Skip to search form
Skip to main content
Semantic Scholar's Logo
Create Free Account
You are currently offline. Some features of the site may not work correctly.
National Institutes of Health
Stratified Random Sampling
Semantic Scholar uses AI to extract papers important to this topic.
A direct observation method for auditing large urban centers using stratified sampling, mobile GIS technology and virtual environments
Sean J V Lafontaine
International Journal of Health Geographics
Corpus ID: 13072930
BackgroundWith the expansion and growth of research on neighbourhood characteristics, there is an increased need for direct…
Assessment of powder blend uniformity: Comparison of real-time NIR blend monitoring with stratified sampling in combination with HPLC and at-line NIR Chemical Imaging.
European journal of pharmaceutics and…
Corpus ID: 9818791
Scope of the study was (1) to develop a lean quantitative calibration for real-time near-infrared (NIR) blend monitoring, which…
Doubly-robust estimators of treatment-specific survival distributions in observational studies with stratified sampling.
Sean M. O'Brien
Corpus ID: 21370391
Observational studies are frequently conducted to compare the effects of two treatments on survival. For such studies we must be…
Stratified Sampling Using Cluster Analysis
Corpus ID: 24628929
Background: An important question in the design of experiments is how to ensure that the findings from the experiment are…
Effect of sampling design on abundance estimates of benthic invertebrates in environmental monitoring studies
Corpus ID: 54616025
Random, stratified, systematic and adaptative sampling designs were analyzed compar- atively using data of benthic invertebrate…
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Terms of Service
ACCEPT & CONTINUE