Showing 261 - 280 results of 6,586 for search '(( testing ((data decrease) OR (a decrease)) ) OR ( ct ((largest decrease) OR (larger decrease)) ))', query time: 0.42s Refine Results
  1. 261

    Cross sectional dependency test. by Bharat Ram Dhungana (19680720)

    Published 2024
    “…The data were analysed using econometric models, including the cross sectional dependency test, panel unit root test, panel co-integration test, vector error correction model, pair-wise Granger causality test, and Wald test statistics. …”
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    Data and code from: Continental declines in North American small mammal populations by Alec Medd (20968740)

    Published 2025
    “…</b></p><p dir="ltr"><b>Abstract from associated paper:</b></p><p dir="ltr">We initially speculated that non-tropical North American (USA and Canada) small mammal abundances might have increased over the past several decades due to declines in mammalian predators. To test this idea, we assembled from small mammal researchers 818 time series of small mammal abundances, containing a total of 5,317 individual abundance data points, for 66 species in 21 genera. …”
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    Sample balance test. by Yanling Li (269030)

    Published 2025
    “…Using the newly released 2020 China Health and Retirement Longitudinal Study (CHARLS) data for a total of 1,510 study participants, this paper analyzes the impact of social support on the health of elderly men using the Oder Probit, OLogit, and PSM models, and then explores the variability across age stages and literacy levels, and eliminates the propensity score matching modeling by endogeneity problems caused by sample selectivity bias. …”
  11. 271

    Robustness test results. by Yanling Li (269030)

    Published 2025
    “…Using the newly released 2020 China Health and Retirement Longitudinal Study (CHARLS) data for a total of 1,510 study participants, this paper analyzes the impact of social support on the health of elderly men using the Oder Probit, OLogit, and PSM models, and then explores the variability across age stages and literacy levels, and eliminates the propensity score matching modeling by endogeneity problems caused by sample selectivity bias. …”
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    (a to g) Administration of vitamin D3 increased serum phosphorus and triglycerides. by Vidya G. Bettada (22208808)

    Published 2025
    “…Vitamin D3 administration did not change serum random glucose levels tested at the end of the treatment period. Analyses of serum cholesterol, HDL and triglycerides also showed a non-significant decrease in the serum HDL level upon treatment with 125 µg/Kg vitamin D3, but a noticeable increase in the serum triglyceride level was observed with 125 µg/Kg of vitamin D3.…”
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