scholarly journals A Comparison of Propensity Score and Linear Regression Analysis of Complex Survey Data

2021 ◽  
Vol 4 (1) ◽  
pp. 67-91
Author(s):  
Elaine L. Zanutto
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Propensity Score ◽  
Survey Data ◽  
Linear Regression Analysis ◽  
Complex Survey ◽  
Complex Survey Data

A Life Table Regression Analysis for Complex Survey Data

1985 ◽  
Vol 27 (7) ◽  
pp. 775-782
Author(s):  
Kevin F. O'Brien ◽  
C. M. Suchindran
Keyword(s):  
Regression Analysis ◽  
Life Table ◽  
Survey Data ◽  
Complex Survey ◽  
Complex Survey Data

scholarly journals It’s all about balance: propensity score matching in the context of complex survey data

Biostatistics ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 147-163 ◽  
Author(s):  
David Lenis ◽  
Trang Quynh Nguyen ◽  
Nianbo Dong ◽  
Elizabeth A Stuart
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Survey Data ◽  
Complex Survey ◽  
Complex Survey Data

scholarly journals Effects of a road system on caribou distribution during calving

Rangifer ◽  
1986 ◽  
Vol 6 (2) ◽  
pp. 95 ◽  
Author(s):  
J. R. Dau ◽  
R. D. Cameron
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Survey Data ◽  
Human Activity ◽  
Rangifer Tarandus ◽  
Linear Regression Analysis ◽  
Road Construction ◽  
The Road ◽  
Aerial Surveys ◽  
Road System

In winter 1981 - 82, a 29-km road system was built in a high-use caribou (Rangifer tarandus granti) calving area near Milne Point, Alaska. Aerial surveys of this area were conducted annually during the calving period for 4 years before and 4 years after road construction. Effects of the road system on the distribution of caribou were investigated by comparing survey data obtained during these two periods. The 41 400-ha study area was partitioned into 40 quadrats; after construction (1982 - 85), significantly fewer caribou were observed within quadrats encompassing the present road system than before construction (1978 - 81). The area within 6 km of the road system was stratified into six 1-km intervals, and differences in the distribution of caribou among those strata were examined using linear regression analysis. After construction, the density of maternal females was positively correlated with distance, whereas no such relationship was apparent before construction. Density of nonmaternal adults was unrelated to distance during both periods. The results suggest that a local displacement of maternal caribou has occurred in response to roads and associated human activity.

scholarly journals Linear Regression Diagnostics in Cluster Samples

2015 ◽  
Vol 31 (1) ◽  
pp. 61-75 ◽  
Author(s):  
Jianzhu Li ◽  
Richard Valliant
Keyword(s):  
Linear Regression ◽  
Least Squares ◽  
Survey Data ◽  
Weighted Least Squares ◽  
Ordinary Least Squares ◽  
Regression Diagnostics ◽  
Linear Regression Models ◽  
Complex Survey ◽  
Complex Survey Data ◽  
Influence Diagnostics

Abstract An extensive set of diagnostics for linear regression models has been developed to handle nonsurvey data. The models and the sampling plans used for finite populations often entail stratification, clustering, and survey weights, which renders many of the standard diagnostics inappropriate. In this article we adapt some influence diagnostics that have been formulated for ordinary or weighted least squares for use with stratified, clustered survey data. The statistics considered here include DFBETAS, DFFITS, and Cook's D. The differences in the performance of ordinary least squares and survey-weighted diagnostics are compared using complex survey data where the values of weights, response variables, and covariates vary substantially.

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