1 Multilevel hierarchical

regression was used to account for the clustered nature of th

2 Multivariable Cox proportional hazards

regression was used to adjust for potential confounding by a

3 Negative binomial

regression was used to analyze changes from baseline, and rec

4 Poisson

regression was used to analyze the relation between inflammat

5 Multivariable logistic

regression was used to assess associations between comorbidit

6 Poisson

regression was used to assess differences between these group

7 Multivariable Cox

regression was used to assess risk factors for reflux recurre

8 Logistic

regression was used to assess risk factors for undiagnosed di

9 Hierarchical

regression was used to assess surgeon variation in adjusted r

10 Multivariable log-binomial

regression was used to assess the associations of baseline pa

11 Weighted multinomial

regression was used to assess the relationship between asthma

12 Logistic

regression was used to calculate crude and adjusted odds rati

13 Multivariable logistic

regression was used to calculate odds ratios (ORs) and 95% CI

14 Simple and multivariable linear

regression was used to compare body mass index groups.

15 timated accounting for the competing risk of death; Poisson

regression was used to compare rates of NCD occurrence by dem

16 Poisson

regression was used to compute relative risks (RRs) and 95% C

17 Linear

regression was used to control for state, age, sex, race/ethn

18 Time trends were identified and multivariable logistic

regression was used to determine sociodemographic factors ass

19 Multivariable linear

regression was used to determine the association between nonc

20 Generalized linear

regression was used to determine the effect of preoperative o

21 Logistic

regression was used to determine the independent and joint as

22 Multiple linear

regression was used to determine the relation between prevale

23 Stepwise

regression was used to determine variables predicting whether

24 Binary logistic

regression was used to develop a multivariable model incorpor

25 Cox

regression was used to estimate adjusted hazard ratios (HRs)

26 Multivariable Poisson log-linear

regression was used to estimate adjusted risk ratios (aRRs) a

27 Cox proportional hazards

regression was used to estimate hazard ratios (HRs) and 95% C

28 Survival analysis using Cox

regression was used to estimate hazard ratios for death.

29 Cox proportional hazards

regression was used to estimate HRs and 95% CIs of diabetes r

30 ation to determine whether troponin levels were stable, Cox

regression was used to estimate risks for all-cause, cardiova

31 Binary multivariable logistic

regression was used to estimate the odds of HPV infection.

32 Linear

regression was used to evaluate how levels of cortical FDG me

33 Logistic

regression was used to evaluate the association between race/

34 Cox proportional hazards

regression was used to evaluate the association between treat

35 Logistic

regression was used to examine the association between OCSs a

36 Weighted multivariable

regression was used to examine trends in rates of sudden deat

37 Meta-

regression was used to explore sources of heterogeneity among

38 Multivariable logistic

regression was used to explore the association of disease sta

39 eled in a derivation cohort, and backward stepwise logistic

regression was used to identify factors independently associa

40 Logistic

regression was used to identify genetic variants that were si

41 Multinomial logistic

regression was used to identify potential factors associated

42 Logistic

regression was used to identify risk factors for new persiste

43 Multivariate Cox proportional hazards

regression was used to identify significant independent predi

44 Multivariate linear

regression was used to identify socio-demographic and regiona

45 Logistic

regression was used to investigate if patient factors, physic

46 Polynomial

regression was used to model the influence of age on gray mat

47 Logistic

regression was used to obtain adjusted odds ratios (ORs) and

48 Multivariate logistic

regression was used to predict the outcome.

49 cluded simultaneously in a multilocus model and least angle

regression was used to select the most potentially associated

50 Logistic

regression was used to test for an interaction between subphe