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Table 2 Variables relating to the probabilities of promotion according to the generalized estimated equation (GEE)

From: Women doctors and their careers in a large university hospital in Spain at the beginning of the 21st century

Link

Logit

 

Variance to mean relation

Binomial

 

Correlation structure

Exchangeable

 

Parameter

Estimate

Robust standard error

μ

0.955 417 895

0.255 786 186

β 1

−0.222 875 922

0.135 614 955

β 2

−0.064 278 247

0.412 122 598

β 3

−2.020 881 817

0.665 477 787

β 4

−0.605 994 396

0.037 185 707

β 5

−0.398 066 411

0.011 967 823

β 6

−0.385 661 872

0.272 070 952

β 7

0.171 573 637

0.235 407 444

β 8

0.035 426 149

0.019 260 666

β 9

1.478 049 384

0.480 925 713

β 10

0.102 782 104

0.740 428 923

β 11

1.472 276 046

0.419 162 871

β 12

0.318 933 210

0.671 786 702

β 13

−0.138 421 595

0.047 412 627

β 14

−0.093 635 915

0.060 024 332

β 15

−0.008 454 499

0.002 762 399

  1. Y = μ + β1 Women + β2 Consultant + β3 Senior Consultant + β4 Year + β5 Age + β6 Parity + β7 Masculinised + β8 Women * Age + β9 Consultant * Parity + β10 Senior Consultant * Parity + β11 Consultant * Masculinised + β12 Senior Consultant* Masculinised + β13 Consultant * Age + β14 Senior Consultant * Age + β15 Year * Age.