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Table 3 Negative binomial regression of municipality characteristics on all physicians distribution

From: What influences national and foreign physicians’ geographic distribution? An analysis of medical doctors’ residence location in Portugal

(a)    
  Odds Ratio p-value 95% Confidence Interval
Sex(Male) 1,150 0,046 1,002 1,319
Age_Group_5(>50) 1,785 < 0,001 1,507 2,113
Nat_groups_Spanish   < 0,001   
Nat_groups_Brazilian 0,307 0,003 0,139 0,677
Nat_groups_Other European 0,465 0,053 0,214 1,011
Nat_groups_PALOP 0,231 0,199 0,090 0,443
Nat_groups_Other 0,324 < 0,001 0,217 0,483
Lang_Portuguese_PALOP   0,804   
Lang_Spanish 0,863 0,706 0,402 1,855
Lang_English 1,124 0,726 0,586 2,155
Constant 1,588 < 0,001   
n (Nagelkerke R-Square) 3736 (0,099)
(b)  
  Odds Ratio p-value 95% Confidence Interval
Sex(Male) 1,261 < 0,001 1,207 1,318
Age_Group_5(>50) 1,002 0,935 0,959 1,047
Constant 0,546 < 0,001   
n (Nagelkerke R-Square) 35737 (0,004)
(c)  
  Odds Ratio p-value 95% Confidence Interval
Sex(Male) 1,249 < 0,001 1,198 1,303
Age_Group_5(>50) 1,041 0,066 0,997 1,086
Nat_groups_Portuguese   < 0,001   
Nat_groups_Spanish 3,450 0,002 1,605 7,416
Nat_groups_Brazilian 1,243 0,012 1,050 1,471
Nat_groups_Other European 1,772 < 0,001 1,511 2,079
Nat_groups_PALOP 0.735 0,004 0,598 0.904
Nat_groups_Other 1,189 0,604 0,618 2,289
Lang_Portuguese   0,564   
Lang_Spanish 0,886 0,755 0,415 1,893
Lang_English 1,309 0,413 0,687 2,492
Constant 0,537 < 0,001   
n (Nagelkerke R-Square) 39473 (0,025)
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Human Resources for Health

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