Conformance Analysis of Population Means under Restricted Stratified Sampling

2010 ◽  
pp. 237-261
Author(s):  
Rainer Göb ◽  
Arne Müller
Keyword(s):  
Stratified Sampling ◽  
Population Means

The Effectiveness of Simple and Stratified Random Sampling in Broadcast News Content Analysis

1996 ◽  
Vol 73 (1) ◽  
pp. 159-168 ◽  
Author(s):  
Daniel Riffe ◽  
Stephen Lacy ◽  
Jason Nagovan ◽  
Larry Burkum
Keyword(s):  
Content Analysis ◽  
Random Sampling ◽  
Television News ◽  
Stratified Sampling ◽  
Efficient Technique ◽  
Standard Errors ◽  
Stratified Random Sampling ◽  
Broadcast News ◽  
Population Means ◽  
Content Analyses

A comparison of simple random, monthly stratified and quarterly/weekly stratified sampling in content analyses of television news used annual “populations” of network newscasts. Different samples were drawn and sample statistics compared with annual parameters. Based on percentages of samples that included population means within one or two standard errors, the most efficient technique was two random days per month.

Data Extraction Techniques for Spreadsheet Records

2007 ◽  
Vol 2 (1) ◽  
pp. 119-129 ◽  
Author(s):  
Mark G. Simkin
Keyword(s):  
Data Extraction ◽  
Stratified Sampling ◽  
Specific Information ◽  
Extraction Techniques ◽  
Filtering Techniques

Abstract Many accounting applications use spreadsheets as repositories of accounting records, and a common requirement is the need to extract specific information from them. This paper describes a number of techniques that accountants can use to perform such tasks directly using common spreadsheet tools. These techniques include (1) simple and advanced filtering techniques, (2) database functions, (3) methods for both simple and stratified sampling, and, (4) tools for finding duplicate or unmatched records.

Probability analysis of capturing specific objects in stratified sampling model

2013 ◽  
Vol 32 (8) ◽  
pp. 2209-2211
Author(s):  
Guan-ci YANG ◽  
Shao-bo LI ◽  
Yong ZHONG
Keyword(s):  
Stratified Sampling ◽  
Probability Analysis

The effect of surgery in tenosynovial giant cell tumours as measured by patient-reported outcomes on quality of life and joint function

2019 ◽  
Vol 101-B (3) ◽  
pp. 272-280 ◽  
Author(s):  
F. G. M. Verspoor ◽  
M. J. L. Mastboom ◽  
G. Hannink ◽  
W. T. A. van der Graaf ◽  
M. A. J. van de Sande ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Giant Cell ◽  
Diffuse Type ◽  
Joint Function ◽  
Population Means ◽  
Sf 36 ◽  
Patient Reported ◽  
The Impact

Aims The aim of this study was to evaluate health-related quality of life (HRQoL) and joint function in tenosynovial giant cell tumour (TGCT) patients before and after surgical treatment. Patients and Methods This prospective cohort study run in two Dutch referral centres assessed patient-reported outcome measures (PROMs; 36-Item Short-Form Health Survey (SF-36), visual analogue scale (VAS) for pain, and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC)) in 359 consecutive patients with localized- and diffuse-type TGCT of large joints. Patients with recurrent disease (n = 121) and a wait-and-see policy (n = 32) were excluded. Collected data were analyzed at specified time intervals preoperatively (baseline) and/or postoperatively up to five years. Results A total of 206 TGCT patients, 108 localized- and 98 diffuse-type, were analyzed. Median age at diagnosis of localized- and diffuse-type was 41 years (interquartile range (IQR) 29 to 49) and 37 years (IQR 27 to 47), respectively. SF-36 analyses showed statistically significant and clinically relevant deteriorated preoperative and immediate postoperative scores compared with general Dutch population means, depending on subscale and TGCT subtype. After three to six months of follow-up, these scores improved to general population means and continued to be fairly stable over the following years. VAS scores, for both subtypes, showed no statistically significant or clinically relevant differences pre- or postoperatively. In diffuse-type patients, the improvement in median WOMAC score was statistically significant and clinically relevant preoperatively versus six to 24 months postoperatively, and remained up to five years’ follow-up. Conclusion Patients with TGCT report a better HRQoL and joint function after surgery. Pain scores, which vary hugely between patients and in patients over time, did not improve. A disease-specific PROM would help to decipher the impact of TGCT on patients’ daily life and functioning in more detail. Cite this article: Bone Joint J 2019;101-B:272–280.

Spatial variability-based sample size allocation for stratified sampling

CATENA ◽  
2021 ◽  
Vol 206 ◽  
pp. 105509
Author(s):  
Shuangshuang Shao ◽  
Huan Zhang ◽  
Manman Fan ◽  
Baowei Su ◽  
Jingtao Wu ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Sample Size ◽  
Stratified Sampling ◽  
Sample Size Allocation
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