Continuous sequential analysis is increasingly used for near real-time post-market drug and vaccine safety surveillance. We explore continuous sequential monitoring when the null cannot be rejected until a minimum number of adverse events have occurred. For fixed alpha, one can simultaneously increase the statistical power and reduce the expected time to signal. We also evaluate continuous sequential analysis with a delayed start until a certain sample size has been attained. This is only useful if the start of the surveillance is delayed for logistical reasons. Tables with exact critical values, statistical power and the average times to signal are provided
summary:We propose a sequential monitoring scheme for detecting a change in scale. We consider a sta...
Interval-censored data often arise from serial screening programs for chronic diseases or from longi...
A nosocomial infection monitoring method was developed using repeated application of a tolerance int...
The use of sequential statistical analysis for post-market drug safety surveillance is quickly emerg...
Sequential analysis is now commonly used for post-market drug and vaccine safety surveillance, and a...
Sequential analysis hypothesis testing is now an important tool for postmarket drug and vaccine saf...
Statistical sequential hypothesis testing is meant to analyze cumulative data accruing in time. The...
The analysis of low integer-valued time series is an area of growing interest as time series of coun...
The problems addressed in this thesis are motivated by the following problem from clinical trials. S...
Thesis (Master's)--University of Washington, 2012Sequential safety monitoring of newly-licensed vacc...
Type I error probability spending functions are commonly used for designing sequential analysis of ...
PURPOSE: Active surveillance of population-based health networks may improve the timeliness of detec...
The self-controlled case series method is used to evaluate drug safety, particularly the safety of p...
Continual surveillance to detect some event is of interest in quite different situations in industry...
In this paper we consider a method for monitoring a clinical trial whose patients are sequentially e...
summary:We propose a sequential monitoring scheme for detecting a change in scale. We consider a sta...
Interval-censored data often arise from serial screening programs for chronic diseases or from longi...
A nosocomial infection monitoring method was developed using repeated application of a tolerance int...
The use of sequential statistical analysis for post-market drug safety surveillance is quickly emerg...
Sequential analysis is now commonly used for post-market drug and vaccine safety surveillance, and a...
Sequential analysis hypothesis testing is now an important tool for postmarket drug and vaccine saf...
Statistical sequential hypothesis testing is meant to analyze cumulative data accruing in time. The...
The analysis of low integer-valued time series is an area of growing interest as time series of coun...
The problems addressed in this thesis are motivated by the following problem from clinical trials. S...
Thesis (Master's)--University of Washington, 2012Sequential safety monitoring of newly-licensed vacc...
Type I error probability spending functions are commonly used for designing sequential analysis of ...
PURPOSE: Active surveillance of population-based health networks may improve the timeliness of detec...
The self-controlled case series method is used to evaluate drug safety, particularly the safety of p...
Continual surveillance to detect some event is of interest in quite different situations in industry...
In this paper we consider a method for monitoring a clinical trial whose patients are sequentially e...
summary:We propose a sequential monitoring scheme for detecting a change in scale. We consider a sta...
Interval-censored data often arise from serial screening programs for chronic diseases or from longi...
A nosocomial infection monitoring method was developed using repeated application of a tolerance int...