisms in clinical trial

MAR

如果数据集中的其他变量（但不是该变量本身）可以用来预测某一特定变量的缺失，那么就可以说该变量是随机缺失（MAR）的。

Introduction

The following pseudo code assumes two arms, treatment vs control. When there are multiple treatment groups vs one control group, for each run of the code, only include one treatment vs the control.

The definition of a Dose Limiting Toxicity will be trial specific based on a predefined set of unacceptable AEs that are observed. The predefined list will specify if events are possibly study treatment-related or if events regardless of study treatment causality classify as a DLT.

Introduction

The following pseudo code assumes two arms, treatment vs control. When there are multiple groups, for each run of the code, only include one treatment vs the control comparison.

My note on missing data and EM algorithm in MSc course.

Cross v.s. Nested

Introduction

A more general definition of crossed random effects is simply: not nested.

Background

The dataframe YouthSurvey in the YouthSurvey.RData workspace contains data on the tolerance of 16 youths to deviant behaviour. Each year, when participants were ages 11, 12, 13, 14, and 15, they filled out a nine-item instrument designed to assess their tolerance of deviant behavior.