Random Dimension Low Sample Size Asymptotics

2021 ◽  
pp. 215-228
Author(s):  
Gerd Christoph ◽  
Vladimir V. Ulyanov
Keyword(s):  
Sample Size

Sample Size and the Detection of Correlation--A Signal Detection Account: Comment on Kareev (2000) and Juslin and Olsson (2005).

2005 ◽  
Vol 112 (1) ◽  
pp. 268-279 ◽  
Author(s):  
Richard B. Anderson ◽  
Michael E. Doherty ◽  
Neil D. Berg ◽  
Jeff C. Friedrich
Keyword(s):  
Signal Detection ◽  
Sample Size

ANTI-V task: Sample size can be fitted to task assessment requirements?

2011 ◽  
Author(s):  
M. Lopez-Ramon ◽  
C. Castro ◽  
J. Roca ◽  
J. Lupianez
Keyword(s):  
Sample Size ◽  
Task Assessment ◽  
Assessment Requirements

Model Fit and Sample Size Requirements for Large CFA Models

2009 ◽  
Author(s):  
Dennis L. Jackson ◽  
Marc Frey ◽  
Jennifer Voth
Keyword(s):  
Sample Size ◽  
Model Fit

Taking statistics courses may increase use of sample size information

2007 ◽  
Author(s):  
Natalie A. Obrecht ◽  
Gretchen B. Chapman ◽  
Rochel Gelman
Keyword(s):  
Sample Size ◽  
Size Information ◽  
Statistics Courses

Planning the Size of Clinical Trials with Allowance for Patient Noncompliance

1990 ◽  
Vol 29 (03) ◽  
pp. 243-246 ◽  
Author(s):  
M. A. A. Moussa
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Sample Size ◽  
Event Rate ◽  
Survival Functions ◽  
Time Intervals ◽  
Patient Noncompliance ◽  
Event Rates ◽  
Larger Sample

AbstractVarious approaches are considered for adjustment of clinical trial size for patient noncompliance. Such approaches either model the effect of noncompliance through comparison of two survival distributions or two simple proportions. Models that allow for variation of noncompliance and event rates between time intervals are also considered. The approach that models the noncompliance adjustment on the basis of survival functions is conservative and hence requires larger sample size. The model to be selected for noncompliance adjustment depends upon available estimates of noncompliance and event rate patterns.

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