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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)