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Table 4 Estimates of β k parameters of Eq. (7), ∆MORT s = β k ∆CUM_NCE_k s + γ ∆INCIDENCE_1 s + π ∆MORT_PRE s + δ′ + ε s ′ excluding and including ∆MORT_PRE s

From: The impact of pharmaceutical innovation on cancer mortality in Mexico, 2003–2013

Row Lag Parameter Estimate Std. err. T p value
    Without control for ∆MORT_PREV
22 0 β 0  0.26361 0.09837  2.67978 0.03155
23 3 β 3  0.26209 0.10704  2.44851 0.0442
24 6 β 6 − 0.16993 0.10048 − 1.69117 0.13465
25 9 β 9 − 0.20238 0.09249 − 2.18828 0.06484
26 12 β 12  0.26289 0.07605  3.45699 0.01059
27 15 β 15  0.27366 0.08422  3.24925 0.01407
28 18 β 18 − 0.27399 0.12188 − 2.24806 0.05937
    With control for ∆MORT_PREV
29 0 β 0 − 0.23336 0.09856 − 2.36765 0.0557
30 3 β 3 − 0.22552 0.11339 − 1.98885 0.09387
31 6 β 6 − 0.12894 0.11267 − 1.14446 0.29603
32 9 β 9 − 0.16884 0.10131 − 1.66657 0.14665
33 12 β 12  0.23641 0.08384  2.81985 0.03036
34 15 β 15  0.26438 0.06602  4.00487 0.00708
35 18 β 18  0.3807 0.03866  9.84795 0.00006
  1. Estimates in bold are statistically significant (p-value < .05)